how to check if char is letter or number [duplicate]

how to check if char is letter or number [duplicate] - javascript

There should be something akin to \w that can match any code-point in Letters or Marks category (not just the ASCII ones), and hopefully have filters like [[P*]] for punctuation, etc.

Situation for ES 6
The ECMAScript language specification, edition 6 (also commonly known as ES2015), includes Unicode-aware regular expressions. Support must be enabled with the u modifier on the regex. See Unicode-aware regular expressions in ES6 for a break-down of the feature and some caveats.
ES6 is widely adopted in both browsers and stand-alone Javascript runtimes such as Node.js, so using this feature won't require extra effort in most cases. Full compatibility list: https://kangax.github.io/compat-table/es6/
Situation for ES 5 and below (legacy browsers)
There is a transpiler named regexpu that translates ES6 Unicode regular expressions into equivalent ES5. It can be used as part of your build process. Try it out online..
Even though JavaScript operates on Unicode strings, it does not implement Unicode-aware character classes and has no concept of POSIX character classes or Unicode blocks/sub-ranges.
Issues with Unicode in JavaScript regular expressions
Check your expectations here: Javascript RegExp Unicode Character Class tester (Edit: the original page is down, the Internet Archive still has a copy.)
Flagrant Badassery has an article on JavaScript, Regex, and Unicode that sheds some light on the matter.
Also read Regex and Unicode here on SO. Probably you have to build your own "punctuation character class".
Check out the Regular Expression: Match Unicode Block Range builder (archived copy), which lets you build a JavaScript regular expression that matches characters that fall in any number of specified Unicode blocks.
I just did it for the "General Punctuation" and "Supplemental Punctuation" sub-ranges, and the result is as simple and straight-forward as I would have expected it:
[\u2000-\u206F\u2E00-\u2E7F]
There also is XRegExp, a project that brings Unicode support to JavaScript by offering an alternative regex engine with extended capabilities.
And of course, required reading: mathiasbynens.be - JavaScript has a Unicode problem:

Personally, I would rather not install another library just to get this functionality. My answer does not require any external libraries, and it may also work with little modification for regex flavors besides JavaScript.
Unicode's website provides a way to translate Unicode categories into a set of code points. Since it's Unicode's website, the information from it should be accurate.
Note that you will need to exclude the high-end characters, as JavaScript can only handle characters less than FFFF (hex). I suggest checking the Abbreviate Collate, and Escape check boxes, which strike a balance between avoiding unprintable characters and minimizing the size of the regex.
Here are some common expansions of different Unicode properties:
\p{L} (Letters):
[A-Za-z\u00AA\u00B5\u00BA\u00C0-\u00D6\u00D8-\u00F6\u00F8-\u02C1\u02C6-\u02D1\u02E0-\u02E4\u02EC\u02EE\u0370-\u0374\u0376\u0377\u037A-\u037D\u037F\u0386\u0388-\u038A\u038C\u038E-\u03A1\u03A3-\u03F5\u03F7-\u0481\u048A-\u052F\u0531-\u0556\u0559\u0561-\u0587\u05D0-\u05EA\u05F0-\u05F2\u0620-\u064A\u066E\u066F\u0671-\u06D3\u06D5\u06E5\u06E6\u06EE\u06EF\u06FA-\u06FC\u06FF\u0710\u0712-\u072F\u074D-\u07A5\u07B1\u07CA-\u07EA\u07F4\u07F5\u07FA\u0800-\u0815\u081A\u0824\u0828\u0840-\u0858\u08A0-\u08B4\u0904-\u0939\u093D\u0950\u0958-\u0961\u0971-\u0980\u0985-\u098C\u098F\u0990\u0993-\u09A8\u09AA-\u09B0\u09B2\u09B6-\u09B9\u09BD\u09CE\u09DC\u09DD\u09DF-\u09E1\u09F0\u09F1\u0A05-\u0A0A\u0A0F\u0A10\u0A13-\u0A28\u0A2A-\u0A30\u0A32\u0A33\u0A35\u0A36\u0A38\u0A39\u0A59-\u0A5C\u0A5E\u0A72-\u0A74\u0A85-\u0A8D\u0A8F-\u0A91\u0A93-\u0AA8\u0AAA-\u0AB0\u0AB2\u0AB3\u0AB5-\u0AB9\u0ABD\u0AD0\u0AE0\u0AE1\u0AF9\u0B05-\u0B0C\u0B0F\u0B10\u0B13-\u0B28\u0B2A-\u0B30\u0B32\u0B33\u0B35-\u0B39\u0B3D\u0B5C\u0B5D\u0B5F-\u0B61\u0B71\u0B83\u0B85-\u0B8A\u0B8E-\u0B90\u0B92-\u0B95\u0B99\u0B9A\u0B9C\u0B9E\u0B9F\u0BA3\u0BA4\u0BA8-\u0BAA\u0BAE-\u0BB9\u0BD0\u0C05-\u0C0C\u0C0E-\u0C10\u0C12-\u0C28\u0C2A-\u0C39\u0C3D\u0C58-\u0C5A\u0C60\u0C61\u0C85-\u0C8C\u0C8E-\u0C90\u0C92-\u0CA8\u0CAA-\u0CB3\u0CB5-\u0CB9\u0CBD\u0CDE\u0CE0\u0CE1\u0CF1\u0CF2\u0D05-\u0D0C\u0D0E-\u0D10\u0D12-\u0D3A\u0D3D\u0D4E\u0D5F-\u0D61\u0D7A-\u0D7F\u0D85-\u0D96\u0D9A-\u0DB1\u0DB3-\u0DBB\u0DBD\u0DC0-\u0DC6\u0E01-\u0E30\u0E32\u0E33\u0E40-\u0E46\u0E81\u0E82\u0E84\u0E87\u0E88\u0E8A\u0E8D\u0E94-\u0E97\u0E99-\u0E9F\u0EA1-\u0EA3\u0EA5\u0EA7\u0EAA\u0EAB\u0EAD-\u0EB0\u0EB2\u0EB3\u0EBD\u0EC0-\u0EC4\u0EC6\u0EDC-\u0EDF\u0F00\u0F40-\u0F47\u0F49-\u0F6C\u0F88-\u0F8C\u1000-\u102A\u103F\u1050-\u1055\u105A-\u105D\u1061\u1065\u1066\u106E-\u1070\u1075-\u1081\u108E\u10A0-\u10C5\u10C7\u10CD\u10D0-\u10FA\u10FC-\u1248\u124A-\u124D\u1250-\u1256\u1258\u125A-\u125D\u1260-\u1288\u128A-\u128D\u1290-\u12B0\u12B2-\u12B5\u12B8-\u12BE\u12C0\u12C2-\u12C5\u12C8-\u12D6\u12D8-\u1310\u1312-\u1315\u1318-\u135A\u1380-\u138F\u13A0-\u13F5\u13F8-\u13FD\u1401-\u166C\u166F-\u167F\u1681-\u169A\u16A0-\u16EA\u16F1-\u16F8\u1700-\u170C\u170E-\u1711\u1720-\u1731\u1740-\u1751\u1760-\u176C\u176E-\u1770\u1780-\u17B3\u17D7\u17DC\u1820-\u1877\u1880-\u18A8\u18AA\u18B0-\u18F5\u1900-\u191E\u1950-\u196D\u1970-\u1974\u1980-\u19AB\u19B0-\u19C9\u1A00-\u1A16\u1A20-\u1A54\u1AA7\u1B05-\u1B33\u1B45-\u1B4B\u1B83-\u1BA0\u1BAE\u1BAF\u1BBA-\u1BE5\u1C00-\u1C23\u1C4D-\u1C4F\u1C5A-\u1C7D\u1CE9-\u1CEC\u1CEE-\u1CF1\u1CF5\u1CF6\u1D00-\u1DBF\u1E00-\u1F15\u1F18-\u1F1D\u1F20-\u1F45\u1F48-\u1F4D\u1F50-\u1F57\u1F59\u1F5B\u1F5D\u1F5F-\u1F7D\u1F80-\u1FB4\u1FB6-\u1FBC\u1FBE\u1FC2-\u1FC4\u1FC6-\u1FCC\u1FD0-\u1FD3\u1FD6-\u1FDB\u1FE0-\u1FEC\u1FF2-\u1FF4\u1FF6-\u1FFC\u2071\u207F\u2090-\u209C\u2102\u2107\u210A-\u2113\u2115\u2119-\u211D\u2124\u2126\u2128\u212A-\u212D\u212F-\u2139\u213C-\u213F\u2145-\u2149\u214E\u2183\u2184\u2C00-\u2C2E\u2C30-\u2C5E\u2C60-\u2CE4\u2CEB-\u2CEE\u2CF2\u2CF3\u2D00-\u2D25\u2D27\u2D2D\u2D30-\u2D67\u2D6F\u2D80-\u2D96\u2DA0-\u2DA6\u2DA8-\u2DAE\u2DB0-\u2DB6\u2DB8-\u2DBE\u2DC0-\u2DC6\u2DC8-\u2DCE\u2DD0-\u2DD6\u2DD8-\u2DDE\u2E2F\u3005\u3006\u3031-\u3035\u303B\u303C\u3041-\u3096\u309D-\u309F\u30A1-\u30FA\u30FC-\u30FF\u3105-\u312D\u3131-\u318E\u31A0-\u31BA\u31F0-\u31FF\u3400-\u4DB5\u4E00-\u9FD5\uA000-\uA48C\uA4D0-\uA4FD\uA500-\uA60C\uA610-\uA61F\uA62A\uA62B\uA640-\uA66E\uA67F-\uA69D\uA6A0-\uA6E5\uA717-\uA71F\uA722-\uA788\uA78B-\uA7AD\uA7B0-\uA7B7\uA7F7-\uA801\uA803-\uA805\uA807-\uA80A\uA80C-\uA822\uA840-\uA873\uA882-\uA8B3\uA8F2-\uA8F7\uA8FB\uA8FD\uA90A-\uA925\uA930-\uA946\uA960-\uA97C\uA984-\uA9B2\uA9CF\uA9E0-\uA9E4\uA9E6-\uA9EF\uA9FA-\uA9FE\uAA00-\uAA28\uAA40-\uAA42\uAA44-\uAA4B\uAA60-\uAA76\uAA7A\uAA7E-\uAAAF\uAAB1\uAAB5\uAAB6\uAAB9-\uAABD\uAAC0\uAAC2\uAADB-\uAADD\uAAE0-\uAAEA\uAAF2-\uAAF4\uAB01-\uAB06\uAB09-\uAB0E\uAB11-\uAB16\uAB20-\uAB26\uAB28-\uAB2E\uAB30-\uAB5A\uAB5C-\uAB65\uAB70-\uABE2\uAC00-\uD7A3\uD7B0-\uD7C6\uD7CB-\uD7FB\uF900-\uFA6D\uFA70-\uFAD9\uFB00-\uFB06\uFB13-\uFB17\uFB1D\uFB1F-\uFB28\uFB2A-\uFB36\uFB38-\uFB3C\uFB3E\uFB40\uFB41\uFB43\uFB44\uFB46-\uFBB1\uFBD3-\uFD3D\uFD50-\uFD8F\uFD92-\uFDC7\uFDF0-\uFDFB\uFE70-\uFE74\uFE76-\uFEFC\uFF21-\uFF3A\uFF41-\uFF5A\uFF66-\uFFBE\uFFC2-\uFFC7\uFFCA-\uFFCF\uFFD2-\uFFD7\uFFDA-\uFFDC]
\p{Nd} (Number decimal digits):
[0-9\u0660-\u0669\u06F0-\u06F9\u07C0-\u07C9\u0966-\u096F\u09E6-\u09EF\u0A66-\u0A6F\u0AE6-\u0AEF\u0B66-\u0B6F\u0BE6-\u0BEF\u0C66-\u0C6F\u0CE6-\u0CEF\u0D66-\u0D6F\u0DE6-\u0DEF\u0E50-\u0E59\u0ED0-\u0ED9\u0F20-\u0F29\u1040-\u1049\u1090-\u1099\u17E0-\u17E9\u1810-\u1819\u1946-\u194F\u19D0-\u19D9\u1A80-\u1A89\u1A90-\u1A99\u1B50-\u1B59\u1BB0-\u1BB9\u1C40-\u1C49\u1C50-\u1C59\uA620-\uA629\uA8D0-\uA8D9\uA900-\uA909\uA9D0-\uA9D9\uA9F0-\uA9F9\uAA50-\uAA59\uABF0-\uABF9\uFF10-\uFF19]
\p{P} (Punctuation):
[!-#%-*,-/\:;?#\[-\]_\{\}\u00A1\u00A7\u00AB\u00B6\u00B7\u00BB\u00BF\u037E\u0387\u055A-\u055F\u0589\u058A\u05BE\u05C0\u05C3\u05C6\u05F3\u05F4\u0609\u060A\u060C\u060D\u061B\u061E\u061F\u066A-\u066D\u06D4\u0700-\u070D\u07F7-\u07F9\u0830-\u083E\u085E\u0964\u0965\u0970\u0AF0\u0DF4\u0E4F\u0E5A\u0E5B\u0F04-\u0F12\u0F14\u0F3A-\u0F3D\u0F85\u0FD0-\u0FD4\u0FD9\u0FDA\u104A-\u104F\u10FB\u1360-\u1368\u1400\u166D\u166E\u169B\u169C\u16EB-\u16ED\u1735\u1736\u17D4-\u17D6\u17D8-\u17DA\u1800-\u180A\u1944\u1945\u1A1E\u1A1F\u1AA0-\u1AA6\u1AA8-\u1AAD\u1B5A-\u1B60\u1BFC-\u1BFF\u1C3B-\u1C3F\u1C7E\u1C7F\u1CC0-\u1CC7\u1CD3\u2010-\u2027\u2030-\u2043\u2045-\u2051\u2053-\u205E\u207D\u207E\u208D\u208E\u2308-\u230B\u2329\u232A\u2768-\u2775\u27C5\u27C6\u27E6-\u27EF\u2983-\u2998\u29D8-\u29DB\u29FC\u29FD\u2CF9-\u2CFC\u2CFE\u2CFF\u2D70\u2E00-\u2E2E\u2E30-\u2E42\u3001-\u3003\u3008-\u3011\u3014-\u301F\u3030\u303D\u30A0\u30FB\uA4FE\uA4FF\uA60D-\uA60F\uA673\uA67E\uA6F2-\uA6F7\uA874-\uA877\uA8CE\uA8CF\uA8F8-\uA8FA\uA8FC\uA92E\uA92F\uA95F\uA9C1-\uA9CD\uA9DE\uA9DF\uAA5C-\uAA5F\uAADE\uAADF\uAAF0\uAAF1\uABEB\uFD3E\uFD3F\uFE10-\uFE19\uFE30-\uFE52\uFE54-\uFE61\uFE63\uFE68\uFE6A\uFE6B\uFF01-\uFF03\uFF05-\uFF0A\uFF0C-\uFF0F\uFF1A\uFF1B\uFF1F\uFF20\uFF3B-\uFF3D\uFF3F\uFF5B\uFF5D\uFF5F-\uFF65]
The page also recognizes a number of obscure character classes, such as \p{Hira}, which is just the (Japanese) Hiragana characters:
[\u3041-\u3096\u309D-\u309F]
Lastly, it's possible to plug a char class with more than one Unicode property to get a shorter regex than you would get by just combining them (as long as certain settings are checked).

Having also not found a good solution, I wrote a small script a long time ago, by downloading data from the unicode specification (v.5.0.0) and generating intervals for each unicode category and subcategory in the BMP (lately replaced by a small Java program that uses its own native Unicode support).
Basically it converts \p{...} to a range of values, much like the output of the tool mentioned by Tomalak, but the intervals can end up quite large (since it's not dealing with blocks, but with characters scattered through many different places).
For instance, a Regex written like this:
var regex = unicode_hack(/\p{L}(\p{L}|\p{Nd})*/g);
Will be converted to something like this:
/[\u0041-\u005a\u0061-\u007a...]([...]|[\u0030-\u0039\u0660-\u0669...])*/g
Haven't used it a lot in practice, but it seems to work fine from my tests, so I'm posting here in case someone find it useful. Despite the length of the resulting regexes (the example above has 3591 characters when expanded), the performance seems to be acceptable (see the tests at jsFiddle; thanks to #modiX and #Lwangaman for the improvements).
Here's the source (raw, 27.5KB; minified, 24.9KB, not much better...). It might be made smaller by unescaping the unicode characters, but OTOH will run the risk of encoding issues, so I'm leaving as it is. Hopefully with ES6 this kind of thing won't be necessary anymore.
Update: this looks like the same strategy adopted in the XRegExp Unicode plug-in mentioned by Tim Down, except that in this case regular JavaScript regexes are being used.

September 2018 (updated February 2019)
It seems that regexp /\p{L}/u for match letters (as unicode categories)
works on Chrome 68.0.3440.106 and Safari 11.1.2 (13605.3.8)
NOT working on Firefox 65.0 :(
Here is a working example
In below field you should be able to to type letters but not numbers<br>
<input type="text" name="field" onkeydown="return /\p{L}/u.test(event.key)" >
I report this bug here.
Update
After over 2 years according to: 1500035 > 1361876 > 1634135 finally this bug is fixed and will be available in Firefox v.78+

[^\u0000-\u007F]+ for any characters which is not included ASCII characters.
For example:
function isNonLatinCharacters(s) {
return /[^\u0000-\u007F]/.test(s);
}
console.log(isNonLatinCharacters("身分"));// Japanese
console.log(isNonLatinCharacters("测试"));// Chinese
console.log(isNonLatinCharacters("حمید"));// Persian
console.log(isNonLatinCharacters("테스트"));// Korean
console.log(isNonLatinCharacters("परीक्षण"));// Hindi
console.log(isNonLatinCharacters("מִבְחָן"));// Hebrew
Here are some perfect references:
Unicode range RegExp generator
Unicode Regular Expressions
Unicode 10.0 Character Code Charts
Match Unicode Block Range

As mentioned in other answers, JavaScript regexes have no support for Unicode character classes. However, there is a library that does provide this: Steven Levithan's excellent XRegExp and its Unicode plug-in.

In JavaScript, \w and \d are ASCII, while \s is Unicode. Don't ask me why. JavaScript does support \p with Unicode categories, which you can use to emulate a Unicode-aware \w and \d.
For \d use \p{N} (numbers)
For \w use [\p{L}\p{N}\p{Pc}\p{M}] (letters, numbers, underscores, marks)
Update: Unfortunately, I was wrong about this. JavaScript does does not officially support \p either, though some implementations may still support this. The only Unicode support in JavaScript regexes is matching specific code points with \uFFFF. You can use those in ranges in character classes.

This will do it:
/[A-Za-z\u00C0-\u00FF ]+/.exec('hipopótamo maçã pólen ñ poção água língüa')
It explicitly selects a range of unicode characters.
It will work for latin characters, but other strange characters may be out of this range.

If you are using Babel then Unicode support is already available.
I also released a plugin which transforms your source code such that you can write regular expressions like /^\p{L}+$/. These will then be transformed into something that browsers understand.
Here is the project page of the plugin:
babel-plugin-utf-8-regex

I'm answering this question
What would be the equivalent for \p{Lu} or \p{Ll} in regExp for js?
since it was marked as an exact duplicate of the current old question.
Querying the UCD Database of Unicode 12, \p{Lu} generates 1,788 code points.
Converting to UTF-16 yields the class construct equivalency.
It's only a 4k character string and is easily doable in any regex engines.
(?:[\u0041-\u005A\u00C0-\u00D6\u00D8-\u00DE\u0100\u0102\u0104\u0106\u0108\u010A\u010C\u010E\u0110\u0112\u0114\u0116\u0118\u011A\u011C\u011E\u0120\u0122\u0124\u0126\u0128\u012A\u012C\u012E\u0130\u0132\u0134\u0136\u0139\u013B\u013D\u013F\u0141\u0143\u0145\u0147\u014A\u014C\u014E\u0150\u0152\u0154\u0156\u0158\u015A\u015C\u015E\u0160\u0162\u0164\u0166\u0168\u016A\u016C\u016E\u0170\u0172\u0174\u0176\u0178-\u0179\u017B\u017D\u0181-\u0182\u0184\u0186-\u0187\u0189-\u018B\u018E-\u0191\u0193-\u0194\u0196-\u0198\u019C-\u019D\u019F-\u01A0\u01A2\u01A4\u01A6-\u01A7\u01A9\u01AC\u01AE-\u01AF\u01B1-\u01B3\u01B5\u01B7-\u01B8\u01BC\u01C4\u01C7\u01CA\u01CD\u01CF\u01D1\u01D3\u01D5\u01D7\u01D9\u01DB\u01DE\u01E0\u01E2\u01E4\u01E6\u01E8\u01EA\u01EC\u01EE\u01F1\u01F4\u01F6-\u01F8\u01FA\u01FC\u01FE\u0200\u0202\u0204\u0206\u0208\u020A\u020C\u020E\u0210\u0212\u0214\u0216\u0218\u021A\u021C\u021E\u0220\u0222\u0224\u0226\u0228\u022A\u022C\u022E\u0230\u0232\u023A-\u023B\u023D-\u023E\u0241\u0243-\u0246\u0248\u024A\u024C\u024E\u0370\u0372\u0376\u037F\u0386\u0388-\u038A\u038C\u038E-\u038F\u0391-\u03A1\u03A3-\u03AB\u03CF\u03D2-\u03D4\u03D8\u03DA\u03DC\u03DE\u03E0\u03E2\u03E4\u03E6\u03E8\u03EA\u03EC\u03EE\u03F4\u03F7\u03F9-\u03FA\u03FD-\u042F\u0460\u0462\u0464\u0466\u0468\u046A\u046C\u046E\u0470\u0472\u0474\u0476\u0478\u047A\u047C\u047E\u0480\u048A\u048C\u048E\u0490\u0492\u0494\u0496\u0498\u049A\u049C\u049E\u04A0\u04A2\u04A4\u04A6\u04A8\u04AA\u04AC\u04AE\u04B0\u04B2\u04B4\u04B6\u04B8\u04BA\u04BC\u04BE\u04C0-\u04C1\u04C3\u04C5\u04C7\u04C9\u04CB\u04CD\u04D0\u04D2\u04D4\u04D6\u04D8\u04DA\u04DC\u04DE\u04E0\u04E2\u04E4\u04E6\u04E8\u04EA\u04EC\u04EE\u04F0\u04F2\u04F4\u04F6\u04F8\u04FA\u04FC\u04FE\u0500\u0502\u0504\u0506\u0508\u050A\u050C\u050E\u0510\u0512\u0514\u0516\u0518\u051A\u051C\u051E\u0520\u0522\u0524\u0526\u0528\u052A\u052C\u052E\u0531-\u0556\u10A0-\u10C5\u10C7\u10CD\u13A0-\u13F5\u1C90-\u1CBA\u1CBD-\u1CBF\u1E00\u1E02\u1E04\u1E06\u1E08\u1E0A\u1E0C\u1E0E\u1E10\u1E12\u1E14\u1E16\u1E18\u1E1A\u1E1C\u1E1E\u1E20\u1E22\u1E24\u1E26\u1E28\u1E2A\u1E2C\u1E2E\u1E30\u1E32\u1E34\u1E36\u1E38\u1E3A\u1E3C\u1E3E\u1E40\u1E42\u1E44\u1E46\u1E48\u1E4A\u1E4C\u1E4E\u1E50\u1E52\u1E54\u1E56\u1E58\u1E5A\u1E5C\u1E5E\u1E60\u1E62\u1E64\u1E66\u1E68\u1E6A\u1E6C\u1E6E\u1E70\u1E72\u1E74\u1E76\u1E78\u1E7A\u1E7C\u1E7E\u1E80\u1E82\u1E84\u1E86\u1E88\u1E8A\u1E8C\u1E8E\u1E90\u1E92\u1E94\u1E9E\u1EA0\u1EA2\u1EA4\u1EA6\u1EA8\u1EAA\u1EAC\u1EAE\u1EB0\u1EB2\u1EB4\u1EB6\u1EB8\u1EBA\u1EBC\u1EBE\u1EC0\u1EC2\u1EC4\u1EC6\u1EC8\u1ECA\u1ECC\u1ECE\u1ED0\u1ED2\u1ED4\u1ED6\u1ED8\u1EDA\u1EDC\u1EDE\u1EE0\u1EE2\u1EE4\u1EE6\u1EE8\u1EEA\u1EEC\u1EEE\u1EF0\u1EF2\u1EF4\u1EF6\u1EF8\u1EFA\u1EFC\u1EFE\u1F08-\u1F0F\u1F18-\u1F1D\u1F28-\u1F2F\u1F38-\u1F3F\u1F48-\u1F4D\u1F59\u1F5B\u1F5D\u1F5F\u1F68-\u1F6F\u1FB8-\u1FBB\u1FC8-\u1FCB\u1FD8-\u1FDB\u1FE8-\u1FEC\u1FF8-\u1FFB\u2102\u2107\u210B-\u210D\u2110-\u2112\u2115\u2119-\u211D\u2124\u2126\u2128\u212A-\u212D\u2130-\u2133\u213E-\u213F\u2145\u2183\u2C00-\u2C2E\u2C60\u2C62-\u2C64\u2C67\u2C69\u2C6B\u2C6D-\u2C70\u2C72\u2C75\u2C7E-\u2C80\u2C82\u2C84\u2C86\u2C88\u2C8A\u2C8C\u2C8E\u2C90\u2C92\u2C94\u2C96\u2C98\u2C9A\u2C9C\u2C9E\u2CA0\u2CA2\u2CA4\u2CA6\u2CA8\u2CAA\u2CAC\u2CAE\u2CB0\u2CB2\u2CB4\u2CB6\u2CB8\u2CBA\u2CBC\u2CBE\u2CC0\u2CC2\u2CC4\u2CC6\u2CC8\u2CCA\u2CCC\u2CCE\u2CD0\u2CD2\u2CD4\u2CD6\u2CD8\u2CDA\u2CDC\u2CDE\u2CE0\u2CE2\u2CEB\u2CED\u2CF2\uA640\uA642\uA644\uA646\uA648\uA64A\uA64C\uA64E\uA650\uA652\uA654\uA656\uA658\uA65A\uA65C\uA65E\uA660\uA662\uA664\uA666\uA668\uA66A\uA66C\uA680\uA682\uA684\uA686\uA688\uA68A\uA68C\uA68E\uA690\uA692\uA694\uA696\uA698\uA69A\uA722\uA724\uA726\uA728\uA72A\uA72C\uA72E\uA732\uA734\uA736\uA738\uA73A\uA73C\uA73E\uA740\uA742\uA744\uA746\uA748\uA74A\uA74C\uA74E\uA750\uA752\uA754\uA756\uA758\uA75A\uA75C\uA75E\uA760\uA762\uA764\uA766\uA768\uA76A\uA76C\uA76E\uA779\uA77B\uA77D-\uA77E\uA780\uA782\uA784\uA786\uA78B\uA78D\uA790\uA792\uA796\uA798\uA79A\uA79C\uA79E\uA7A0\uA7A2\uA7A4\uA7A6\uA7A8\uA7AA-\uA7AE\uA7B0-\uA7B4\uA7B6\uA7B8\uA7BA\uA7BC\uA7BE\uA7C2\uA7C4-\uA7C6\uFF21-\uFF3A]|(?:\uD801[\uDC00-\uDC27\uDCB0-\uDCD3]|\uD803[\uDC80-\uDCB2]|\uD806[\uDCA0-\uDCBF]|\uD81B[\uDE40-\uDE5F]|\uD835[\uDC00-\uDC19\uDC34-\uDC4D\uDC68-\uDC81\uDC9C\uDC9E-\uDC9F\uDCA2\uDCA5-\uDCA6\uDCA9-\uDCAC\uDCAE-\uDCB5\uDCD0-\uDCE9\uDD04-\uDD05\uDD07-\uDD0A\uDD0D-\uDD14\uDD16-\uDD1C\uDD38-\uDD39\uDD3B-\uDD3E\uDD40-\uDD44\uDD46\uDD4A-\uDD50\uDD6C-\uDD85\uDDA0-\uDDB9\uDDD4-\uDDED\uDE08-\uDE21\uDE3C-\uDE55\uDE70-\uDE89\uDEA8-\uDEC0\uDEE2-\uDEFA\uDF1C-\uDF34\uDF56-\uDF6E\uDF90-\uDFA8\uDFCA]|\uD83A[\uDD00-\uDD21]))
Querying the UCD database of Unicode 12, \p{Ll} generates 2,151 code points.
Converting to UTF-16 yields the class construct equivalency.
(?:[\u0061-\u007A\u00B5\u00DF-\u00F6\u00F8-\u00FF\u0101\u0103\u0105\u0107\u0109\u010B\u010D\u010F\u0111\u0113\u0115\u0117\u0119\u011B\u011D\u011F\u0121\u0123\u0125\u0127\u0129\u012B\u012D\u012F\u0131\u0133\u0135\u0137-\u0138\u013A\u013C\u013E\u0140\u0142\u0144\u0146\u0148-\u0149\u014B\u014D\u014F\u0151\u0153\u0155\u0157\u0159\u015B\u015D\u015F\u0161\u0163\u0165\u0167\u0169\u016B\u016D\u016F\u0171\u0173\u0175\u0177\u017A\u017C\u017E-\u0180\u0183\u0185\u0188\u018C-\u018D\u0192\u0195\u0199-\u019B\u019E\u01A1\u01A3\u01A5\u01A8\u01AA-\u01AB\u01AD\u01B0\u01B4\u01B6\u01B9-\u01BA\u01BD-\u01BF\u01C6\u01C9\u01CC\u01CE\u01D0\u01D2\u01D4\u01D6\u01D8\u01DA\u01DC-\u01DD\u01DF\u01E1\u01E3\u01E5\u01E7\u01E9\u01EB\u01ED\u01EF-\u01F0\u01F3\u01F5\u01F9\u01FB\u01FD\u01FF\u0201\u0203\u0205\u0207\u0209\u020B\u020D\u020F\u0211\u0213\u0215\u0217\u0219\u021B\u021D\u021F\u0221\u0223\u0225\u0227\u0229\u022B\u022D\u022F\u0231\u0233-\u0239\u023C\u023F-\u0240\u0242\u0247\u0249\u024B\u024D\u024F-\u0293\u0295-\u02AF\u0371\u0373\u0377\u037B-\u037D\u0390\u03AC-\u03CE\u03D0-\u03D1\u03D5-\u03D7\u03D9\u03DB\u03DD\u03DF\u03E1\u03E3\u03E5\u03E7\u03E9\u03EB\u03ED\u03EF-\u03F3\u03F5\u03F8\u03FB-\u03FC\u0430-\u045F\u0461\u0463\u0465\u0467\u0469\u046B\u046D\u046F\u0471\u0473\u0475\u0477\u0479\u047B\u047D\u047F\u0481\u048B\u048D\u048F\u0491\u0493\u0495\u0497\u0499\u049B\u049D\u049F\u04A1\u04A3\u04A5\u04A7\u04A9\u04AB\u04AD\u04AF\u04B1\u04B3\u04B5\u04B7\u04B9\u04BB\u04BD\u04BF\u04C2\u04C4\u04C6\u04C8\u04CA\u04CC\u04CE-\u04CF\u04D1\u04D3\u04D5\u04D7\u04D9\u04DB\u04DD\u04DF\u04E1\u04E3\u04E5\u04E7\u04E9\u04EB\u04ED\u04EF\u04F1\u04F3\u04F5\u04F7\u04F9\u04FB\u04FD\u04FF\u0501\u0503\u0505\u0507\u0509\u050B\u050D\u050F\u0511\u0513\u0515\u0517\u0519\u051B\u051D\u051F\u0521\u0523\u0525\u0527\u0529\u052B\u052D\u052F\u0560-\u0588\u10D0-\u10FA\u10FD-\u10FF\u13F8-\u13FD\u1C80-\u1C88\u1D00-\u1D2B\u1D6B-\u1D77\u1D79-\u1D9A\u1E01\u1E03\u1E05\u1E07\u1E09\u1E0B\u1E0D\u1E0F\u1E11\u1E13\u1E15\u1E17\u1E19\u1E1B\u1E1D\u1E1F\u1E21\u1E23\u1E25\u1E27\u1E29\u1E2B\u1E2D\u1E2F\u1E31\u1E33\u1E35\u1E37\u1E39\u1E3B\u1E3D\u1E3F\u1E41\u1E43\u1E45\u1E47\u1E49\u1E4B\u1E4D\u1E4F\u1E51\u1E53\u1E55\u1E57\u1E59\u1E5B\u1E5D\u1E5F\u1E61\u1E63\u1E65\u1E67\u1E69\u1E6B\u1E6D\u1E6F\u1E71\u1E73\u1E75\u1E77\u1E79\u1E7B\u1E7D\u1E7F\u1E81\u1E83\u1E85\u1E87\u1E89\u1E8B\u1E8D\u1E8F\u1E91\u1E93\u1E95-\u1E9D\u1E9F\u1EA1\u1EA3\u1EA5\u1EA7\u1EA9\u1EAB\u1EAD\u1EAF\u1EB1\u1EB3\u1EB5\u1EB7\u1EB9\u1EBB\u1EBD\u1EBF\u1EC1\u1EC3\u1EC5\u1EC7\u1EC9\u1ECB\u1ECD\u1ECF\u1ED1\u1ED3\u1ED5\u1ED7\u1ED9\u1EDB\u1EDD\u1EDF\u1EE1\u1EE3\u1EE5\u1EE7\u1EE9\u1EEB\u1EED\u1EEF\u1EF1\u1EF3\u1EF5\u1EF7\u1EF9\u1EFB\u1EFD\u1EFF-\u1F07\u1F10-\u1F15\u1F20-\u1F27\u1F30-\u1F37\u1F40-\u1F45\u1F50-\u1F57\u1F60-\u1F67\u1F70-\u1F7D\u1F80-\u1F87\u1F90-\u1F97\u1FA0-\u1FA7\u1FB0-\u1FB4\u1FB6-\u1FB7\u1FBE\u1FC2-\u1FC4\u1FC6-\u1FC7\u1FD0-\u1FD3\u1FD6-\u1FD7\u1FE0-\u1FE7\u1FF2-\u1FF4\u1FF6-\u1FF7\u210A\u210E-\u210F\u2113\u212F\u2134\u2139\u213C-\u213D\u2146-\u2149\u214E\u2184\u2C30-\u2C5E\u2C61\u2C65-\u2C66\u2C68\u2C6A\u2C6C\u2C71\u2C73-\u2C74\u2C76-\u2C7B\u2C81\u2C83\u2C85\u2C87\u2C89\u2C8B\u2C8D\u2C8F\u2C91\u2C93\u2C95\u2C97\u2C99\u2C9B\u2C9D\u2C9F\u2CA1\u2CA3\u2CA5\u2CA7\u2CA9\u2CAB\u2CAD\u2CAF\u2CB1\u2CB3\u2CB5\u2CB7\u2CB9\u2CBB\u2CBD\u2CBF\u2CC1\u2CC3\u2CC5\u2CC7\u2CC9\u2CCB\u2CCD\u2CCF\u2CD1\u2CD3\u2CD5\u2CD7\u2CD9\u2CDB\u2CDD\u2CDF\u2CE1\u2CE3-\u2CE4\u2CEC\u2CEE\u2CF3\u2D00-\u2D25\u2D27\u2D2D\uA641\uA643\uA645\uA647\uA649\uA64B\uA64D\uA64F\uA651\uA653\uA655\uA657\uA659\uA65B\uA65D\uA65F\uA661\uA663\uA665\uA667\uA669\uA66B\uA66D\uA681\uA683\uA685\uA687\uA689\uA68B\uA68D\uA68F\uA691\uA693\uA695\uA697\uA699\uA69B\uA723\uA725\uA727\uA729\uA72B\uA72D\uA72F-\uA731\uA733\uA735\uA737\uA739\uA73B\uA73D\uA73F\uA741\uA743\uA745\uA747\uA749\uA74B\uA74D\uA74F\uA751\uA753\uA755\uA757\uA759\uA75B\uA75D\uA75F\uA761\uA763\uA765\uA767\uA769\uA76B\uA76D\uA76F\uA771-\uA778\uA77A\uA77C\uA77F\uA781\uA783\uA785\uA787\uA78C\uA78E\uA791\uA793-\uA795\uA797\uA799\uA79B\uA79D\uA79F\uA7A1\uA7A3\uA7A5\uA7A7\uA7A9\uA7AF\uA7B5\uA7B7\uA7B9\uA7BB\uA7BD\uA7BF\uA7C3\uA7FA\uAB30-\uAB5A\uAB60-\uAB67\uAB70-\uABBF\uFB00-\uFB06\uFB13-\uFB17\uFF41-\uFF5A]|(?:\uD801[\uDC28-\uDC4F\uDCD8-\uDCFB]|\uD803[\uDCC0-\uDCF2]|\uD806[\uDCC0-\uDCDF]|\uD81B[\uDE60-\uDE7F]|\uD835[\uDC1A-\uDC33\uDC4E-\uDC54\uDC56-\uDC67\uDC82-\uDC9B\uDCB6-\uDCB9\uDCBB\uDCBD-\uDCC3\uDCC5-\uDCCF\uDCEA-\uDD03\uDD1E-\uDD37\uDD52-\uDD6B\uDD86-\uDD9F\uDDBA-\uDDD3\uDDEE-\uDE07\uDE22-\uDE3B\uDE56-\uDE6F\uDE8A-\uDEA5\uDEC2-\uDEDA\uDEDC-\uDEE1\uDEFC-\uDF14\uDF16-\uDF1B\uDF36-\uDF4E\uDF50-\uDF55\uDF70-\uDF88\uDF8A-\uDF8F\uDFAA-\uDFC2\uDFC4-\uDFC9\uDFCB]|\uD83A[\uDD22-\uDD43]))
Note that a regex implementation of \p{Lu} or \p{Pl} actually calls a
non standard function to test the value.
The character classes shown here are done differently and are linear, standard
and pretty slow, when jammed into mostly a single class.
Some insight on how a Regex engine (in general) implements Unicode Property Classes:
Examine these performance characteristics between the property
and the class block (like above)
Regex1: LONG CLASS
< none >
Completed iterations: 50 / 50 ( x 1 )
Matches found per iteration: 1788
Elapsed Time: 0.73 s, 727.58 ms, 727584 µs
Matches per sec: 122,872
Regex2: \p{Lu}
Options: < ICU - none >
Completed iterations: 50 / 50 ( x 1 )
Matches found per iteration: 1788
Elapsed Time: 0.07 s, 65.32 ms, 65323 µs
Matches per sec: 1,368,583
Wow what a difference !!
Lets see how Properties might be implemented
Array of Pointers [ 10FFFF ] where each index is is a Code Point
Each pointer in the Array is to a structure of classification.
A Classification structure contains fixed field elemets.
Some are NULL and do not pertain.
Some contain category classifications.
Example : General Category
This is a bitmapped element that uses 17 out of 64 bits.
Whatever this Code Point supports has bit(s) set as a mask.
-Close_Punctuation
-Connector_Punctuation
-Control
-Currency_Symbol
-Dash_Punctuation
-Decimal_Number
-Enclosing_Mark
-Final_Punctuation
-Format
-Initial_Punctuation
-Letter_Number
-Line_Separator
-Lowercase_Letter
-Math_Symbol
-Modifier_Letter
-Modifier_Symbol
-Nonspacing_Mark
-Open_Punctuation
-Other_Letter
-Other_Number
-Other_Punctuation
-Other_Symbol
-Paragraph_Separator
-Private_Use
-Space_Separator
-Spacing_Mark
-Surrogate
-Titlecase_Letter
-Unassigned
-Uppercase_Letter
When a regex is parsed with something like this \p{Lu} it
is translated directly into
Classification Structure element offset : General Category
A check of that element for bit item : Uppercase_Letter
Another example, when a regex is parsed with punctuation property \p{P} it
is translated into
Classification Structure element offset : General Category
A check of that element for any of these items bits, which are joined into a mask :
-Close_Punctuation
-Connector_Punctuation
-Dash_Punctuation
-Final_Punctuation
-Initial_Punctuation
-Open_Punctuation
-Other_Punctuation
The offset and bit or bit(mask) are stored as a regex step for that property.
The lookup table is created once for all Unicode Code Points using this array.
When a character is checked, it is as simple as using the CP as an index into
this array and checking the Classification Structure's specific element for that bit(mask).
This structure is expandable and indirect to provide much more complex look ups. This is just a simple example.
Compare that direct lookup with a character class search :
All classes are a linear list of items searched from left to right.
In this comparison, given our target string contains only the complete
Upper Case Unicode Letters only, the law of averages would predict that
half of the items in the class would have to be ranged checked
to find a match.
This is a huge disadvantage in performance.
However, if the lookup tables are not there or are not up to date
with the latest Unicode release (12 as of this date)
then this would be the only way.
In fact, it is mostly the only way to get the complete Emoji
characters as there is no specific property (or reasoning) to their assignment.

You can also use:
function myFunction() {
var str = "xq234";
var allowChars = "^[a-zA-ZÀ-ÿ]+$";
var res = str.match(allowChars);
if(!str.match(allowChars)){
res="true";
}
else {
res="false";
}
document.getElementById("demo").innerHTML = res;

Related

Regular expression using unicode flag failing in IE and FF [duplicate]

There should be something akin to \w that can match any code-point in Letters or Marks category (not just the ASCII ones), and hopefully have filters like [[P*]] for punctuation, etc.

Personally, I would rather not install another library just to get this functionality. My answer does not require any external libraries, and it may also work with little modification for regex flavors besides JavaScript.
Unicode's website provides a way to translate Unicode categories into a set of code points. Since it's Unicode's website, the information from it should be accurate.
Note that you will need to exclude the high-end characters, as JavaScript can only handle characters less than FFFF (hex). I suggest checking the Abbreviate Collate, and Escape check boxes, which strike a balance between avoiding unprintable characters and minimizing the size of the regex.
Here are some common expansions of different Unicode properties:
\p{L} (Letters):
[A-Za-z\u00AA\u00B5\u00BA\u00C0-\u00D6\u00D8-\u00F6\u00F8-\u02C1\u02C6-\u02D1\u02E0-\u02E4\u02EC\u02EE\u0370-\u0374\u0376\u0377\u037A-\u037D\u037F\u0386\u0388-\u038A\u038C\u038E-\u03A1\u03A3-\u03F5\u03F7-\u0481\u048A-\u052F\u0531-\u0556\u0559\u0561-\u0587\u05D0-\u05EA\u05F0-\u05F2\u0620-\u064A\u066E\u066F\u0671-\u06D3\u06D5\u06E5\u06E6\u06EE\u06EF\u06FA-\u06FC\u06FF\u0710\u0712-\u072F\u074D-\u07A5\u07B1\u07CA-\u07EA\u07F4\u07F5\u07FA\u0800-\u0815\u081A\u0824\u0828\u0840-\u0858\u08A0-\u08B4\u0904-\u0939\u093D\u0950\u0958-\u0961\u0971-\u0980\u0985-\u098C\u098F\u0990\u0993-\u09A8\u09AA-\u09B0\u09B2\u09B6-\u09B9\u09BD\u09CE\u09DC\u09DD\u09DF-\u09E1\u09F0\u09F1\u0A05-\u0A0A\u0A0F\u0A10\u0A13-\u0A28\u0A2A-\u0A30\u0A32\u0A33\u0A35\u0A36\u0A38\u0A39\u0A59-\u0A5C\u0A5E\u0A72-\u0A74\u0A85-\u0A8D\u0A8F-\u0A91\u0A93-\u0AA8\u0AAA-\u0AB0\u0AB2\u0AB3\u0AB5-\u0AB9\u0ABD\u0AD0\u0AE0\u0AE1\u0AF9\u0B05-\u0B0C\u0B0F\u0B10\u0B13-\u0B28\u0B2A-\u0B30\u0B32\u0B33\u0B35-\u0B39\u0B3D\u0B5C\u0B5D\u0B5F-\u0B61\u0B71\u0B83\u0B85-\u0B8A\u0B8E-\u0B90\u0B92-\u0B95\u0B99\u0B9A\u0B9C\u0B9E\u0B9F\u0BA3\u0BA4\u0BA8-\u0BAA\u0BAE-\u0BB9\u0BD0\u0C05-\u0C0C\u0C0E-\u0C10\u0C12-\u0C28\u0C2A-\u0C39\u0C3D\u0C58-\u0C5A\u0C60\u0C61\u0C85-\u0C8C\u0C8E-\u0C90\u0C92-\u0CA8\u0CAA-\u0CB3\u0CB5-\u0CB9\u0CBD\u0CDE\u0CE0\u0CE1\u0CF1\u0CF2\u0D05-\u0D0C\u0D0E-\u0D10\u0D12-\u0D3A\u0D3D\u0D4E\u0D5F-\u0D61\u0D7A-\u0D7F\u0D85-\u0D96\u0D9A-\u0DB1\u0DB3-\u0DBB\u0DBD\u0DC0-\u0DC6\u0E01-\u0E30\u0E32\u0E33\u0E40-\u0E46\u0E81\u0E82\u0E84\u0E87\u0E88\u0E8A\u0E8D\u0E94-\u0E97\u0E99-\u0E9F\u0EA1-\u0EA3\u0EA5\u0EA7\u0EAA\u0EAB\u0EAD-\u0EB0\u0EB2\u0EB3\u0EBD\u0EC0-\u0EC4\u0EC6\u0EDC-\u0EDF\u0F00\u0F40-\u0F47\u0F49-\u0F6C\u0F88-\u0F8C\u1000-\u102A\u103F\u1050-\u1055\u105A-\u105D\u1061\u1065\u1066\u106E-\u1070\u1075-\u1081\u108E\u10A0-\u10C5\u10C7\u10CD\u10D0-\u10FA\u10FC-\u1248\u124A-\u124D\u1250-\u1256\u1258\u125A-\u125D\u1260-\u1288\u128A-\u128D\u1290-\u12B0\u12B2-\u12B5\u12B8-\u12BE\u12C0\u12C2-\u12C5\u12C8-\u12D6\u12D8-\u1310\u1312-\u1315\u1318-\u135A\u1380-\u138F\u13A0-\u13F5\u13F8-\u13FD\u1401-\u166C\u166F-\u167F\u1681-\u169A\u16A0-\u16EA\u16F1-\u16F8\u1700-\u170C\u170E-\u1711\u1720-\u1731\u1740-\u1751\u1760-\u176C\u176E-\u1770\u1780-\u17B3\u17D7\u17DC\u1820-\u1877\u1880-\u18A8\u18AA\u18B0-\u18F5\u1900-\u191E\u1950-\u196D\u1970-\u1974\u1980-\u19AB\u19B0-\u19C9\u1A00-\u1A16\u1A20-\u1A54\u1AA7\u1B05-\u1B33\u1B45-\u1B4B\u1B83-\u1BA0\u1BAE\u1BAF\u1BBA-\u1BE5\u1C00-\u1C23\u1C4D-\u1C4F\u1C5A-\u1C7D\u1CE9-\u1CEC\u1CEE-\u1CF1\u1CF5\u1CF6\u1D00-\u1DBF\u1E00-\u1F15\u1F18-\u1F1D\u1F20-\u1F45\u1F48-\u1F4D\u1F50-\u1F57\u1F59\u1F5B\u1F5D\u1F5F-\u1F7D\u1F80-\u1FB4\u1FB6-\u1FBC\u1FBE\u1FC2-\u1FC4\u1FC6-\u1FCC\u1FD0-\u1FD3\u1FD6-\u1FDB\u1FE0-\u1FEC\u1FF2-\u1FF4\u1FF6-\u1FFC\u2071\u207F\u2090-\u209C\u2102\u2107\u210A-\u2113\u2115\u2119-\u211D\u2124\u2126\u2128\u212A-\u212D\u212F-\u2139\u213C-\u213F\u2145-\u2149\u214E\u2183\u2184\u2C00-\u2C2E\u2C30-\u2C5E\u2C60-\u2CE4\u2CEB-\u2CEE\u2CF2\u2CF3\u2D00-\u2D25\u2D27\u2D2D\u2D30-\u2D67\u2D6F\u2D80-\u2D96\u2DA0-\u2DA6\u2DA8-\u2DAE\u2DB0-\u2DB6\u2DB8-\u2DBE\u2DC0-\u2DC6\u2DC8-\u2DCE\u2DD0-\u2DD6\u2DD8-\u2DDE\u2E2F\u3005\u3006\u3031-\u3035\u303B\u303C\u3041-\u3096\u309D-\u309F\u30A1-\u30FA\u30FC-\u30FF\u3105-\u312D\u3131-\u318E\u31A0-\u31BA\u31F0-\u31FF\u3400-\u4DB5\u4E00-\u9FD5\uA000-\uA48C\uA4D0-\uA4FD\uA500-\uA60C\uA610-\uA61F\uA62A\uA62B\uA640-\uA66E\uA67F-\uA69D\uA6A0-\uA6E5\uA717-\uA71F\uA722-\uA788\uA78B-\uA7AD\uA7B0-\uA7B7\uA7F7-\uA801\uA803-\uA805\uA807-\uA80A\uA80C-\uA822\uA840-\uA873\uA882-\uA8B3\uA8F2-\uA8F7\uA8FB\uA8FD\uA90A-\uA925\uA930-\uA946\uA960-\uA97C\uA984-\uA9B2\uA9CF\uA9E0-\uA9E4\uA9E6-\uA9EF\uA9FA-\uA9FE\uAA00-\uAA28\uAA40-\uAA42\uAA44-\uAA4B\uAA60-\uAA76\uAA7A\uAA7E-\uAAAF\uAAB1\uAAB5\uAAB6\uAAB9-\uAABD\uAAC0\uAAC2\uAADB-\uAADD\uAAE0-\uAAEA\uAAF2-\uAAF4\uAB01-\uAB06\uAB09-\uAB0E\uAB11-\uAB16\uAB20-\uAB26\uAB28-\uAB2E\uAB30-\uAB5A\uAB5C-\uAB65\uAB70-\uABE2\uAC00-\uD7A3\uD7B0-\uD7C6\uD7CB-\uD7FB\uF900-\uFA6D\uFA70-\uFAD9\uFB00-\uFB06\uFB13-\uFB17\uFB1D\uFB1F-\uFB28\uFB2A-\uFB36\uFB38-\uFB3C\uFB3E\uFB40\uFB41\uFB43\uFB44\uFB46-\uFBB1\uFBD3-\uFD3D\uFD50-\uFD8F\uFD92-\uFDC7\uFDF0-\uFDFB\uFE70-\uFE74\uFE76-\uFEFC\uFF21-\uFF3A\uFF41-\uFF5A\uFF66-\uFFBE\uFFC2-\uFFC7\uFFCA-\uFFCF\uFFD2-\uFFD7\uFFDA-\uFFDC]
\p{Nd} (Number decimal digits):
[0-9\u0660-\u0669\u06F0-\u06F9\u07C0-\u07C9\u0966-\u096F\u09E6-\u09EF\u0A66-\u0A6F\u0AE6-\u0AEF\u0B66-\u0B6F\u0BE6-\u0BEF\u0C66-\u0C6F\u0CE6-\u0CEF\u0D66-\u0D6F\u0DE6-\u0DEF\u0E50-\u0E59\u0ED0-\u0ED9\u0F20-\u0F29\u1040-\u1049\u1090-\u1099\u17E0-\u17E9\u1810-\u1819\u1946-\u194F\u19D0-\u19D9\u1A80-\u1A89\u1A90-\u1A99\u1B50-\u1B59\u1BB0-\u1BB9\u1C40-\u1C49\u1C50-\u1C59\uA620-\uA629\uA8D0-\uA8D9\uA900-\uA909\uA9D0-\uA9D9\uA9F0-\uA9F9\uAA50-\uAA59\uABF0-\uABF9\uFF10-\uFF19]
\p{P} (Punctuation):
[!-#%-*,-/\:;?#\[-\]_\{\}\u00A1\u00A7\u00AB\u00B6\u00B7\u00BB\u00BF\u037E\u0387\u055A-\u055F\u0589\u058A\u05BE\u05C0\u05C3\u05C6\u05F3\u05F4\u0609\u060A\u060C\u060D\u061B\u061E\u061F\u066A-\u066D\u06D4\u0700-\u070D\u07F7-\u07F9\u0830-\u083E\u085E\u0964\u0965\u0970\u0AF0\u0DF4\u0E4F\u0E5A\u0E5B\u0F04-\u0F12\u0F14\u0F3A-\u0F3D\u0F85\u0FD0-\u0FD4\u0FD9\u0FDA\u104A-\u104F\u10FB\u1360-\u1368\u1400\u166D\u166E\u169B\u169C\u16EB-\u16ED\u1735\u1736\u17D4-\u17D6\u17D8-\u17DA\u1800-\u180A\u1944\u1945\u1A1E\u1A1F\u1AA0-\u1AA6\u1AA8-\u1AAD\u1B5A-\u1B60\u1BFC-\u1BFF\u1C3B-\u1C3F\u1C7E\u1C7F\u1CC0-\u1CC7\u1CD3\u2010-\u2027\u2030-\u2043\u2045-\u2051\u2053-\u205E\u207D\u207E\u208D\u208E\u2308-\u230B\u2329\u232A\u2768-\u2775\u27C5\u27C6\u27E6-\u27EF\u2983-\u2998\u29D8-\u29DB\u29FC\u29FD\u2CF9-\u2CFC\u2CFE\u2CFF\u2D70\u2E00-\u2E2E\u2E30-\u2E42\u3001-\u3003\u3008-\u3011\u3014-\u301F\u3030\u303D\u30A0\u30FB\uA4FE\uA4FF\uA60D-\uA60F\uA673\uA67E\uA6F2-\uA6F7\uA874-\uA877\uA8CE\uA8CF\uA8F8-\uA8FA\uA8FC\uA92E\uA92F\uA95F\uA9C1-\uA9CD\uA9DE\uA9DF\uAA5C-\uAA5F\uAADE\uAADF\uAAF0\uAAF1\uABEB\uFD3E\uFD3F\uFE10-\uFE19\uFE30-\uFE52\uFE54-\uFE61\uFE63\uFE68\uFE6A\uFE6B\uFF01-\uFF03\uFF05-\uFF0A\uFF0C-\uFF0F\uFF1A\uFF1B\uFF1F\uFF20\uFF3B-\uFF3D\uFF3F\uFF5B\uFF5D\uFF5F-\uFF65]
The page also recognizes a number of obscure character classes, such as \p{Hira}, which is just the (Japanese) Hiragana characters:
[\u3041-\u3096\u309D-\u309F]
Lastly, it's possible to plug a char class with more than one Unicode property to get a shorter regex than you would get by just combining them (as long as certain settings are checked).

Having also not found a good solution, I wrote a small script a long time ago, by downloading data from the unicode specification (v.5.0.0) and generating intervals for each unicode category and subcategory in the BMP (lately replaced by a small Java program that uses its own native Unicode support).
Basically it converts \p{...} to a range of values, much like the output of the tool mentioned by Tomalak, but the intervals can end up quite large (since it's not dealing with blocks, but with characters scattered through many different places).
For instance, a Regex written like this:
var regex = unicode_hack(/\p{L}(\p{L}|\p{Nd})*/g);
Will be converted to something like this:
/[\u0041-\u005a\u0061-\u007a...]([...]|[\u0030-\u0039\u0660-\u0669...])*/g
Haven't used it a lot in practice, but it seems to work fine from my tests, so I'm posting here in case someone find it useful. Despite the length of the resulting regexes (the example above has 3591 characters when expanded), the performance seems to be acceptable (see the tests at jsFiddle; thanks to #modiX and #Lwangaman for the improvements).
Here's the source (raw, 27.5KB; minified, 24.9KB, not much better...). It might be made smaller by unescaping the unicode characters, but OTOH will run the risk of encoding issues, so I'm leaving as it is. Hopefully with ES6 this kind of thing won't be necessary anymore.
Update: this looks like the same strategy adopted in the XRegExp Unicode plug-in mentioned by Tim Down, except that in this case regular JavaScript regexes are being used.

September 2018 (updated February 2019)
It seems that regexp /\p{L}/u for match letters (as unicode categories)
works on Chrome 68.0.3440.106 and Safari 11.1.2 (13605.3.8)
NOT working on Firefox 65.0 :(
Here is a working example
In below field you should be able to to type letters but not numbers<br>
<input type="text" name="field" onkeydown="return /\p{L}/u.test(event.key)" >
I report this bug here.
Update
After over 2 years according to: 1500035 > 1361876 > 1634135 finally this bug is fixed and will be available in Firefox v.78+

[^\u0000-\u007F]+ for any characters which is not included ASCII characters.
For example:
function isNonLatinCharacters(s) {
return /[^\u0000-\u007F]/.test(s);
}
console.log(isNonLatinCharacters("身分"));// Japanese
console.log(isNonLatinCharacters("测试"));// Chinese
console.log(isNonLatinCharacters("حمید"));// Persian
console.log(isNonLatinCharacters("테스트"));// Korean
console.log(isNonLatinCharacters("परीक्षण"));// Hindi
console.log(isNonLatinCharacters("מִבְחָן"));// Hebrew
Here are some perfect references:
Unicode range RegExp generator
Unicode Regular Expressions
Unicode 10.0 Character Code Charts
Match Unicode Block Range

As mentioned in other answers, JavaScript regexes have no support for Unicode character classes. However, there is a library that does provide this: Steven Levithan's excellent XRegExp and its Unicode plug-in.

In JavaScript, \w and \d are ASCII, while \s is Unicode. Don't ask me why. JavaScript does support \p with Unicode categories, which you can use to emulate a Unicode-aware \w and \d.
For \d use \p{N} (numbers)
For \w use [\p{L}\p{N}\p{Pc}\p{M}] (letters, numbers, underscores, marks)
Update: Unfortunately, I was wrong about this. JavaScript does does not officially support \p either, though some implementations may still support this. The only Unicode support in JavaScript regexes is matching specific code points with \uFFFF. You can use those in ranges in character classes.

This will do it:
/[A-Za-z\u00C0-\u00FF ]+/.exec('hipopótamo maçã pólen ñ poção água língüa')
It explicitly selects a range of unicode characters.
It will work for latin characters, but other strange characters may be out of this range.

If you are using Babel then Unicode support is already available.
I also released a plugin which transforms your source code such that you can write regular expressions like /^\p{L}+$/. These will then be transformed into something that browsers understand.
Here is the project page of the plugin:
babel-plugin-utf-8-regex

I'm answering this question
What would be the equivalent for \p{Lu} or \p{Ll} in regExp for js?
since it was marked as an exact duplicate of the current old question.
Querying the UCD Database of Unicode 12, \p{Lu} generates 1,788 code points.
Converting to UTF-16 yields the class construct equivalency.
It's only a 4k character string and is easily doable in any regex engines.
(?:[\u0041-\u005A\u00C0-\u00D6\u00D8-\u00DE\u0100\u0102\u0104\u0106\u0108\u010A\u010C\u010E\u0110\u0112\u0114\u0116\u0118\u011A\u011C\u011E\u0120\u0122\u0124\u0126\u0128\u012A\u012C\u012E\u0130\u0132\u0134\u0136\u0139\u013B\u013D\u013F\u0141\u0143\u0145\u0147\u014A\u014C\u014E\u0150\u0152\u0154\u0156\u0158\u015A\u015C\u015E\u0160\u0162\u0164\u0166\u0168\u016A\u016C\u016E\u0170\u0172\u0174\u0176\u0178-\u0179\u017B\u017D\u0181-\u0182\u0184\u0186-\u0187\u0189-\u018B\u018E-\u0191\u0193-\u0194\u0196-\u0198\u019C-\u019D\u019F-\u01A0\u01A2\u01A4\u01A6-\u01A7\u01A9\u01AC\u01AE-\u01AF\u01B1-\u01B3\u01B5\u01B7-\u01B8\u01BC\u01C4\u01C7\u01CA\u01CD\u01CF\u01D1\u01D3\u01D5\u01D7\u01D9\u01DB\u01DE\u01E0\u01E2\u01E4\u01E6\u01E8\u01EA\u01EC\u01EE\u01F1\u01F4\u01F6-\u01F8\u01FA\u01FC\u01FE\u0200\u0202\u0204\u0206\u0208\u020A\u020C\u020E\u0210\u0212\u0214\u0216\u0218\u021A\u021C\u021E\u0220\u0222\u0224\u0226\u0228\u022A\u022C\u022E\u0230\u0232\u023A-\u023B\u023D-\u023E\u0241\u0243-\u0246\u0248\u024A\u024C\u024E\u0370\u0372\u0376\u037F\u0386\u0388-\u038A\u038C\u038E-\u038F\u0391-\u03A1\u03A3-\u03AB\u03CF\u03D2-\u03D4\u03D8\u03DA\u03DC\u03DE\u03E0\u03E2\u03E4\u03E6\u03E8\u03EA\u03EC\u03EE\u03F4\u03F7\u03F9-\u03FA\u03FD-\u042F\u0460\u0462\u0464\u0466\u0468\u046A\u046C\u046E\u0470\u0472\u0474\u0476\u0478\u047A\u047C\u047E\u0480\u048A\u048C\u048E\u0490\u0492\u0494\u0496\u0498\u049A\u049C\u049E\u04A0\u04A2\u04A4\u04A6\u04A8\u04AA\u04AC\u04AE\u04B0\u04B2\u04B4\u04B6\u04B8\u04BA\u04BC\u04BE\u04C0-\u04C1\u04C3\u04C5\u04C7\u04C9\u04CB\u04CD\u04D0\u04D2\u04D4\u04D6\u04D8\u04DA\u04DC\u04DE\u04E0\u04E2\u04E4\u04E6\u04E8\u04EA\u04EC\u04EE\u04F0\u04F2\u04F4\u04F6\u04F8\u04FA\u04FC\u04FE\u0500\u0502\u0504\u0506\u0508\u050A\u050C\u050E\u0510\u0512\u0514\u0516\u0518\u051A\u051C\u051E\u0520\u0522\u0524\u0526\u0528\u052A\u052C\u052E\u0531-\u0556\u10A0-\u10C5\u10C7\u10CD\u13A0-\u13F5\u1C90-\u1CBA\u1CBD-\u1CBF\u1E00\u1E02\u1E04\u1E06\u1E08\u1E0A\u1E0C\u1E0E\u1E10\u1E12\u1E14\u1E16\u1E18\u1E1A\u1E1C\u1E1E\u1E20\u1E22\u1E24\u1E26\u1E28\u1E2A\u1E2C\u1E2E\u1E30\u1E32\u1E34\u1E36\u1E38\u1E3A\u1E3C\u1E3E\u1E40\u1E42\u1E44\u1E46\u1E48\u1E4A\u1E4C\u1E4E\u1E50\u1E52\u1E54\u1E56\u1E58\u1E5A\u1E5C\u1E5E\u1E60\u1E62\u1E64\u1E66\u1E68\u1E6A\u1E6C\u1E6E\u1E70\u1E72\u1E74\u1E76\u1E78\u1E7A\u1E7C\u1E7E\u1E80\u1E82\u1E84\u1E86\u1E88\u1E8A\u1E8C\u1E8E\u1E90\u1E92\u1E94\u1E9E\u1EA0\u1EA2\u1EA4\u1EA6\u1EA8\u1EAA\u1EAC\u1EAE\u1EB0\u1EB2\u1EB4\u1EB6\u1EB8\u1EBA\u1EBC\u1EBE\u1EC0\u1EC2\u1EC4\u1EC6\u1EC8\u1ECA\u1ECC\u1ECE\u1ED0\u1ED2\u1ED4\u1ED6\u1ED8\u1EDA\u1EDC\u1EDE\u1EE0\u1EE2\u1EE4\u1EE6\u1EE8\u1EEA\u1EEC\u1EEE\u1EF0\u1EF2\u1EF4\u1EF6\u1EF8\u1EFA\u1EFC\u1EFE\u1F08-\u1F0F\u1F18-\u1F1D\u1F28-\u1F2F\u1F38-\u1F3F\u1F48-\u1F4D\u1F59\u1F5B\u1F5D\u1F5F\u1F68-\u1F6F\u1FB8-\u1FBB\u1FC8-\u1FCB\u1FD8-\u1FDB\u1FE8-\u1FEC\u1FF8-\u1FFB\u2102\u2107\u210B-\u210D\u2110-\u2112\u2115\u2119-\u211D\u2124\u2126\u2128\u212A-\u212D\u2130-\u2133\u213E-\u213F\u2145\u2183\u2C00-\u2C2E\u2C60\u2C62-\u2C64\u2C67\u2C69\u2C6B\u2C6D-\u2C70\u2C72\u2C75\u2C7E-\u2C80\u2C82\u2C84\u2C86\u2C88\u2C8A\u2C8C\u2C8E\u2C90\u2C92\u2C94\u2C96\u2C98\u2C9A\u2C9C\u2C9E\u2CA0\u2CA2\u2CA4\u2CA6\u2CA8\u2CAA\u2CAC\u2CAE\u2CB0\u2CB2\u2CB4\u2CB6\u2CB8\u2CBA\u2CBC\u2CBE\u2CC0\u2CC2\u2CC4\u2CC6\u2CC8\u2CCA\u2CCC\u2CCE\u2CD0\u2CD2\u2CD4\u2CD6\u2CD8\u2CDA\u2CDC\u2CDE\u2CE0\u2CE2\u2CEB\u2CED\u2CF2\uA640\uA642\uA644\uA646\uA648\uA64A\uA64C\uA64E\uA650\uA652\uA654\uA656\uA658\uA65A\uA65C\uA65E\uA660\uA662\uA664\uA666\uA668\uA66A\uA66C\uA680\uA682\uA684\uA686\uA688\uA68A\uA68C\uA68E\uA690\uA692\uA694\uA696\uA698\uA69A\uA722\uA724\uA726\uA728\uA72A\uA72C\uA72E\uA732\uA734\uA736\uA738\uA73A\uA73C\uA73E\uA740\uA742\uA744\uA746\uA748\uA74A\uA74C\uA74E\uA750\uA752\uA754\uA756\uA758\uA75A\uA75C\uA75E\uA760\uA762\uA764\uA766\uA768\uA76A\uA76C\uA76E\uA779\uA77B\uA77D-\uA77E\uA780\uA782\uA784\uA786\uA78B\uA78D\uA790\uA792\uA796\uA798\uA79A\uA79C\uA79E\uA7A0\uA7A2\uA7A4\uA7A6\uA7A8\uA7AA-\uA7AE\uA7B0-\uA7B4\uA7B6\uA7B8\uA7BA\uA7BC\uA7BE\uA7C2\uA7C4-\uA7C6\uFF21-\uFF3A]|(?:\uD801[\uDC00-\uDC27\uDCB0-\uDCD3]|\uD803[\uDC80-\uDCB2]|\uD806[\uDCA0-\uDCBF]|\uD81B[\uDE40-\uDE5F]|\uD835[\uDC00-\uDC19\uDC34-\uDC4D\uDC68-\uDC81\uDC9C\uDC9E-\uDC9F\uDCA2\uDCA5-\uDCA6\uDCA9-\uDCAC\uDCAE-\uDCB5\uDCD0-\uDCE9\uDD04-\uDD05\uDD07-\uDD0A\uDD0D-\uDD14\uDD16-\uDD1C\uDD38-\uDD39\uDD3B-\uDD3E\uDD40-\uDD44\uDD46\uDD4A-\uDD50\uDD6C-\uDD85\uDDA0-\uDDB9\uDDD4-\uDDED\uDE08-\uDE21\uDE3C-\uDE55\uDE70-\uDE89\uDEA8-\uDEC0\uDEE2-\uDEFA\uDF1C-\uDF34\uDF56-\uDF6E\uDF90-\uDFA8\uDFCA]|\uD83A[\uDD00-\uDD21]))
Querying the UCD database of Unicode 12, \p{Ll} generates 2,151 code points.
Converting to UTF-16 yields the class construct equivalency.
(?:[\u0061-\u007A\u00B5\u00DF-\u00F6\u00F8-\u00FF\u0101\u0103\u0105\u0107\u0109\u010B\u010D\u010F\u0111\u0113\u0115\u0117\u0119\u011B\u011D\u011F\u0121\u0123\u0125\u0127\u0129\u012B\u012D\u012F\u0131\u0133\u0135\u0137-\u0138\u013A\u013C\u013E\u0140\u0142\u0144\u0146\u0148-\u0149\u014B\u014D\u014F\u0151\u0153\u0155\u0157\u0159\u015B\u015D\u015F\u0161\u0163\u0165\u0167\u0169\u016B\u016D\u016F\u0171\u0173\u0175\u0177\u017A\u017C\u017E-\u0180\u0183\u0185\u0188\u018C-\u018D\u0192\u0195\u0199-\u019B\u019E\u01A1\u01A3\u01A5\u01A8\u01AA-\u01AB\u01AD\u01B0\u01B4\u01B6\u01B9-\u01BA\u01BD-\u01BF\u01C6\u01C9\u01CC\u01CE\u01D0\u01D2\u01D4\u01D6\u01D8\u01DA\u01DC-\u01DD\u01DF\u01E1\u01E3\u01E5\u01E7\u01E9\u01EB\u01ED\u01EF-\u01F0\u01F3\u01F5\u01F9\u01FB\u01FD\u01FF\u0201\u0203\u0205\u0207\u0209\u020B\u020D\u020F\u0211\u0213\u0215\u0217\u0219\u021B\u021D\u021F\u0221\u0223\u0225\u0227\u0229\u022B\u022D\u022F\u0231\u0233-\u0239\u023C\u023F-\u0240\u0242\u0247\u0249\u024B\u024D\u024F-\u0293\u0295-\u02AF\u0371\u0373\u0377\u037B-\u037D\u0390\u03AC-\u03CE\u03D0-\u03D1\u03D5-\u03D7\u03D9\u03DB\u03DD\u03DF\u03E1\u03E3\u03E5\u03E7\u03E9\u03EB\u03ED\u03EF-\u03F3\u03F5\u03F8\u03FB-\u03FC\u0430-\u045F\u0461\u0463\u0465\u0467\u0469\u046B\u046D\u046F\u0471\u0473\u0475\u0477\u0479\u047B\u047D\u047F\u0481\u048B\u048D\u048F\u0491\u0493\u0495\u0497\u0499\u049B\u049D\u049F\u04A1\u04A3\u04A5\u04A7\u04A9\u04AB\u04AD\u04AF\u04B1\u04B3\u04B5\u04B7\u04B9\u04BB\u04BD\u04BF\u04C2\u04C4\u04C6\u04C8\u04CA\u04CC\u04CE-\u04CF\u04D1\u04D3\u04D5\u04D7\u04D9\u04DB\u04DD\u04DF\u04E1\u04E3\u04E5\u04E7\u04E9\u04EB\u04ED\u04EF\u04F1\u04F3\u04F5\u04F7\u04F9\u04FB\u04FD\u04FF\u0501\u0503\u0505\u0507\u0509\u050B\u050D\u050F\u0511\u0513\u0515\u0517\u0519\u051B\u051D\u051F\u0521\u0523\u0525\u0527\u0529\u052B\u052D\u052F\u0560-\u0588\u10D0-\u10FA\u10FD-\u10FF\u13F8-\u13FD\u1C80-\u1C88\u1D00-\u1D2B\u1D6B-\u1D77\u1D79-\u1D9A\u1E01\u1E03\u1E05\u1E07\u1E09\u1E0B\u1E0D\u1E0F\u1E11\u1E13\u1E15\u1E17\u1E19\u1E1B\u1E1D\u1E1F\u1E21\u1E23\u1E25\u1E27\u1E29\u1E2B\u1E2D\u1E2F\u1E31\u1E33\u1E35\u1E37\u1E39\u1E3B\u1E3D\u1E3F\u1E41\u1E43\u1E45\u1E47\u1E49\u1E4B\u1E4D\u1E4F\u1E51\u1E53\u1E55\u1E57\u1E59\u1E5B\u1E5D\u1E5F\u1E61\u1E63\u1E65\u1E67\u1E69\u1E6B\u1E6D\u1E6F\u1E71\u1E73\u1E75\u1E77\u1E79\u1E7B\u1E7D\u1E7F\u1E81\u1E83\u1E85\u1E87\u1E89\u1E8B\u1E8D\u1E8F\u1E91\u1E93\u1E95-\u1E9D\u1E9F\u1EA1\u1EA3\u1EA5\u1EA7\u1EA9\u1EAB\u1EAD\u1EAF\u1EB1\u1EB3\u1EB5\u1EB7\u1EB9\u1EBB\u1EBD\u1EBF\u1EC1\u1EC3\u1EC5\u1EC7\u1EC9\u1ECB\u1ECD\u1ECF\u1ED1\u1ED3\u1ED5\u1ED7\u1ED9\u1EDB\u1EDD\u1EDF\u1EE1\u1EE3\u1EE5\u1EE7\u1EE9\u1EEB\u1EED\u1EEF\u1EF1\u1EF3\u1EF5\u1EF7\u1EF9\u1EFB\u1EFD\u1EFF-\u1F07\u1F10-\u1F15\u1F20-\u1F27\u1F30-\u1F37\u1F40-\u1F45\u1F50-\u1F57\u1F60-\u1F67\u1F70-\u1F7D\u1F80-\u1F87\u1F90-\u1F97\u1FA0-\u1FA7\u1FB0-\u1FB4\u1FB6-\u1FB7\u1FBE\u1FC2-\u1FC4\u1FC6-\u1FC7\u1FD0-\u1FD3\u1FD6-\u1FD7\u1FE0-\u1FE7\u1FF2-\u1FF4\u1FF6-\u1FF7\u210A\u210E-\u210F\u2113\u212F\u2134\u2139\u213C-\u213D\u2146-\u2149\u214E\u2184\u2C30-\u2C5E\u2C61\u2C65-\u2C66\u2C68\u2C6A\u2C6C\u2C71\u2C73-\u2C74\u2C76-\u2C7B\u2C81\u2C83\u2C85\u2C87\u2C89\u2C8B\u2C8D\u2C8F\u2C91\u2C93\u2C95\u2C97\u2C99\u2C9B\u2C9D\u2C9F\u2CA1\u2CA3\u2CA5\u2CA7\u2CA9\u2CAB\u2CAD\u2CAF\u2CB1\u2CB3\u2CB5\u2CB7\u2CB9\u2CBB\u2CBD\u2CBF\u2CC1\u2CC3\u2CC5\u2CC7\u2CC9\u2CCB\u2CCD\u2CCF\u2CD1\u2CD3\u2CD5\u2CD7\u2CD9\u2CDB\u2CDD\u2CDF\u2CE1\u2CE3-\u2CE4\u2CEC\u2CEE\u2CF3\u2D00-\u2D25\u2D27\u2D2D\uA641\uA643\uA645\uA647\uA649\uA64B\uA64D\uA64F\uA651\uA653\uA655\uA657\uA659\uA65B\uA65D\uA65F\uA661\uA663\uA665\uA667\uA669\uA66B\uA66D\uA681\uA683\uA685\uA687\uA689\uA68B\uA68D\uA68F\uA691\uA693\uA695\uA697\uA699\uA69B\uA723\uA725\uA727\uA729\uA72B\uA72D\uA72F-\uA731\uA733\uA735\uA737\uA739\uA73B\uA73D\uA73F\uA741\uA743\uA745\uA747\uA749\uA74B\uA74D\uA74F\uA751\uA753\uA755\uA757\uA759\uA75B\uA75D\uA75F\uA761\uA763\uA765\uA767\uA769\uA76B\uA76D\uA76F\uA771-\uA778\uA77A\uA77C\uA77F\uA781\uA783\uA785\uA787\uA78C\uA78E\uA791\uA793-\uA795\uA797\uA799\uA79B\uA79D\uA79F\uA7A1\uA7A3\uA7A5\uA7A7\uA7A9\uA7AF\uA7B5\uA7B7\uA7B9\uA7BB\uA7BD\uA7BF\uA7C3\uA7FA\uAB30-\uAB5A\uAB60-\uAB67\uAB70-\uABBF\uFB00-\uFB06\uFB13-\uFB17\uFF41-\uFF5A]|(?:\uD801[\uDC28-\uDC4F\uDCD8-\uDCFB]|\uD803[\uDCC0-\uDCF2]|\uD806[\uDCC0-\uDCDF]|\uD81B[\uDE60-\uDE7F]|\uD835[\uDC1A-\uDC33\uDC4E-\uDC54\uDC56-\uDC67\uDC82-\uDC9B\uDCB6-\uDCB9\uDCBB\uDCBD-\uDCC3\uDCC5-\uDCCF\uDCEA-\uDD03\uDD1E-\uDD37\uDD52-\uDD6B\uDD86-\uDD9F\uDDBA-\uDDD3\uDDEE-\uDE07\uDE22-\uDE3B\uDE56-\uDE6F\uDE8A-\uDEA5\uDEC2-\uDEDA\uDEDC-\uDEE1\uDEFC-\uDF14\uDF16-\uDF1B\uDF36-\uDF4E\uDF50-\uDF55\uDF70-\uDF88\uDF8A-\uDF8F\uDFAA-\uDFC2\uDFC4-\uDFC9\uDFCB]|\uD83A[\uDD22-\uDD43]))
Note that a regex implementation of \p{Lu} or \p{Pl} actually calls a
non standard function to test the value.
The character classes shown here are done differently and are linear, standard
and pretty slow, when jammed into mostly a single class.
Some insight on how a Regex engine (in general) implements Unicode Property Classes:
Examine these performance characteristics between the property
and the class block (like above)
Regex1: LONG CLASS
< none >
Completed iterations: 50 / 50 ( x 1 )
Matches found per iteration: 1788
Elapsed Time: 0.73 s, 727.58 ms, 727584 µs
Matches per sec: 122,872
Regex2: \p{Lu}
Options: < ICU - none >
Completed iterations: 50 / 50 ( x 1 )
Matches found per iteration: 1788
Elapsed Time: 0.07 s, 65.32 ms, 65323 µs
Matches per sec: 1,368,583
Wow what a difference !!
Lets see how Properties might be implemented
Array of Pointers [ 10FFFF ] where each index is is a Code Point
Each pointer in the Array is to a structure of classification.
A Classification structure contains fixed field elemets.
Some are NULL and do not pertain.
Some contain category classifications.
Example : General Category
This is a bitmapped element that uses 17 out of 64 bits.
Whatever this Code Point supports has bit(s) set as a mask.
-Close_Punctuation
-Connector_Punctuation
-Control
-Currency_Symbol
-Dash_Punctuation
-Decimal_Number
-Enclosing_Mark
-Final_Punctuation
-Format
-Initial_Punctuation
-Letter_Number
-Line_Separator
-Lowercase_Letter
-Math_Symbol
-Modifier_Letter
-Modifier_Symbol
-Nonspacing_Mark
-Open_Punctuation
-Other_Letter
-Other_Number
-Other_Punctuation
-Other_Symbol
-Paragraph_Separator
-Private_Use
-Space_Separator
-Spacing_Mark
-Surrogate
-Titlecase_Letter
-Unassigned
-Uppercase_Letter
When a regex is parsed with something like this \p{Lu} it
is translated directly into
Classification Structure element offset : General Category
A check of that element for bit item : Uppercase_Letter
Another example, when a regex is parsed with punctuation property \p{P} it
is translated into
Classification Structure element offset : General Category
A check of that element for any of these items bits, which are joined into a mask :
-Close_Punctuation
-Connector_Punctuation
-Dash_Punctuation
-Final_Punctuation
-Initial_Punctuation
-Open_Punctuation
-Other_Punctuation
The offset and bit or bit(mask) are stored as a regex step for that property.
The lookup table is created once for all Unicode Code Points using this array.
When a character is checked, it is as simple as using the CP as an index into
this array and checking the Classification Structure's specific element for that bit(mask).
This structure is expandable and indirect to provide much more complex look ups. This is just a simple example.
Compare that direct lookup with a character class search :
All classes are a linear list of items searched from left to right.
In this comparison, given our target string contains only the complete
Upper Case Unicode Letters only, the law of averages would predict that
half of the items in the class would have to be ranged checked
to find a match.
This is a huge disadvantage in performance.
However, if the lookup tables are not there or are not up to date
with the latest Unicode release (12 as of this date)
then this would be the only way.
In fact, it is mostly the only way to get the complete Emoji
characters as there is no specific property (or reasoning) to their assignment.

You can also use:
function myFunction() {
var str = "xq234";
var allowChars = "^[a-zA-ZÀ-ÿ]+$";
var res = str.match(allowChars);
if(!str.match(allowChars)){
res="true";
}
else {
res="false";
}
document.getElementById("demo").innerHTML = res;

How can I remove all non-alphabetical characters of any language in a string? [duplicate]

There should be something akin to \w that can match any code-point in Letters or Marks category (not just the ASCII ones), and hopefully have filters like [[P*]] for punctuation, etc.

Personally, I would rather not install another library just to get this functionality. My answer does not require any external libraries, and it may also work with little modification for regex flavors besides JavaScript.
Unicode's website provides a way to translate Unicode categories into a set of code points. Since it's Unicode's website, the information from it should be accurate.
Note that you will need to exclude the high-end characters, as JavaScript can only handle characters less than FFFF (hex). I suggest checking the Abbreviate Collate, and Escape check boxes, which strike a balance between avoiding unprintable characters and minimizing the size of the regex.
Here are some common expansions of different Unicode properties:
\p{L} (Letters):
[A-Za-z\u00AA\u00B5\u00BA\u00C0-\u00D6\u00D8-\u00F6\u00F8-\u02C1\u02C6-\u02D1\u02E0-\u02E4\u02EC\u02EE\u0370-\u0374\u0376\u0377\u037A-\u037D\u037F\u0386\u0388-\u038A\u038C\u038E-\u03A1\u03A3-\u03F5\u03F7-\u0481\u048A-\u052F\u0531-\u0556\u0559\u0561-\u0587\u05D0-\u05EA\u05F0-\u05F2\u0620-\u064A\u066E\u066F\u0671-\u06D3\u06D5\u06E5\u06E6\u06EE\u06EF\u06FA-\u06FC\u06FF\u0710\u0712-\u072F\u074D-\u07A5\u07B1\u07CA-\u07EA\u07F4\u07F5\u07FA\u0800-\u0815\u081A\u0824\u0828\u0840-\u0858\u08A0-\u08B4\u0904-\u0939\u093D\u0950\u0958-\u0961\u0971-\u0980\u0985-\u098C\u098F\u0990\u0993-\u09A8\u09AA-\u09B0\u09B2\u09B6-\u09B9\u09BD\u09CE\u09DC\u09DD\u09DF-\u09E1\u09F0\u09F1\u0A05-\u0A0A\u0A0F\u0A10\u0A13-\u0A28\u0A2A-\u0A30\u0A32\u0A33\u0A35\u0A36\u0A38\u0A39\u0A59-\u0A5C\u0A5E\u0A72-\u0A74\u0A85-\u0A8D\u0A8F-\u0A91\u0A93-\u0AA8\u0AAA-\u0AB0\u0AB2\u0AB3\u0AB5-\u0AB9\u0ABD\u0AD0\u0AE0\u0AE1\u0AF9\u0B05-\u0B0C\u0B0F\u0B10\u0B13-\u0B28\u0B2A-\u0B30\u0B32\u0B33\u0B35-\u0B39\u0B3D\u0B5C\u0B5D\u0B5F-\u0B61\u0B71\u0B83\u0B85-\u0B8A\u0B8E-\u0B90\u0B92-\u0B95\u0B99\u0B9A\u0B9C\u0B9E\u0B9F\u0BA3\u0BA4\u0BA8-\u0BAA\u0BAE-\u0BB9\u0BD0\u0C05-\u0C0C\u0C0E-\u0C10\u0C12-\u0C28\u0C2A-\u0C39\u0C3D\u0C58-\u0C5A\u0C60\u0C61\u0C85-\u0C8C\u0C8E-\u0C90\u0C92-\u0CA8\u0CAA-\u0CB3\u0CB5-\u0CB9\u0CBD\u0CDE\u0CE0\u0CE1\u0CF1\u0CF2\u0D05-\u0D0C\u0D0E-\u0D10\u0D12-\u0D3A\u0D3D\u0D4E\u0D5F-\u0D61\u0D7A-\u0D7F\u0D85-\u0D96\u0D9A-\u0DB1\u0DB3-\u0DBB\u0DBD\u0DC0-\u0DC6\u0E01-\u0E30\u0E32\u0E33\u0E40-\u0E46\u0E81\u0E82\u0E84\u0E87\u0E88\u0E8A\u0E8D\u0E94-\u0E97\u0E99-\u0E9F\u0EA1-\u0EA3\u0EA5\u0EA7\u0EAA\u0EAB\u0EAD-\u0EB0\u0EB2\u0EB3\u0EBD\u0EC0-\u0EC4\u0EC6\u0EDC-\u0EDF\u0F00\u0F40-\u0F47\u0F49-\u0F6C\u0F88-\u0F8C\u1000-\u102A\u103F\u1050-\u1055\u105A-\u105D\u1061\u1065\u1066\u106E-\u1070\u1075-\u1081\u108E\u10A0-\u10C5\u10C7\u10CD\u10D0-\u10FA\u10FC-\u1248\u124A-\u124D\u1250-\u1256\u1258\u125A-\u125D\u1260-\u1288\u128A-\u128D\u1290-\u12B0\u12B2-\u12B5\u12B8-\u12BE\u12C0\u12C2-\u12C5\u12C8-\u12D6\u12D8-\u1310\u1312-\u1315\u1318-\u135A\u1380-\u138F\u13A0-\u13F5\u13F8-\u13FD\u1401-\u166C\u166F-\u167F\u1681-\u169A\u16A0-\u16EA\u16F1-\u16F8\u1700-\u170C\u170E-\u1711\u1720-\u1731\u1740-\u1751\u1760-\u176C\u176E-\u1770\u1780-\u17B3\u17D7\u17DC\u1820-\u1877\u1880-\u18A8\u18AA\u18B0-\u18F5\u1900-\u191E\u1950-\u196D\u1970-\u1974\u1980-\u19AB\u19B0-\u19C9\u1A00-\u1A16\u1A20-\u1A54\u1AA7\u1B05-\u1B33\u1B45-\u1B4B\u1B83-\u1BA0\u1BAE\u1BAF\u1BBA-\u1BE5\u1C00-\u1C23\u1C4D-\u1C4F\u1C5A-\u1C7D\u1CE9-\u1CEC\u1CEE-\u1CF1\u1CF5\u1CF6\u1D00-\u1DBF\u1E00-\u1F15\u1F18-\u1F1D\u1F20-\u1F45\u1F48-\u1F4D\u1F50-\u1F57\u1F59\u1F5B\u1F5D\u1F5F-\u1F7D\u1F80-\u1FB4\u1FB6-\u1FBC\u1FBE\u1FC2-\u1FC4\u1FC6-\u1FCC\u1FD0-\u1FD3\u1FD6-\u1FDB\u1FE0-\u1FEC\u1FF2-\u1FF4\u1FF6-\u1FFC\u2071\u207F\u2090-\u209C\u2102\u2107\u210A-\u2113\u2115\u2119-\u211D\u2124\u2126\u2128\u212A-\u212D\u212F-\u2139\u213C-\u213F\u2145-\u2149\u214E\u2183\u2184\u2C00-\u2C2E\u2C30-\u2C5E\u2C60-\u2CE4\u2CEB-\u2CEE\u2CF2\u2CF3\u2D00-\u2D25\u2D27\u2D2D\u2D30-\u2D67\u2D6F\u2D80-\u2D96\u2DA0-\u2DA6\u2DA8-\u2DAE\u2DB0-\u2DB6\u2DB8-\u2DBE\u2DC0-\u2DC6\u2DC8-\u2DCE\u2DD0-\u2DD6\u2DD8-\u2DDE\u2E2F\u3005\u3006\u3031-\u3035\u303B\u303C\u3041-\u3096\u309D-\u309F\u30A1-\u30FA\u30FC-\u30FF\u3105-\u312D\u3131-\u318E\u31A0-\u31BA\u31F0-\u31FF\u3400-\u4DB5\u4E00-\u9FD5\uA000-\uA48C\uA4D0-\uA4FD\uA500-\uA60C\uA610-\uA61F\uA62A\uA62B\uA640-\uA66E\uA67F-\uA69D\uA6A0-\uA6E5\uA717-\uA71F\uA722-\uA788\uA78B-\uA7AD\uA7B0-\uA7B7\uA7F7-\uA801\uA803-\uA805\uA807-\uA80A\uA80C-\uA822\uA840-\uA873\uA882-\uA8B3\uA8F2-\uA8F7\uA8FB\uA8FD\uA90A-\uA925\uA930-\uA946\uA960-\uA97C\uA984-\uA9B2\uA9CF\uA9E0-\uA9E4\uA9E6-\uA9EF\uA9FA-\uA9FE\uAA00-\uAA28\uAA40-\uAA42\uAA44-\uAA4B\uAA60-\uAA76\uAA7A\uAA7E-\uAAAF\uAAB1\uAAB5\uAAB6\uAAB9-\uAABD\uAAC0\uAAC2\uAADB-\uAADD\uAAE0-\uAAEA\uAAF2-\uAAF4\uAB01-\uAB06\uAB09-\uAB0E\uAB11-\uAB16\uAB20-\uAB26\uAB28-\uAB2E\uAB30-\uAB5A\uAB5C-\uAB65\uAB70-\uABE2\uAC00-\uD7A3\uD7B0-\uD7C6\uD7CB-\uD7FB\uF900-\uFA6D\uFA70-\uFAD9\uFB00-\uFB06\uFB13-\uFB17\uFB1D\uFB1F-\uFB28\uFB2A-\uFB36\uFB38-\uFB3C\uFB3E\uFB40\uFB41\uFB43\uFB44\uFB46-\uFBB1\uFBD3-\uFD3D\uFD50-\uFD8F\uFD92-\uFDC7\uFDF0-\uFDFB\uFE70-\uFE74\uFE76-\uFEFC\uFF21-\uFF3A\uFF41-\uFF5A\uFF66-\uFFBE\uFFC2-\uFFC7\uFFCA-\uFFCF\uFFD2-\uFFD7\uFFDA-\uFFDC]
\p{Nd} (Number decimal digits):
[0-9\u0660-\u0669\u06F0-\u06F9\u07C0-\u07C9\u0966-\u096F\u09E6-\u09EF\u0A66-\u0A6F\u0AE6-\u0AEF\u0B66-\u0B6F\u0BE6-\u0BEF\u0C66-\u0C6F\u0CE6-\u0CEF\u0D66-\u0D6F\u0DE6-\u0DEF\u0E50-\u0E59\u0ED0-\u0ED9\u0F20-\u0F29\u1040-\u1049\u1090-\u1099\u17E0-\u17E9\u1810-\u1819\u1946-\u194F\u19D0-\u19D9\u1A80-\u1A89\u1A90-\u1A99\u1B50-\u1B59\u1BB0-\u1BB9\u1C40-\u1C49\u1C50-\u1C59\uA620-\uA629\uA8D0-\uA8D9\uA900-\uA909\uA9D0-\uA9D9\uA9F0-\uA9F9\uAA50-\uAA59\uABF0-\uABF9\uFF10-\uFF19]
\p{P} (Punctuation):
[!-#%-*,-/\:;?#\[-\]_\{\}\u00A1\u00A7\u00AB\u00B6\u00B7\u00BB\u00BF\u037E\u0387\u055A-\u055F\u0589\u058A\u05BE\u05C0\u05C3\u05C6\u05F3\u05F4\u0609\u060A\u060C\u060D\u061B\u061E\u061F\u066A-\u066D\u06D4\u0700-\u070D\u07F7-\u07F9\u0830-\u083E\u085E\u0964\u0965\u0970\u0AF0\u0DF4\u0E4F\u0E5A\u0E5B\u0F04-\u0F12\u0F14\u0F3A-\u0F3D\u0F85\u0FD0-\u0FD4\u0FD9\u0FDA\u104A-\u104F\u10FB\u1360-\u1368\u1400\u166D\u166E\u169B\u169C\u16EB-\u16ED\u1735\u1736\u17D4-\u17D6\u17D8-\u17DA\u1800-\u180A\u1944\u1945\u1A1E\u1A1F\u1AA0-\u1AA6\u1AA8-\u1AAD\u1B5A-\u1B60\u1BFC-\u1BFF\u1C3B-\u1C3F\u1C7E\u1C7F\u1CC0-\u1CC7\u1CD3\u2010-\u2027\u2030-\u2043\u2045-\u2051\u2053-\u205E\u207D\u207E\u208D\u208E\u2308-\u230B\u2329\u232A\u2768-\u2775\u27C5\u27C6\u27E6-\u27EF\u2983-\u2998\u29D8-\u29DB\u29FC\u29FD\u2CF9-\u2CFC\u2CFE\u2CFF\u2D70\u2E00-\u2E2E\u2E30-\u2E42\u3001-\u3003\u3008-\u3011\u3014-\u301F\u3030\u303D\u30A0\u30FB\uA4FE\uA4FF\uA60D-\uA60F\uA673\uA67E\uA6F2-\uA6F7\uA874-\uA877\uA8CE\uA8CF\uA8F8-\uA8FA\uA8FC\uA92E\uA92F\uA95F\uA9C1-\uA9CD\uA9DE\uA9DF\uAA5C-\uAA5F\uAADE\uAADF\uAAF0\uAAF1\uABEB\uFD3E\uFD3F\uFE10-\uFE19\uFE30-\uFE52\uFE54-\uFE61\uFE63\uFE68\uFE6A\uFE6B\uFF01-\uFF03\uFF05-\uFF0A\uFF0C-\uFF0F\uFF1A\uFF1B\uFF1F\uFF20\uFF3B-\uFF3D\uFF3F\uFF5B\uFF5D\uFF5F-\uFF65]
The page also recognizes a number of obscure character classes, such as \p{Hira}, which is just the (Japanese) Hiragana characters:
[\u3041-\u3096\u309D-\u309F]
Lastly, it's possible to plug a char class with more than one Unicode property to get a shorter regex than you would get by just combining them (as long as certain settings are checked).

Having also not found a good solution, I wrote a small script a long time ago, by downloading data from the unicode specification (v.5.0.0) and generating intervals for each unicode category and subcategory in the BMP (lately replaced by a small Java program that uses its own native Unicode support).
Basically it converts \p{...} to a range of values, much like the output of the tool mentioned by Tomalak, but the intervals can end up quite large (since it's not dealing with blocks, but with characters scattered through many different places).
For instance, a Regex written like this:
var regex = unicode_hack(/\p{L}(\p{L}|\p{Nd})*/g);
Will be converted to something like this:
/[\u0041-\u005a\u0061-\u007a...]([...]|[\u0030-\u0039\u0660-\u0669...])*/g
Haven't used it a lot in practice, but it seems to work fine from my tests, so I'm posting here in case someone find it useful. Despite the length of the resulting regexes (the example above has 3591 characters when expanded), the performance seems to be acceptable (see the tests at jsFiddle; thanks to #modiX and #Lwangaman for the improvements).
Here's the source (raw, 27.5KB; minified, 24.9KB, not much better...). It might be made smaller by unescaping the unicode characters, but OTOH will run the risk of encoding issues, so I'm leaving as it is. Hopefully with ES6 this kind of thing won't be necessary anymore.
Update: this looks like the same strategy adopted in the XRegExp Unicode plug-in mentioned by Tim Down, except that in this case regular JavaScript regexes are being used.

September 2018 (updated February 2019)
It seems that regexp /\p{L}/u for match letters (as unicode categories)
works on Chrome 68.0.3440.106 and Safari 11.1.2 (13605.3.8)
NOT working on Firefox 65.0 :(
Here is a working example
In below field you should be able to to type letters but not numbers<br>
<input type="text" name="field" onkeydown="return /\p{L}/u.test(event.key)" >
I report this bug here.
Update
After over 2 years according to: 1500035 > 1361876 > 1634135 finally this bug is fixed and will be available in Firefox v.78+

[^\u0000-\u007F]+ for any characters which is not included ASCII characters.
For example:
function isNonLatinCharacters(s) {
return /[^\u0000-\u007F]/.test(s);
}
console.log(isNonLatinCharacters("身分"));// Japanese
console.log(isNonLatinCharacters("测试"));// Chinese
console.log(isNonLatinCharacters("حمید"));// Persian
console.log(isNonLatinCharacters("테스트"));// Korean
console.log(isNonLatinCharacters("परीक्षण"));// Hindi
console.log(isNonLatinCharacters("מִבְחָן"));// Hebrew
Here are some perfect references:
Unicode range RegExp generator
Unicode Regular Expressions
Unicode 10.0 Character Code Charts
Match Unicode Block Range

As mentioned in other answers, JavaScript regexes have no support for Unicode character classes. However, there is a library that does provide this: Steven Levithan's excellent XRegExp and its Unicode plug-in.

In JavaScript, \w and \d are ASCII, while \s is Unicode. Don't ask me why. JavaScript does support \p with Unicode categories, which you can use to emulate a Unicode-aware \w and \d.
For \d use \p{N} (numbers)
For \w use [\p{L}\p{N}\p{Pc}\p{M}] (letters, numbers, underscores, marks)
Update: Unfortunately, I was wrong about this. JavaScript does does not officially support \p either, though some implementations may still support this. The only Unicode support in JavaScript regexes is matching specific code points with \uFFFF. You can use those in ranges in character classes.

This will do it:
/[A-Za-z\u00C0-\u00FF ]+/.exec('hipopótamo maçã pólen ñ poção água língüa')
It explicitly selects a range of unicode characters.
It will work for latin characters, but other strange characters may be out of this range.

If you are using Babel then Unicode support is already available.
I also released a plugin which transforms your source code such that you can write regular expressions like /^\p{L}+$/. These will then be transformed into something that browsers understand.
Here is the project page of the plugin:
babel-plugin-utf-8-regex

I'm answering this question
What would be the equivalent for \p{Lu} or \p{Ll} in regExp for js?
since it was marked as an exact duplicate of the current old question.
Querying the UCD Database of Unicode 12, \p{Lu} generates 1,788 code points.
Converting to UTF-16 yields the class construct equivalency.
It's only a 4k character string and is easily doable in any regex engines.
(?:[\u0041-\u005A\u00C0-\u00D6\u00D8-\u00DE\u0100\u0102\u0104\u0106\u0108\u010A\u010C\u010E\u0110\u0112\u0114\u0116\u0118\u011A\u011C\u011E\u0120\u0122\u0124\u0126\u0128\u012A\u012C\u012E\u0130\u0132\u0134\u0136\u0139\u013B\u013D\u013F\u0141\u0143\u0145\u0147\u014A\u014C\u014E\u0150\u0152\u0154\u0156\u0158\u015A\u015C\u015E\u0160\u0162\u0164\u0166\u0168\u016A\u016C\u016E\u0170\u0172\u0174\u0176\u0178-\u0179\u017B\u017D\u0181-\u0182\u0184\u0186-\u0187\u0189-\u018B\u018E-\u0191\u0193-\u0194\u0196-\u0198\u019C-\u019D\u019F-\u01A0\u01A2\u01A4\u01A6-\u01A7\u01A9\u01AC\u01AE-\u01AF\u01B1-\u01B3\u01B5\u01B7-\u01B8\u01BC\u01C4\u01C7\u01CA\u01CD\u01CF\u01D1\u01D3\u01D5\u01D7\u01D9\u01DB\u01DE\u01E0\u01E2\u01E4\u01E6\u01E8\u01EA\u01EC\u01EE\u01F1\u01F4\u01F6-\u01F8\u01FA\u01FC\u01FE\u0200\u0202\u0204\u0206\u0208\u020A\u020C\u020E\u0210\u0212\u0214\u0216\u0218\u021A\u021C\u021E\u0220\u0222\u0224\u0226\u0228\u022A\u022C\u022E\u0230\u0232\u023A-\u023B\u023D-\u023E\u0241\u0243-\u0246\u0248\u024A\u024C\u024E\u0370\u0372\u0376\u037F\u0386\u0388-\u038A\u038C\u038E-\u038F\u0391-\u03A1\u03A3-\u03AB\u03CF\u03D2-\u03D4\u03D8\u03DA\u03DC\u03DE\u03E0\u03E2\u03E4\u03E6\u03E8\u03EA\u03EC\u03EE\u03F4\u03F7\u03F9-\u03FA\u03FD-\u042F\u0460\u0462\u0464\u0466\u0468\u046A\u046C\u046E\u0470\u0472\u0474\u0476\u0478\u047A\u047C\u047E\u0480\u048A\u048C\u048E\u0490\u0492\u0494\u0496\u0498\u049A\u049C\u049E\u04A0\u04A2\u04A4\u04A6\u04A8\u04AA\u04AC\u04AE\u04B0\u04B2\u04B4\u04B6\u04B8\u04BA\u04BC\u04BE\u04C0-\u04C1\u04C3\u04C5\u04C7\u04C9\u04CB\u04CD\u04D0\u04D2\u04D4\u04D6\u04D8\u04DA\u04DC\u04DE\u04E0\u04E2\u04E4\u04E6\u04E8\u04EA\u04EC\u04EE\u04F0\u04F2\u04F4\u04F6\u04F8\u04FA\u04FC\u04FE\u0500\u0502\u0504\u0506\u0508\u050A\u050C\u050E\u0510\u0512\u0514\u0516\u0518\u051A\u051C\u051E\u0520\u0522\u0524\u0526\u0528\u052A\u052C\u052E\u0531-\u0556\u10A0-\u10C5\u10C7\u10CD\u13A0-\u13F5\u1C90-\u1CBA\u1CBD-\u1CBF\u1E00\u1E02\u1E04\u1E06\u1E08\u1E0A\u1E0C\u1E0E\u1E10\u1E12\u1E14\u1E16\u1E18\u1E1A\u1E1C\u1E1E\u1E20\u1E22\u1E24\u1E26\u1E28\u1E2A\u1E2C\u1E2E\u1E30\u1E32\u1E34\u1E36\u1E38\u1E3A\u1E3C\u1E3E\u1E40\u1E42\u1E44\u1E46\u1E48\u1E4A\u1E4C\u1E4E\u1E50\u1E52\u1E54\u1E56\u1E58\u1E5A\u1E5C\u1E5E\u1E60\u1E62\u1E64\u1E66\u1E68\u1E6A\u1E6C\u1E6E\u1E70\u1E72\u1E74\u1E76\u1E78\u1E7A\u1E7C\u1E7E\u1E80\u1E82\u1E84\u1E86\u1E88\u1E8A\u1E8C\u1E8E\u1E90\u1E92\u1E94\u1E9E\u1EA0\u1EA2\u1EA4\u1EA6\u1EA8\u1EAA\u1EAC\u1EAE\u1EB0\u1EB2\u1EB4\u1EB6\u1EB8\u1EBA\u1EBC\u1EBE\u1EC0\u1EC2\u1EC4\u1EC6\u1EC8\u1ECA\u1ECC\u1ECE\u1ED0\u1ED2\u1ED4\u1ED6\u1ED8\u1EDA\u1EDC\u1EDE\u1EE0\u1EE2\u1EE4\u1EE6\u1EE8\u1EEA\u1EEC\u1EEE\u1EF0\u1EF2\u1EF4\u1EF6\u1EF8\u1EFA\u1EFC\u1EFE\u1F08-\u1F0F\u1F18-\u1F1D\u1F28-\u1F2F\u1F38-\u1F3F\u1F48-\u1F4D\u1F59\u1F5B\u1F5D\u1F5F\u1F68-\u1F6F\u1FB8-\u1FBB\u1FC8-\u1FCB\u1FD8-\u1FDB\u1FE8-\u1FEC\u1FF8-\u1FFB\u2102\u2107\u210B-\u210D\u2110-\u2112\u2115\u2119-\u211D\u2124\u2126\u2128\u212A-\u212D\u2130-\u2133\u213E-\u213F\u2145\u2183\u2C00-\u2C2E\u2C60\u2C62-\u2C64\u2C67\u2C69\u2C6B\u2C6D-\u2C70\u2C72\u2C75\u2C7E-\u2C80\u2C82\u2C84\u2C86\u2C88\u2C8A\u2C8C\u2C8E\u2C90\u2C92\u2C94\u2C96\u2C98\u2C9A\u2C9C\u2C9E\u2CA0\u2CA2\u2CA4\u2CA6\u2CA8\u2CAA\u2CAC\u2CAE\u2CB0\u2CB2\u2CB4\u2CB6\u2CB8\u2CBA\u2CBC\u2CBE\u2CC0\u2CC2\u2CC4\u2CC6\u2CC8\u2CCA\u2CCC\u2CCE\u2CD0\u2CD2\u2CD4\u2CD6\u2CD8\u2CDA\u2CDC\u2CDE\u2CE0\u2CE2\u2CEB\u2CED\u2CF2\uA640\uA642\uA644\uA646\uA648\uA64A\uA64C\uA64E\uA650\uA652\uA654\uA656\uA658\uA65A\uA65C\uA65E\uA660\uA662\uA664\uA666\uA668\uA66A\uA66C\uA680\uA682\uA684\uA686\uA688\uA68A\uA68C\uA68E\uA690\uA692\uA694\uA696\uA698\uA69A\uA722\uA724\uA726\uA728\uA72A\uA72C\uA72E\uA732\uA734\uA736\uA738\uA73A\uA73C\uA73E\uA740\uA742\uA744\uA746\uA748\uA74A\uA74C\uA74E\uA750\uA752\uA754\uA756\uA758\uA75A\uA75C\uA75E\uA760\uA762\uA764\uA766\uA768\uA76A\uA76C\uA76E\uA779\uA77B\uA77D-\uA77E\uA780\uA782\uA784\uA786\uA78B\uA78D\uA790\uA792\uA796\uA798\uA79A\uA79C\uA79E\uA7A0\uA7A2\uA7A4\uA7A6\uA7A8\uA7AA-\uA7AE\uA7B0-\uA7B4\uA7B6\uA7B8\uA7BA\uA7BC\uA7BE\uA7C2\uA7C4-\uA7C6\uFF21-\uFF3A]|(?:\uD801[\uDC00-\uDC27\uDCB0-\uDCD3]|\uD803[\uDC80-\uDCB2]|\uD806[\uDCA0-\uDCBF]|\uD81B[\uDE40-\uDE5F]|\uD835[\uDC00-\uDC19\uDC34-\uDC4D\uDC68-\uDC81\uDC9C\uDC9E-\uDC9F\uDCA2\uDCA5-\uDCA6\uDCA9-\uDCAC\uDCAE-\uDCB5\uDCD0-\uDCE9\uDD04-\uDD05\uDD07-\uDD0A\uDD0D-\uDD14\uDD16-\uDD1C\uDD38-\uDD39\uDD3B-\uDD3E\uDD40-\uDD44\uDD46\uDD4A-\uDD50\uDD6C-\uDD85\uDDA0-\uDDB9\uDDD4-\uDDED\uDE08-\uDE21\uDE3C-\uDE55\uDE70-\uDE89\uDEA8-\uDEC0\uDEE2-\uDEFA\uDF1C-\uDF34\uDF56-\uDF6E\uDF90-\uDFA8\uDFCA]|\uD83A[\uDD00-\uDD21]))
Querying the UCD database of Unicode 12, \p{Ll} generates 2,151 code points.
Converting to UTF-16 yields the class construct equivalency.
(?:[\u0061-\u007A\u00B5\u00DF-\u00F6\u00F8-\u00FF\u0101\u0103\u0105\u0107\u0109\u010B\u010D\u010F\u0111\u0113\u0115\u0117\u0119\u011B\u011D\u011F\u0121\u0123\u0125\u0127\u0129\u012B\u012D\u012F\u0131\u0133\u0135\u0137-\u0138\u013A\u013C\u013E\u0140\u0142\u0144\u0146\u0148-\u0149\u014B\u014D\u014F\u0151\u0153\u0155\u0157\u0159\u015B\u015D\u015F\u0161\u0163\u0165\u0167\u0169\u016B\u016D\u016F\u0171\u0173\u0175\u0177\u017A\u017C\u017E-\u0180\u0183\u0185\u0188\u018C-\u018D\u0192\u0195\u0199-\u019B\u019E\u01A1\u01A3\u01A5\u01A8\u01AA-\u01AB\u01AD\u01B0\u01B4\u01B6\u01B9-\u01BA\u01BD-\u01BF\u01C6\u01C9\u01CC\u01CE\u01D0\u01D2\u01D4\u01D6\u01D8\u01DA\u01DC-\u01DD\u01DF\u01E1\u01E3\u01E5\u01E7\u01E9\u01EB\u01ED\u01EF-\u01F0\u01F3\u01F5\u01F9\u01FB\u01FD\u01FF\u0201\u0203\u0205\u0207\u0209\u020B\u020D\u020F\u0211\u0213\u0215\u0217\u0219\u021B\u021D\u021F\u0221\u0223\u0225\u0227\u0229\u022B\u022D\u022F\u0231\u0233-\u0239\u023C\u023F-\u0240\u0242\u0247\u0249\u024B\u024D\u024F-\u0293\u0295-\u02AF\u0371\u0373\u0377\u037B-\u037D\u0390\u03AC-\u03CE\u03D0-\u03D1\u03D5-\u03D7\u03D9\u03DB\u03DD\u03DF\u03E1\u03E3\u03E5\u03E7\u03E9\u03EB\u03ED\u03EF-\u03F3\u03F5\u03F8\u03FB-\u03FC\u0430-\u045F\u0461\u0463\u0465\u0467\u0469\u046B\u046D\u046F\u0471\u0473\u0475\u0477\u0479\u047B\u047D\u047F\u0481\u048B\u048D\u048F\u0491\u0493\u0495\u0497\u0499\u049B\u049D\u049F\u04A1\u04A3\u04A5\u04A7\u04A9\u04AB\u04AD\u04AF\u04B1\u04B3\u04B5\u04B7\u04B9\u04BB\u04BD\u04BF\u04C2\u04C4\u04C6\u04C8\u04CA\u04CC\u04CE-\u04CF\u04D1\u04D3\u04D5\u04D7\u04D9\u04DB\u04DD\u04DF\u04E1\u04E3\u04E5\u04E7\u04E9\u04EB\u04ED\u04EF\u04F1\u04F3\u04F5\u04F7\u04F9\u04FB\u04FD\u04FF\u0501\u0503\u0505\u0507\u0509\u050B\u050D\u050F\u0511\u0513\u0515\u0517\u0519\u051B\u051D\u051F\u0521\u0523\u0525\u0527\u0529\u052B\u052D\u052F\u0560-\u0588\u10D0-\u10FA\u10FD-\u10FF\u13F8-\u13FD\u1C80-\u1C88\u1D00-\u1D2B\u1D6B-\u1D77\u1D79-\u1D9A\u1E01\u1E03\u1E05\u1E07\u1E09\u1E0B\u1E0D\u1E0F\u1E11\u1E13\u1E15\u1E17\u1E19\u1E1B\u1E1D\u1E1F\u1E21\u1E23\u1E25\u1E27\u1E29\u1E2B\u1E2D\u1E2F\u1E31\u1E33\u1E35\u1E37\u1E39\u1E3B\u1E3D\u1E3F\u1E41\u1E43\u1E45\u1E47\u1E49\u1E4B\u1E4D\u1E4F\u1E51\u1E53\u1E55\u1E57\u1E59\u1E5B\u1E5D\u1E5F\u1E61\u1E63\u1E65\u1E67\u1E69\u1E6B\u1E6D\u1E6F\u1E71\u1E73\u1E75\u1E77\u1E79\u1E7B\u1E7D\u1E7F\u1E81\u1E83\u1E85\u1E87\u1E89\u1E8B\u1E8D\u1E8F\u1E91\u1E93\u1E95-\u1E9D\u1E9F\u1EA1\u1EA3\u1EA5\u1EA7\u1EA9\u1EAB\u1EAD\u1EAF\u1EB1\u1EB3\u1EB5\u1EB7\u1EB9\u1EBB\u1EBD\u1EBF\u1EC1\u1EC3\u1EC5\u1EC7\u1EC9\u1ECB\u1ECD\u1ECF\u1ED1\u1ED3\u1ED5\u1ED7\u1ED9\u1EDB\u1EDD\u1EDF\u1EE1\u1EE3\u1EE5\u1EE7\u1EE9\u1EEB\u1EED\u1EEF\u1EF1\u1EF3\u1EF5\u1EF7\u1EF9\u1EFB\u1EFD\u1EFF-\u1F07\u1F10-\u1F15\u1F20-\u1F27\u1F30-\u1F37\u1F40-\u1F45\u1F50-\u1F57\u1F60-\u1F67\u1F70-\u1F7D\u1F80-\u1F87\u1F90-\u1F97\u1FA0-\u1FA7\u1FB0-\u1FB4\u1FB6-\u1FB7\u1FBE\u1FC2-\u1FC4\u1FC6-\u1FC7\u1FD0-\u1FD3\u1FD6-\u1FD7\u1FE0-\u1FE7\u1FF2-\u1FF4\u1FF6-\u1FF7\u210A\u210E-\u210F\u2113\u212F\u2134\u2139\u213C-\u213D\u2146-\u2149\u214E\u2184\u2C30-\u2C5E\u2C61\u2C65-\u2C66\u2C68\u2C6A\u2C6C\u2C71\u2C73-\u2C74\u2C76-\u2C7B\u2C81\u2C83\u2C85\u2C87\u2C89\u2C8B\u2C8D\u2C8F\u2C91\u2C93\u2C95\u2C97\u2C99\u2C9B\u2C9D\u2C9F\u2CA1\u2CA3\u2CA5\u2CA7\u2CA9\u2CAB\u2CAD\u2CAF\u2CB1\u2CB3\u2CB5\u2CB7\u2CB9\u2CBB\u2CBD\u2CBF\u2CC1\u2CC3\u2CC5\u2CC7\u2CC9\u2CCB\u2CCD\u2CCF\u2CD1\u2CD3\u2CD5\u2CD7\u2CD9\u2CDB\u2CDD\u2CDF\u2CE1\u2CE3-\u2CE4\u2CEC\u2CEE\u2CF3\u2D00-\u2D25\u2D27\u2D2D\uA641\uA643\uA645\uA647\uA649\uA64B\uA64D\uA64F\uA651\uA653\uA655\uA657\uA659\uA65B\uA65D\uA65F\uA661\uA663\uA665\uA667\uA669\uA66B\uA66D\uA681\uA683\uA685\uA687\uA689\uA68B\uA68D\uA68F\uA691\uA693\uA695\uA697\uA699\uA69B\uA723\uA725\uA727\uA729\uA72B\uA72D\uA72F-\uA731\uA733\uA735\uA737\uA739\uA73B\uA73D\uA73F\uA741\uA743\uA745\uA747\uA749\uA74B\uA74D\uA74F\uA751\uA753\uA755\uA757\uA759\uA75B\uA75D\uA75F\uA761\uA763\uA765\uA767\uA769\uA76B\uA76D\uA76F\uA771-\uA778\uA77A\uA77C\uA77F\uA781\uA783\uA785\uA787\uA78C\uA78E\uA791\uA793-\uA795\uA797\uA799\uA79B\uA79D\uA79F\uA7A1\uA7A3\uA7A5\uA7A7\uA7A9\uA7AF\uA7B5\uA7B7\uA7B9\uA7BB\uA7BD\uA7BF\uA7C3\uA7FA\uAB30-\uAB5A\uAB60-\uAB67\uAB70-\uABBF\uFB00-\uFB06\uFB13-\uFB17\uFF41-\uFF5A]|(?:\uD801[\uDC28-\uDC4F\uDCD8-\uDCFB]|\uD803[\uDCC0-\uDCF2]|\uD806[\uDCC0-\uDCDF]|\uD81B[\uDE60-\uDE7F]|\uD835[\uDC1A-\uDC33\uDC4E-\uDC54\uDC56-\uDC67\uDC82-\uDC9B\uDCB6-\uDCB9\uDCBB\uDCBD-\uDCC3\uDCC5-\uDCCF\uDCEA-\uDD03\uDD1E-\uDD37\uDD52-\uDD6B\uDD86-\uDD9F\uDDBA-\uDDD3\uDDEE-\uDE07\uDE22-\uDE3B\uDE56-\uDE6F\uDE8A-\uDEA5\uDEC2-\uDEDA\uDEDC-\uDEE1\uDEFC-\uDF14\uDF16-\uDF1B\uDF36-\uDF4E\uDF50-\uDF55\uDF70-\uDF88\uDF8A-\uDF8F\uDFAA-\uDFC2\uDFC4-\uDFC9\uDFCB]|\uD83A[\uDD22-\uDD43]))
Note that a regex implementation of \p{Lu} or \p{Pl} actually calls a
non standard function to test the value.
The character classes shown here are done differently and are linear, standard
and pretty slow, when jammed into mostly a single class.
Some insight on how a Regex engine (in general) implements Unicode Property Classes:
Examine these performance characteristics between the property
and the class block (like above)
Regex1: LONG CLASS
< none >
Completed iterations: 50 / 50 ( x 1 )
Matches found per iteration: 1788
Elapsed Time: 0.73 s, 727.58 ms, 727584 µs
Matches per sec: 122,872
Regex2: \p{Lu}
Options: < ICU - none >
Completed iterations: 50 / 50 ( x 1 )
Matches found per iteration: 1788
Elapsed Time: 0.07 s, 65.32 ms, 65323 µs
Matches per sec: 1,368,583
Wow what a difference !!
Lets see how Properties might be implemented
Array of Pointers [ 10FFFF ] where each index is is a Code Point
Each pointer in the Array is to a structure of classification.
A Classification structure contains fixed field elemets.
Some are NULL and do not pertain.
Some contain category classifications.
Example : General Category
This is a bitmapped element that uses 17 out of 64 bits.
Whatever this Code Point supports has bit(s) set as a mask.
-Close_Punctuation
-Connector_Punctuation
-Control
-Currency_Symbol
-Dash_Punctuation
-Decimal_Number
-Enclosing_Mark
-Final_Punctuation
-Format
-Initial_Punctuation
-Letter_Number
-Line_Separator
-Lowercase_Letter
-Math_Symbol
-Modifier_Letter
-Modifier_Symbol
-Nonspacing_Mark
-Open_Punctuation
-Other_Letter
-Other_Number
-Other_Punctuation
-Other_Symbol
-Paragraph_Separator
-Private_Use
-Space_Separator
-Spacing_Mark
-Surrogate
-Titlecase_Letter
-Unassigned
-Uppercase_Letter
When a regex is parsed with something like this \p{Lu} it
is translated directly into
Classification Structure element offset : General Category
A check of that element for bit item : Uppercase_Letter
Another example, when a regex is parsed with punctuation property \p{P} it
is translated into
Classification Structure element offset : General Category
A check of that element for any of these items bits, which are joined into a mask :
-Close_Punctuation
-Connector_Punctuation
-Dash_Punctuation
-Final_Punctuation
-Initial_Punctuation
-Open_Punctuation
-Other_Punctuation
The offset and bit or bit(mask) are stored as a regex step for that property.
The lookup table is created once for all Unicode Code Points using this array.
When a character is checked, it is as simple as using the CP as an index into
this array and checking the Classification Structure's specific element for that bit(mask).
This structure is expandable and indirect to provide much more complex look ups. This is just a simple example.
Compare that direct lookup with a character class search :
All classes are a linear list of items searched from left to right.
In this comparison, given our target string contains only the complete
Upper Case Unicode Letters only, the law of averages would predict that
half of the items in the class would have to be ranged checked
to find a match.
This is a huge disadvantage in performance.
However, if the lookup tables are not there or are not up to date
with the latest Unicode release (12 as of this date)
then this would be the only way.
In fact, it is mostly the only way to get the complete Emoji
characters as there is no specific property (or reasoning) to their assignment.

You can also use:
function myFunction() {
var str = "xq234";
var allowChars = "^[a-zA-ZÀ-ÿ]+$";
var res = str.match(allowChars);
if(!str.match(allowChars)){
res="true";
}
else {
res="false";
}
document.getElementById("demo").innerHTML = res;

Why does NFKC normalize of all digits not work?

In JavaScript I am using NFKC normalization via String.prototype.normalize to normalize fullwidth to standard ASCII halfwidth characters.
'１'.normalize('NFKC') === '1'
> true
However, looking at more obscure digits like ૫ which is the digit 5 in Gujarati it does not normalize.
'૫'.normalize('NFKC') === '5'
> false
What am I missing?

Unicode normalisation is meant for characters that are variants of each other, not for every set of characters that might have similar meanings.
The character ‘１’ (FULLWIDTH DIGIT ONE) is essentially just the character ‘1’ (DIGIT ONE) with slightly different styling and would not have been encoded if it was not necessary for compatibility. They are – in some contexts – completely interchangeable, so the former was assigned a decomposition mapping to the latter. The character ‘૫’ (GUJARATI DIGIT FIVE) does not have a decomposition mapping because it is not a variant of any other character; it is its own distinct thing.
You can consult the Unicode Character Database to see which characters decompose and which (i.e. most of them) don’t. The link to the tool you posted as part of your question shows you for example that ૫ does not change under any form of Unicode normalisation.

You are looking the wrong problem.
Unicode is main purpose is about encoding characters (without loosing information). Fonts and other programs should be able to interpret such characters and give a glyph (according combination code point, nearby characters, and other characteristics outside code points [like language, epoch, font characteristic [script and non-script, uppercase, italic, etc changes how to combine characters and ligature (and also glyph form).
There are two main normalization (canonical and compatible) [and two variant: decomposed, and composed when possible]. Canonical normalization remove unneeded characters (repetition) and order composing characters in a standard way. Compatible normalization remove "compatible characters": characters that are in Unicode just not to lose information on converting to and from other charset.
Some digits (like small 2 exponent) have compatible character as normal digit (this is a formatting question, unicode is not about formatting). But on the other cases, digits in different characters should be keep ad different characters.
That was about normalization.
But you want to get the numeric value of a unicode character (warning: it could depends on other characters, position, etc.).
Unicode database provides also such property.
With Javascript, you may use unicode-properties javasript package, which provide you also the function getNumericValue(codePoint). This packages seems to use efficient compression of database, but so I don't know how fast it could be. The database is huge.

The NFKC which you are using here stands for Compatibility Decomposition followed by Canonical Composition, which in trivial english means first break things to smaller more often used symbols and then combine them to find the equivalent simpler character. For example 𝟘->0, ﬁ->fi (Codepoint ﬁ=64257).
It does not do conversion to ASCII, for example in ख़(2393)-> ख़([2326, 2364])
Reference:https://unicode.org/reports/tr15/#Norm_Forms
For simpler understanding:https://towardsdatascience.com/difference-between-nfd-nfc-nfkd-and-nfkc-explained-with-python-code-e2631f96ae6c

Unicode properties and Firefox JavaScript [duplicate]

There should be something akin to \w that can match any code-point in Letters or Marks category (not just the ASCII ones), and hopefully have filters like [[P*]] for punctuation, etc.

Personally, I would rather not install another library just to get this functionality. My answer does not require any external libraries, and it may also work with little modification for regex flavors besides JavaScript.
Unicode's website provides a way to translate Unicode categories into a set of code points. Since it's Unicode's website, the information from it should be accurate.
Note that you will need to exclude the high-end characters, as JavaScript can only handle characters less than FFFF (hex). I suggest checking the Abbreviate Collate, and Escape check boxes, which strike a balance between avoiding unprintable characters and minimizing the size of the regex.
Here are some common expansions of different Unicode properties:
\p{L} (Letters):
[A-Za-z\u00AA\u00B5\u00BA\u00C0-\u00D6\u00D8-\u00F6\u00F8-\u02C1\u02C6-\u02D1\u02E0-\u02E4\u02EC\u02EE\u0370-\u0374\u0376\u0377\u037A-\u037D\u037F\u0386\u0388-\u038A\u038C\u038E-\u03A1\u03A3-\u03F5\u03F7-\u0481\u048A-\u052F\u0531-\u0556\u0559\u0561-\u0587\u05D0-\u05EA\u05F0-\u05F2\u0620-\u064A\u066E\u066F\u0671-\u06D3\u06D5\u06E5\u06E6\u06EE\u06EF\u06FA-\u06FC\u06FF\u0710\u0712-\u072F\u074D-\u07A5\u07B1\u07CA-\u07EA\u07F4\u07F5\u07FA\u0800-\u0815\u081A\u0824\u0828\u0840-\u0858\u08A0-\u08B4\u0904-\u0939\u093D\u0950\u0958-\u0961\u0971-\u0980\u0985-\u098C\u098F\u0990\u0993-\u09A8\u09AA-\u09B0\u09B2\u09B6-\u09B9\u09BD\u09CE\u09DC\u09DD\u09DF-\u09E1\u09F0\u09F1\u0A05-\u0A0A\u0A0F\u0A10\u0A13-\u0A28\u0A2A-\u0A30\u0A32\u0A33\u0A35\u0A36\u0A38\u0A39\u0A59-\u0A5C\u0A5E\u0A72-\u0A74\u0A85-\u0A8D\u0A8F-\u0A91\u0A93-\u0AA8\u0AAA-\u0AB0\u0AB2\u0AB3\u0AB5-\u0AB9\u0ABD\u0AD0\u0AE0\u0AE1\u0AF9\u0B05-\u0B0C\u0B0F\u0B10\u0B13-\u0B28\u0B2A-\u0B30\u0B32\u0B33\u0B35-\u0B39\u0B3D\u0B5C\u0B5D\u0B5F-\u0B61\u0B71\u0B83\u0B85-\u0B8A\u0B8E-\u0B90\u0B92-\u0B95\u0B99\u0B9A\u0B9C\u0B9E\u0B9F\u0BA3\u0BA4\u0BA8-\u0BAA\u0BAE-\u0BB9\u0BD0\u0C05-\u0C0C\u0C0E-\u0C10\u0C12-\u0C28\u0C2A-\u0C39\u0C3D\u0C58-\u0C5A\u0C60\u0C61\u0C85-\u0C8C\u0C8E-\u0C90\u0C92-\u0CA8\u0CAA-\u0CB3\u0CB5-\u0CB9\u0CBD\u0CDE\u0CE0\u0CE1\u0CF1\u0CF2\u0D05-\u0D0C\u0D0E-\u0D10\u0D12-\u0D3A\u0D3D\u0D4E\u0D5F-\u0D61\u0D7A-\u0D7F\u0D85-\u0D96\u0D9A-\u0DB1\u0DB3-\u0DBB\u0DBD\u0DC0-\u0DC6\u0E01-\u0E30\u0E32\u0E33\u0E40-\u0E46\u0E81\u0E82\u0E84\u0E87\u0E88\u0E8A\u0E8D\u0E94-\u0E97\u0E99-\u0E9F\u0EA1-\u0EA3\u0EA5\u0EA7\u0EAA\u0EAB\u0EAD-\u0EB0\u0EB2\u0EB3\u0EBD\u0EC0-\u0EC4\u0EC6\u0EDC-\u0EDF\u0F00\u0F40-\u0F47\u0F49-\u0F6C\u0F88-\u0F8C\u1000-\u102A\u103F\u1050-\u1055\u105A-\u105D\u1061\u1065\u1066\u106E-\u1070\u1075-\u1081\u108E\u10A0-\u10C5\u10C7\u10CD\u10D0-\u10FA\u10FC-\u1248\u124A-\u124D\u1250-\u1256\u1258\u125A-\u125D\u1260-\u1288\u128A-\u128D\u1290-\u12B0\u12B2-\u12B5\u12B8-\u12BE\u12C0\u12C2-\u12C5\u12C8-\u12D6\u12D8-\u1310\u1312-\u1315\u1318-\u135A\u1380-\u138F\u13A0-\u13F5\u13F8-\u13FD\u1401-\u166C\u166F-\u167F\u1681-\u169A\u16A0-\u16EA\u16F1-\u16F8\u1700-\u170C\u170E-\u1711\u1720-\u1731\u1740-\u1751\u1760-\u176C\u176E-\u1770\u1780-\u17B3\u17D7\u17DC\u1820-\u1877\u1880-\u18A8\u18AA\u18B0-\u18F5\u1900-\u191E\u1950-\u196D\u1970-\u1974\u1980-\u19AB\u19B0-\u19C9\u1A00-\u1A16\u1A20-\u1A54\u1AA7\u1B05-\u1B33\u1B45-\u1B4B\u1B83-\u1BA0\u1BAE\u1BAF\u1BBA-\u1BE5\u1C00-\u1C23\u1C4D-\u1C4F\u1C5A-\u1C7D\u1CE9-\u1CEC\u1CEE-\u1CF1\u1CF5\u1CF6\u1D00-\u1DBF\u1E00-\u1F15\u1F18-\u1F1D\u1F20-\u1F45\u1F48-\u1F4D\u1F50-\u1F57\u1F59\u1F5B\u1F5D\u1F5F-\u1F7D\u1F80-\u1FB4\u1FB6-\u1FBC\u1FBE\u1FC2-\u1FC4\u1FC6-\u1FCC\u1FD0-\u1FD3\u1FD6-\u1FDB\u1FE0-\u1FEC\u1FF2-\u1FF4\u1FF6-\u1FFC\u2071\u207F\u2090-\u209C\u2102\u2107\u210A-\u2113\u2115\u2119-\u211D\u2124\u2126\u2128\u212A-\u212D\u212F-\u2139\u213C-\u213F\u2145-\u2149\u214E\u2183\u2184\u2C00-\u2C2E\u2C30-\u2C5E\u2C60-\u2CE4\u2CEB-\u2CEE\u2CF2\u2CF3\u2D00-\u2D25\u2D27\u2D2D\u2D30-\u2D67\u2D6F\u2D80-\u2D96\u2DA0-\u2DA6\u2DA8-\u2DAE\u2DB0-\u2DB6\u2DB8-\u2DBE\u2DC0-\u2DC6\u2DC8-\u2DCE\u2DD0-\u2DD6\u2DD8-\u2DDE\u2E2F\u3005\u3006\u3031-\u3035\u303B\u303C\u3041-\u3096\u309D-\u309F\u30A1-\u30FA\u30FC-\u30FF\u3105-\u312D\u3131-\u318E\u31A0-\u31BA\u31F0-\u31FF\u3400-\u4DB5\u4E00-\u9FD5\uA000-\uA48C\uA4D0-\uA4FD\uA500-\uA60C\uA610-\uA61F\uA62A\uA62B\uA640-\uA66E\uA67F-\uA69D\uA6A0-\uA6E5\uA717-\uA71F\uA722-\uA788\uA78B-\uA7AD\uA7B0-\uA7B7\uA7F7-\uA801\uA803-\uA805\uA807-\uA80A\uA80C-\uA822\uA840-\uA873\uA882-\uA8B3\uA8F2-\uA8F7\uA8FB\uA8FD\uA90A-\uA925\uA930-\uA946\uA960-\uA97C\uA984-\uA9B2\uA9CF\uA9E0-\uA9E4\uA9E6-\uA9EF\uA9FA-\uA9FE\uAA00-\uAA28\uAA40-\uAA42\uAA44-\uAA4B\uAA60-\uAA76\uAA7A\uAA7E-\uAAAF\uAAB1\uAAB5\uAAB6\uAAB9-\uAABD\uAAC0\uAAC2\uAADB-\uAADD\uAAE0-\uAAEA\uAAF2-\uAAF4\uAB01-\uAB06\uAB09-\uAB0E\uAB11-\uAB16\uAB20-\uAB26\uAB28-\uAB2E\uAB30-\uAB5A\uAB5C-\uAB65\uAB70-\uABE2\uAC00-\uD7A3\uD7B0-\uD7C6\uD7CB-\uD7FB\uF900-\uFA6D\uFA70-\uFAD9\uFB00-\uFB06\uFB13-\uFB17\uFB1D\uFB1F-\uFB28\uFB2A-\uFB36\uFB38-\uFB3C\uFB3E\uFB40\uFB41\uFB43\uFB44\uFB46-\uFBB1\uFBD3-\uFD3D\uFD50-\uFD8F\uFD92-\uFDC7\uFDF0-\uFDFB\uFE70-\uFE74\uFE76-\uFEFC\uFF21-\uFF3A\uFF41-\uFF5A\uFF66-\uFFBE\uFFC2-\uFFC7\uFFCA-\uFFCF\uFFD2-\uFFD7\uFFDA-\uFFDC]
\p{Nd} (Number decimal digits):
[0-9\u0660-\u0669\u06F0-\u06F9\u07C0-\u07C9\u0966-\u096F\u09E6-\u09EF\u0A66-\u0A6F\u0AE6-\u0AEF\u0B66-\u0B6F\u0BE6-\u0BEF\u0C66-\u0C6F\u0CE6-\u0CEF\u0D66-\u0D6F\u0DE6-\u0DEF\u0E50-\u0E59\u0ED0-\u0ED9\u0F20-\u0F29\u1040-\u1049\u1090-\u1099\u17E0-\u17E9\u1810-\u1819\u1946-\u194F\u19D0-\u19D9\u1A80-\u1A89\u1A90-\u1A99\u1B50-\u1B59\u1BB0-\u1BB9\u1C40-\u1C49\u1C50-\u1C59\uA620-\uA629\uA8D0-\uA8D9\uA900-\uA909\uA9D0-\uA9D9\uA9F0-\uA9F9\uAA50-\uAA59\uABF0-\uABF9\uFF10-\uFF19]
\p{P} (Punctuation):
[!-#%-*,-/\:;?#\[-\]_\{\}\u00A1\u00A7\u00AB\u00B6\u00B7\u00BB\u00BF\u037E\u0387\u055A-\u055F\u0589\u058A\u05BE\u05C0\u05C3\u05C6\u05F3\u05F4\u0609\u060A\u060C\u060D\u061B\u061E\u061F\u066A-\u066D\u06D4\u0700-\u070D\u07F7-\u07F9\u0830-\u083E\u085E\u0964\u0965\u0970\u0AF0\u0DF4\u0E4F\u0E5A\u0E5B\u0F04-\u0F12\u0F14\u0F3A-\u0F3D\u0F85\u0FD0-\u0FD4\u0FD9\u0FDA\u104A-\u104F\u10FB\u1360-\u1368\u1400\u166D\u166E\u169B\u169C\u16EB-\u16ED\u1735\u1736\u17D4-\u17D6\u17D8-\u17DA\u1800-\u180A\u1944\u1945\u1A1E\u1A1F\u1AA0-\u1AA6\u1AA8-\u1AAD\u1B5A-\u1B60\u1BFC-\u1BFF\u1C3B-\u1C3F\u1C7E\u1C7F\u1CC0-\u1CC7\u1CD3\u2010-\u2027\u2030-\u2043\u2045-\u2051\u2053-\u205E\u207D\u207E\u208D\u208E\u2308-\u230B\u2329\u232A\u2768-\u2775\u27C5\u27C6\u27E6-\u27EF\u2983-\u2998\u29D8-\u29DB\u29FC\u29FD\u2CF9-\u2CFC\u2CFE\u2CFF\u2D70\u2E00-\u2E2E\u2E30-\u2E42\u3001-\u3003\u3008-\u3011\u3014-\u301F\u3030\u303D\u30A0\u30FB\uA4FE\uA4FF\uA60D-\uA60F\uA673\uA67E\uA6F2-\uA6F7\uA874-\uA877\uA8CE\uA8CF\uA8F8-\uA8FA\uA8FC\uA92E\uA92F\uA95F\uA9C1-\uA9CD\uA9DE\uA9DF\uAA5C-\uAA5F\uAADE\uAADF\uAAF0\uAAF1\uABEB\uFD3E\uFD3F\uFE10-\uFE19\uFE30-\uFE52\uFE54-\uFE61\uFE63\uFE68\uFE6A\uFE6B\uFF01-\uFF03\uFF05-\uFF0A\uFF0C-\uFF0F\uFF1A\uFF1B\uFF1F\uFF20\uFF3B-\uFF3D\uFF3F\uFF5B\uFF5D\uFF5F-\uFF65]
The page also recognizes a number of obscure character classes, such as \p{Hira}, which is just the (Japanese) Hiragana characters:
[\u3041-\u3096\u309D-\u309F]
Lastly, it's possible to plug a char class with more than one Unicode property to get a shorter regex than you would get by just combining them (as long as certain settings are checked).

Having also not found a good solution, I wrote a small script a long time ago, by downloading data from the unicode specification (v.5.0.0) and generating intervals for each unicode category and subcategory in the BMP (lately replaced by a small Java program that uses its own native Unicode support).
Basically it converts \p{...} to a range of values, much like the output of the tool mentioned by Tomalak, but the intervals can end up quite large (since it's not dealing with blocks, but with characters scattered through many different places).
For instance, a Regex written like this:
var regex = unicode_hack(/\p{L}(\p{L}|\p{Nd})*/g);
Will be converted to something like this:
/[\u0041-\u005a\u0061-\u007a...]([...]|[\u0030-\u0039\u0660-\u0669...])*/g
Haven't used it a lot in practice, but it seems to work fine from my tests, so I'm posting here in case someone find it useful. Despite the length of the resulting regexes (the example above has 3591 characters when expanded), the performance seems to be acceptable (see the tests at jsFiddle; thanks to #modiX and #Lwangaman for the improvements).
Here's the source (raw, 27.5KB; minified, 24.9KB, not much better...). It might be made smaller by unescaping the unicode characters, but OTOH will run the risk of encoding issues, so I'm leaving as it is. Hopefully with ES6 this kind of thing won't be necessary anymore.
Update: this looks like the same strategy adopted in the XRegExp Unicode plug-in mentioned by Tim Down, except that in this case regular JavaScript regexes are being used.

September 2018 (updated February 2019)
It seems that regexp /\p{L}/u for match letters (as unicode categories)
works on Chrome 68.0.3440.106 and Safari 11.1.2 (13605.3.8)
NOT working on Firefox 65.0 :(
Here is a working example
In below field you should be able to to type letters but not numbers<br>
<input type="text" name="field" onkeydown="return /\p{L}/u.test(event.key)" >
I report this bug here.
Update
After over 2 years according to: 1500035 > 1361876 > 1634135 finally this bug is fixed and will be available in Firefox v.78+

[^\u0000-\u007F]+ for any characters which is not included ASCII characters.
For example:
function isNonLatinCharacters(s) {
return /[^\u0000-\u007F]/.test(s);
}
console.log(isNonLatinCharacters("身分"));// Japanese
console.log(isNonLatinCharacters("测试"));// Chinese
console.log(isNonLatinCharacters("حمید"));// Persian
console.log(isNonLatinCharacters("테스트"));// Korean
console.log(isNonLatinCharacters("परीक्षण"));// Hindi
console.log(isNonLatinCharacters("מִבְחָן"));// Hebrew
Here are some perfect references:
Unicode range RegExp generator
Unicode Regular Expressions
Unicode 10.0 Character Code Charts
Match Unicode Block Range

As mentioned in other answers, JavaScript regexes have no support for Unicode character classes. However, there is a library that does provide this: Steven Levithan's excellent XRegExp and its Unicode plug-in.

In JavaScript, \w and \d are ASCII, while \s is Unicode. Don't ask me why. JavaScript does support \p with Unicode categories, which you can use to emulate a Unicode-aware \w and \d.
For \d use \p{N} (numbers)
For \w use [\p{L}\p{N}\p{Pc}\p{M}] (letters, numbers, underscores, marks)
Update: Unfortunately, I was wrong about this. JavaScript does does not officially support \p either, though some implementations may still support this. The only Unicode support in JavaScript regexes is matching specific code points with \uFFFF. You can use those in ranges in character classes.

This will do it:
/[A-Za-z\u00C0-\u00FF ]+/.exec('hipopótamo maçã pólen ñ poção água língüa')
It explicitly selects a range of unicode characters.
It will work for latin characters, but other strange characters may be out of this range.

If you are using Babel then Unicode support is already available.
I also released a plugin which transforms your source code such that you can write regular expressions like /^\p{L}+$/. These will then be transformed into something that browsers understand.
Here is the project page of the plugin:
babel-plugin-utf-8-regex

I'm answering this question
What would be the equivalent for \p{Lu} or \p{Ll} in regExp for js?
since it was marked as an exact duplicate of the current old question.
Querying the UCD Database of Unicode 12, \p{Lu} generates 1,788 code points.
Converting to UTF-16 yields the class construct equivalency.
It's only a 4k character string and is easily doable in any regex engines.
(?:[\u0041-\u005A\u00C0-\u00D6\u00D8-\u00DE\u0100\u0102\u0104\u0106\u0108\u010A\u010C\u010E\u0110\u0112\u0114\u0116\u0118\u011A\u011C\u011E\u0120\u0122\u0124\u0126\u0128\u012A\u012C\u012E\u0130\u0132\u0134\u0136\u0139\u013B\u013D\u013F\u0141\u0143\u0145\u0147\u014A\u014C\u014E\u0150\u0152\u0154\u0156\u0158\u015A\u015C\u015E\u0160\u0162\u0164\u0166\u0168\u016A\u016C\u016E\u0170\u0172\u0174\u0176\u0178-\u0179\u017B\u017D\u0181-\u0182\u0184\u0186-\u0187\u0189-\u018B\u018E-\u0191\u0193-\u0194\u0196-\u0198\u019C-\u019D\u019F-\u01A0\u01A2\u01A4\u01A6-\u01A7\u01A9\u01AC\u01AE-\u01AF\u01B1-\u01B3\u01B5\u01B7-\u01B8\u01BC\u01C4\u01C7\u01CA\u01CD\u01CF\u01D1\u01D3\u01D5\u01D7\u01D9\u01DB\u01DE\u01E0\u01E2\u01E4\u01E6\u01E8\u01EA\u01EC\u01EE\u01F1\u01F4\u01F6-\u01F8\u01FA\u01FC\u01FE\u0200\u0202\u0204\u0206\u0208\u020A\u020C\u020E\u0210\u0212\u0214\u0216\u0218\u021A\u021C\u021E\u0220\u0222\u0224\u0226\u0228\u022A\u022C\u022E\u0230\u0232\u023A-\u023B\u023D-\u023E\u0241\u0243-\u0246\u0248\u024A\u024C\u024E\u0370\u0372\u0376\u037F\u0386\u0388-\u038A\u038C\u038E-\u038F\u0391-\u03A1\u03A3-\u03AB\u03CF\u03D2-\u03D4\u03D8\u03DA\u03DC\u03DE\u03E0\u03E2\u03E4\u03E6\u03E8\u03EA\u03EC\u03EE\u03F4\u03F7\u03F9-\u03FA\u03FD-\u042F\u0460\u0462\u0464\u0466\u0468\u046A\u046C\u046E\u0470\u0472\u0474\u0476\u0478\u047A\u047C\u047E\u0480\u048A\u048C\u048E\u0490\u0492\u0494\u0496\u0498\u049A\u049C\u049E\u04A0\u04A2\u04A4\u04A6\u04A8\u04AA\u04AC\u04AE\u04B0\u04B2\u04B4\u04B6\u04B8\u04BA\u04BC\u04BE\u04C0-\u04C1\u04C3\u04C5\u04C7\u04C9\u04CB\u04CD\u04D0\u04D2\u04D4\u04D6\u04D8\u04DA\u04DC\u04DE\u04E0\u04E2\u04E4\u04E6\u04E8\u04EA\u04EC\u04EE\u04F0\u04F2\u04F4\u04F6\u04F8\u04FA\u04FC\u04FE\u0500\u0502\u0504\u0506\u0508\u050A\u050C\u050E\u0510\u0512\u0514\u0516\u0518\u051A\u051C\u051E\u0520\u0522\u0524\u0526\u0528\u052A\u052C\u052E\u0531-\u0556\u10A0-\u10C5\u10C7\u10CD\u13A0-\u13F5\u1C90-\u1CBA\u1CBD-\u1CBF\u1E00\u1E02\u1E04\u1E06\u1E08\u1E0A\u1E0C\u1E0E\u1E10\u1E12\u1E14\u1E16\u1E18\u1E1A\u1E1C\u1E1E\u1E20\u1E22\u1E24\u1E26\u1E28\u1E2A\u1E2C\u1E2E\u1E30\u1E32\u1E34\u1E36\u1E38\u1E3A\u1E3C\u1E3E\u1E40\u1E42\u1E44\u1E46\u1E48\u1E4A\u1E4C\u1E4E\u1E50\u1E52\u1E54\u1E56\u1E58\u1E5A\u1E5C\u1E5E\u1E60\u1E62\u1E64\u1E66\u1E68\u1E6A\u1E6C\u1E6E\u1E70\u1E72\u1E74\u1E76\u1E78\u1E7A\u1E7C\u1E7E\u1E80\u1E82\u1E84\u1E86\u1E88\u1E8A\u1E8C\u1E8E\u1E90\u1E92\u1E94\u1E9E\u1EA0\u1EA2\u1EA4\u1EA6\u1EA8\u1EAA\u1EAC\u1EAE\u1EB0\u1EB2\u1EB4\u1EB6\u1EB8\u1EBA\u1EBC\u1EBE\u1EC0\u1EC2\u1EC4\u1EC6\u1EC8\u1ECA\u1ECC\u1ECE\u1ED0\u1ED2\u1ED4\u1ED6\u1ED8\u1EDA\u1EDC\u1EDE\u1EE0\u1EE2\u1EE4\u1EE6\u1EE8\u1EEA\u1EEC\u1EEE\u1EF0\u1EF2\u1EF4\u1EF6\u1EF8\u1EFA\u1EFC\u1EFE\u1F08-\u1F0F\u1F18-\u1F1D\u1F28-\u1F2F\u1F38-\u1F3F\u1F48-\u1F4D\u1F59\u1F5B\u1F5D\u1F5F\u1F68-\u1F6F\u1FB8-\u1FBB\u1FC8-\u1FCB\u1FD8-\u1FDB\u1FE8-\u1FEC\u1FF8-\u1FFB\u2102\u2107\u210B-\u210D\u2110-\u2112\u2115\u2119-\u211D\u2124\u2126\u2128\u212A-\u212D\u2130-\u2133\u213E-\u213F\u2145\u2183\u2C00-\u2C2E\u2C60\u2C62-\u2C64\u2C67\u2C69\u2C6B\u2C6D-\u2C70\u2C72\u2C75\u2C7E-\u2C80\u2C82\u2C84\u2C86\u2C88\u2C8A\u2C8C\u2C8E\u2C90\u2C92\u2C94\u2C96\u2C98\u2C9A\u2C9C\u2C9E\u2CA0\u2CA2\u2CA4\u2CA6\u2CA8\u2CAA\u2CAC\u2CAE\u2CB0\u2CB2\u2CB4\u2CB6\u2CB8\u2CBA\u2CBC\u2CBE\u2CC0\u2CC2\u2CC4\u2CC6\u2CC8\u2CCA\u2CCC\u2CCE\u2CD0\u2CD2\u2CD4\u2CD6\u2CD8\u2CDA\u2CDC\u2CDE\u2CE0\u2CE2\u2CEB\u2CED\u2CF2\uA640\uA642\uA644\uA646\uA648\uA64A\uA64C\uA64E\uA650\uA652\uA654\uA656\uA658\uA65A\uA65C\uA65E\uA660\uA662\uA664\uA666\uA668\uA66A\uA66C\uA680\uA682\uA684\uA686\uA688\uA68A\uA68C\uA68E\uA690\uA692\uA694\uA696\uA698\uA69A\uA722\uA724\uA726\uA728\uA72A\uA72C\uA72E\uA732\uA734\uA736\uA738\uA73A\uA73C\uA73E\uA740\uA742\uA744\uA746\uA748\uA74A\uA74C\uA74E\uA750\uA752\uA754\uA756\uA758\uA75A\uA75C\uA75E\uA760\uA762\uA764\uA766\uA768\uA76A\uA76C\uA76E\uA779\uA77B\uA77D-\uA77E\uA780\uA782\uA784\uA786\uA78B\uA78D\uA790\uA792\uA796\uA798\uA79A\uA79C\uA79E\uA7A0\uA7A2\uA7A4\uA7A6\uA7A8\uA7AA-\uA7AE\uA7B0-\uA7B4\uA7B6\uA7B8\uA7BA\uA7BC\uA7BE\uA7C2\uA7C4-\uA7C6\uFF21-\uFF3A]|(?:\uD801[\uDC00-\uDC27\uDCB0-\uDCD3]|\uD803[\uDC80-\uDCB2]|\uD806[\uDCA0-\uDCBF]|\uD81B[\uDE40-\uDE5F]|\uD835[\uDC00-\uDC19\uDC34-\uDC4D\uDC68-\uDC81\uDC9C\uDC9E-\uDC9F\uDCA2\uDCA5-\uDCA6\uDCA9-\uDCAC\uDCAE-\uDCB5\uDCD0-\uDCE9\uDD04-\uDD05\uDD07-\uDD0A\uDD0D-\uDD14\uDD16-\uDD1C\uDD38-\uDD39\uDD3B-\uDD3E\uDD40-\uDD44\uDD46\uDD4A-\uDD50\uDD6C-\uDD85\uDDA0-\uDDB9\uDDD4-\uDDED\uDE08-\uDE21\uDE3C-\uDE55\uDE70-\uDE89\uDEA8-\uDEC0\uDEE2-\uDEFA\uDF1C-\uDF34\uDF56-\uDF6E\uDF90-\uDFA8\uDFCA]|\uD83A[\uDD00-\uDD21]))
Querying the UCD database of Unicode 12, \p{Ll} generates 2,151 code points.
Converting to UTF-16 yields the class construct equivalency.
(?:[\u0061-\u007A\u00B5\u00DF-\u00F6\u00F8-\u00FF\u0101\u0103\u0105\u0107\u0109\u010B\u010D\u010F\u0111\u0113\u0115\u0117\u0119\u011B\u011D\u011F\u0121\u0123\u0125\u0127\u0129\u012B\u012D\u012F\u0131\u0133\u0135\u0137-\u0138\u013A\u013C\u013E\u0140\u0142\u0144\u0146\u0148-\u0149\u014B\u014D\u014F\u0151\u0153\u0155\u0157\u0159\u015B\u015D\u015F\u0161\u0163\u0165\u0167\u0169\u016B\u016D\u016F\u0171\u0173\u0175\u0177\u017A\u017C\u017E-\u0180\u0183\u0185\u0188\u018C-\u018D\u0192\u0195\u0199-\u019B\u019E\u01A1\u01A3\u01A5\u01A8\u01AA-\u01AB\u01AD\u01B0\u01B4\u01B6\u01B9-\u01BA\u01BD-\u01BF\u01C6\u01C9\u01CC\u01CE\u01D0\u01D2\u01D4\u01D6\u01D8\u01DA\u01DC-\u01DD\u01DF\u01E1\u01E3\u01E5\u01E7\u01E9\u01EB\u01ED\u01EF-\u01F0\u01F3\u01F5\u01F9\u01FB\u01FD\u01FF\u0201\u0203\u0205\u0207\u0209\u020B\u020D\u020F\u0211\u0213\u0215\u0217\u0219\u021B\u021D\u021F\u0221\u0223\u0225\u0227\u0229\u022B\u022D\u022F\u0231\u0233-\u0239\u023C\u023F-\u0240\u0242\u0247\u0249\u024B\u024D\u024F-\u0293\u0295-\u02AF\u0371\u0373\u0377\u037B-\u037D\u0390\u03AC-\u03CE\u03D0-\u03D1\u03D5-\u03D7\u03D9\u03DB\u03DD\u03DF\u03E1\u03E3\u03E5\u03E7\u03E9\u03EB\u03ED\u03EF-\u03F3\u03F5\u03F8\u03FB-\u03FC\u0430-\u045F\u0461\u0463\u0465\u0467\u0469\u046B\u046D\u046F\u0471\u0473\u0475\u0477\u0479\u047B\u047D\u047F\u0481\u048B\u048D\u048F\u0491\u0493\u0495\u0497\u0499\u049B\u049D\u049F\u04A1\u04A3\u04A5\u04A7\u04A9\u04AB\u04AD\u04AF\u04B1\u04B3\u04B5\u04B7\u04B9\u04BB\u04BD\u04BF\u04C2\u04C4\u04C6\u04C8\u04CA\u04CC\u04CE-\u04CF\u04D1\u04D3\u04D5\u04D7\u04D9\u04DB\u04DD\u04DF\u04E1\u04E3\u04E5\u04E7\u04E9\u04EB\u04ED\u04EF\u04F1\u04F3\u04F5\u04F7\u04F9\u04FB\u04FD\u04FF\u0501\u0503\u0505\u0507\u0509\u050B\u050D\u050F\u0511\u0513\u0515\u0517\u0519\u051B\u051D\u051F\u0521\u0523\u0525\u0527\u0529\u052B\u052D\u052F\u0560-\u0588\u10D0-\u10FA\u10FD-\u10FF\u13F8-\u13FD\u1C80-\u1C88\u1D00-\u1D2B\u1D6B-\u1D77\u1D79-\u1D9A\u1E01\u1E03\u1E05\u1E07\u1E09\u1E0B\u1E0D\u1E0F\u1E11\u1E13\u1E15\u1E17\u1E19\u1E1B\u1E1D\u1E1F\u1E21\u1E23\u1E25\u1E27\u1E29\u1E2B\u1E2D\u1E2F\u1E31\u1E33\u1E35\u1E37\u1E39\u1E3B\u1E3D\u1E3F\u1E41\u1E43\u1E45\u1E47\u1E49\u1E4B\u1E4D\u1E4F\u1E51\u1E53\u1E55\u1E57\u1E59\u1E5B\u1E5D\u1E5F\u1E61\u1E63\u1E65\u1E67\u1E69\u1E6B\u1E6D\u1E6F\u1E71\u1E73\u1E75\u1E77\u1E79\u1E7B\u1E7D\u1E7F\u1E81\u1E83\u1E85\u1E87\u1E89\u1E8B\u1E8D\u1E8F\u1E91\u1E93\u1E95-\u1E9D\u1E9F\u1EA1\u1EA3\u1EA5\u1EA7\u1EA9\u1EAB\u1EAD\u1EAF\u1EB1\u1EB3\u1EB5\u1EB7\u1EB9\u1EBB\u1EBD\u1EBF\u1EC1\u1EC3\u1EC5\u1EC7\u1EC9\u1ECB\u1ECD\u1ECF\u1ED1\u1ED3\u1ED5\u1ED7\u1ED9\u1EDB\u1EDD\u1EDF\u1EE1\u1EE3\u1EE5\u1EE7\u1EE9\u1EEB\u1EED\u1EEF\u1EF1\u1EF3\u1EF5\u1EF7\u1EF9\u1EFB\u1EFD\u1EFF-\u1F07\u1F10-\u1F15\u1F20-\u1F27\u1F30-\u1F37\u1F40-\u1F45\u1F50-\u1F57\u1F60-\u1F67\u1F70-\u1F7D\u1F80-\u1F87\u1F90-\u1F97\u1FA0-\u1FA7\u1FB0-\u1FB4\u1FB6-\u1FB7\u1FBE\u1FC2-\u1FC4\u1FC6-\u1FC7\u1FD0-\u1FD3\u1FD6-\u1FD7\u1FE0-\u1FE7\u1FF2-\u1FF4\u1FF6-\u1FF7\u210A\u210E-\u210F\u2113\u212F\u2134\u2139\u213C-\u213D\u2146-\u2149\u214E\u2184\u2C30-\u2C5E\u2C61\u2C65-\u2C66\u2C68\u2C6A\u2C6C\u2C71\u2C73-\u2C74\u2C76-\u2C7B\u2C81\u2C83\u2C85\u2C87\u2C89\u2C8B\u2C8D\u2C8F\u2C91\u2C93\u2C95\u2C97\u2C99\u2C9B\u2C9D\u2C9F\u2CA1\u2CA3\u2CA5\u2CA7\u2CA9\u2CAB\u2CAD\u2CAF\u2CB1\u2CB3\u2CB5\u2CB7\u2CB9\u2CBB\u2CBD\u2CBF\u2CC1\u2CC3\u2CC5\u2CC7\u2CC9\u2CCB\u2CCD\u2CCF\u2CD1\u2CD3\u2CD5\u2CD7\u2CD9\u2CDB\u2CDD\u2CDF\u2CE1\u2CE3-\u2CE4\u2CEC\u2CEE\u2CF3\u2D00-\u2D25\u2D27\u2D2D\uA641\uA643\uA645\uA647\uA649\uA64B\uA64D\uA64F\uA651\uA653\uA655\uA657\uA659\uA65B\uA65D\uA65F\uA661\uA663\uA665\uA667\uA669\uA66B\uA66D\uA681\uA683\uA685\uA687\uA689\uA68B\uA68D\uA68F\uA691\uA693\uA695\uA697\uA699\uA69B\uA723\uA725\uA727\uA729\uA72B\uA72D\uA72F-\uA731\uA733\uA735\uA737\uA739\uA73B\uA73D\uA73F\uA741\uA743\uA745\uA747\uA749\uA74B\uA74D\uA74F\uA751\uA753\uA755\uA757\uA759\uA75B\uA75D\uA75F\uA761\uA763\uA765\uA767\uA769\uA76B\uA76D\uA76F\uA771-\uA778\uA77A\uA77C\uA77F\uA781\uA783\uA785\uA787\uA78C\uA78E\uA791\uA793-\uA795\uA797\uA799\uA79B\uA79D\uA79F\uA7A1\uA7A3\uA7A5\uA7A7\uA7A9\uA7AF\uA7B5\uA7B7\uA7B9\uA7BB\uA7BD\uA7BF\uA7C3\uA7FA\uAB30-\uAB5A\uAB60-\uAB67\uAB70-\uABBF\uFB00-\uFB06\uFB13-\uFB17\uFF41-\uFF5A]|(?:\uD801[\uDC28-\uDC4F\uDCD8-\uDCFB]|\uD803[\uDCC0-\uDCF2]|\uD806[\uDCC0-\uDCDF]|\uD81B[\uDE60-\uDE7F]|\uD835[\uDC1A-\uDC33\uDC4E-\uDC54\uDC56-\uDC67\uDC82-\uDC9B\uDCB6-\uDCB9\uDCBB\uDCBD-\uDCC3\uDCC5-\uDCCF\uDCEA-\uDD03\uDD1E-\uDD37\uDD52-\uDD6B\uDD86-\uDD9F\uDDBA-\uDDD3\uDDEE-\uDE07\uDE22-\uDE3B\uDE56-\uDE6F\uDE8A-\uDEA5\uDEC2-\uDEDA\uDEDC-\uDEE1\uDEFC-\uDF14\uDF16-\uDF1B\uDF36-\uDF4E\uDF50-\uDF55\uDF70-\uDF88\uDF8A-\uDF8F\uDFAA-\uDFC2\uDFC4-\uDFC9\uDFCB]|\uD83A[\uDD22-\uDD43]))
Note that a regex implementation of \p{Lu} or \p{Pl} actually calls a
non standard function to test the value.
The character classes shown here are done differently and are linear, standard
and pretty slow, when jammed into mostly a single class.
Some insight on how a Regex engine (in general) implements Unicode Property Classes:
Examine these performance characteristics between the property
and the class block (like above)
Regex1: LONG CLASS
< none >
Completed iterations: 50 / 50 ( x 1 )
Matches found per iteration: 1788
Elapsed Time: 0.73 s, 727.58 ms, 727584 µs
Matches per sec: 122,872
Regex2: \p{Lu}
Options: < ICU - none >
Completed iterations: 50 / 50 ( x 1 )
Matches found per iteration: 1788
Elapsed Time: 0.07 s, 65.32 ms, 65323 µs
Matches per sec: 1,368,583
Wow what a difference !!
Lets see how Properties might be implemented
Array of Pointers [ 10FFFF ] where each index is is a Code Point
Each pointer in the Array is to a structure of classification.
A Classification structure contains fixed field elemets.
Some are NULL and do not pertain.
Some contain category classifications.
Example : General Category
This is a bitmapped element that uses 17 out of 64 bits.
Whatever this Code Point supports has bit(s) set as a mask.
-Close_Punctuation
-Connector_Punctuation
-Control
-Currency_Symbol
-Dash_Punctuation
-Decimal_Number
-Enclosing_Mark
-Final_Punctuation
-Format
-Initial_Punctuation
-Letter_Number
-Line_Separator
-Lowercase_Letter
-Math_Symbol
-Modifier_Letter
-Modifier_Symbol
-Nonspacing_Mark
-Open_Punctuation
-Other_Letter
-Other_Number
-Other_Punctuation
-Other_Symbol
-Paragraph_Separator
-Private_Use
-Space_Separator
-Spacing_Mark
-Surrogate
-Titlecase_Letter
-Unassigned
-Uppercase_Letter
When a regex is parsed with something like this \p{Lu} it
is translated directly into
Classification Structure element offset : General Category
A check of that element for bit item : Uppercase_Letter
Another example, when a regex is parsed with punctuation property \p{P} it
is translated into
Classification Structure element offset : General Category
A check of that element for any of these items bits, which are joined into a mask :
-Close_Punctuation
-Connector_Punctuation
-Dash_Punctuation
-Final_Punctuation
-Initial_Punctuation
-Open_Punctuation
-Other_Punctuation
The offset and bit or bit(mask) are stored as a regex step for that property.
The lookup table is created once for all Unicode Code Points using this array.
When a character is checked, it is as simple as using the CP as an index into
this array and checking the Classification Structure's specific element for that bit(mask).
This structure is expandable and indirect to provide much more complex look ups. This is just a simple example.
Compare that direct lookup with a character class search :
All classes are a linear list of items searched from left to right.
In this comparison, given our target string contains only the complete
Upper Case Unicode Letters only, the law of averages would predict that
half of the items in the class would have to be ranged checked
to find a match.
This is a huge disadvantage in performance.
However, if the lookup tables are not there or are not up to date
with the latest Unicode release (12 as of this date)
then this would be the only way.
In fact, it is mostly the only way to get the complete Emoji
characters as there is no specific property (or reasoning) to their assignment.

You can also use:
function myFunction() {
var str = "xq234";
var allowChars = "^[a-zA-ZÀ-ÿ]+$";
var res = str.match(allowChars);
if(!str.match(allowChars)){
res="true";
}
else {
res="false";
}
document.getElementById("demo").innerHTML = res;

Matching characters in different languages [duplicate]

There should be something akin to \w that can match any code-point in Letters or Marks category (not just the ASCII ones), and hopefully have filters like [[P*]] for punctuation, etc.

Personally, I would rather not install another library just to get this functionality. My answer does not require any external libraries, and it may also work with little modification for regex flavors besides JavaScript.
Unicode's website provides a way to translate Unicode categories into a set of code points. Since it's Unicode's website, the information from it should be accurate.
Note that you will need to exclude the high-end characters, as JavaScript can only handle characters less than FFFF (hex). I suggest checking the Abbreviate Collate, and Escape check boxes, which strike a balance between avoiding unprintable characters and minimizing the size of the regex.
Here are some common expansions of different Unicode properties:
\p{L} (Letters):
[A-Za-z\u00AA\u00B5\u00BA\u00C0-\u00D6\u00D8-\u00F6\u00F8-\u02C1\u02C6-\u02D1\u02E0-\u02E4\u02EC\u02EE\u0370-\u0374\u0376\u0377\u037A-\u037D\u037F\u0386\u0388-\u038A\u038C\u038E-\u03A1\u03A3-\u03F5\u03F7-\u0481\u048A-\u052F\u0531-\u0556\u0559\u0561-\u0587\u05D0-\u05EA\u05F0-\u05F2\u0620-\u064A\u066E\u066F\u0671-\u06D3\u06D5\u06E5\u06E6\u06EE\u06EF\u06FA-\u06FC\u06FF\u0710\u0712-\u072F\u074D-\u07A5\u07B1\u07CA-\u07EA\u07F4\u07F5\u07FA\u0800-\u0815\u081A\u0824\u0828\u0840-\u0858\u08A0-\u08B4\u0904-\u0939\u093D\u0950\u0958-\u0961\u0971-\u0980\u0985-\u098C\u098F\u0990\u0993-\u09A8\u09AA-\u09B0\u09B2\u09B6-\u09B9\u09BD\u09CE\u09DC\u09DD\u09DF-\u09E1\u09F0\u09F1\u0A05-\u0A0A\u0A0F\u0A10\u0A13-\u0A28\u0A2A-\u0A30\u0A32\u0A33\u0A35\u0A36\u0A38\u0A39\u0A59-\u0A5C\u0A5E\u0A72-\u0A74\u0A85-\u0A8D\u0A8F-\u0A91\u0A93-\u0AA8\u0AAA-\u0AB0\u0AB2\u0AB3\u0AB5-\u0AB9\u0ABD\u0AD0\u0AE0\u0AE1\u0AF9\u0B05-\u0B0C\u0B0F\u0B10\u0B13-\u0B28\u0B2A-\u0B30\u0B32\u0B33\u0B35-\u0B39\u0B3D\u0B5C\u0B5D\u0B5F-\u0B61\u0B71\u0B83\u0B85-\u0B8A\u0B8E-\u0B90\u0B92-\u0B95\u0B99\u0B9A\u0B9C\u0B9E\u0B9F\u0BA3\u0BA4\u0BA8-\u0BAA\u0BAE-\u0BB9\u0BD0\u0C05-\u0C0C\u0C0E-\u0C10\u0C12-\u0C28\u0C2A-\u0C39\u0C3D\u0C58-\u0C5A\u0C60\u0C61\u0C85-\u0C8C\u0C8E-\u0C90\u0C92-\u0CA8\u0CAA-\u0CB3\u0CB5-\u0CB9\u0CBD\u0CDE\u0CE0\u0CE1\u0CF1\u0CF2\u0D05-\u0D0C\u0D0E-\u0D10\u0D12-\u0D3A\u0D3D\u0D4E\u0D5F-\u0D61\u0D7A-\u0D7F\u0D85-\u0D96\u0D9A-\u0DB1\u0DB3-\u0DBB\u0DBD\u0DC0-\u0DC6\u0E01-\u0E30\u0E32\u0E33\u0E40-\u0E46\u0E81\u0E82\u0E84\u0E87\u0E88\u0E8A\u0E8D\u0E94-\u0E97\u0E99-\u0E9F\u0EA1-\u0EA3\u0EA5\u0EA7\u0EAA\u0EAB\u0EAD-\u0EB0\u0EB2\u0EB3\u0EBD\u0EC0-\u0EC4\u0EC6\u0EDC-\u0EDF\u0F00\u0F40-\u0F47\u0F49-\u0F6C\u0F88-\u0F8C\u1000-\u102A\u103F\u1050-\u1055\u105A-\u105D\u1061\u1065\u1066\u106E-\u1070\u1075-\u1081\u108E\u10A0-\u10C5\u10C7\u10CD\u10D0-\u10FA\u10FC-\u1248\u124A-\u124D\u1250-\u1256\u1258\u125A-\u125D\u1260-\u1288\u128A-\u128D\u1290-\u12B0\u12B2-\u12B5\u12B8-\u12BE\u12C0\u12C2-\u12C5\u12C8-\u12D6\u12D8-\u1310\u1312-\u1315\u1318-\u135A\u1380-\u138F\u13A0-\u13F5\u13F8-\u13FD\u1401-\u166C\u166F-\u167F\u1681-\u169A\u16A0-\u16EA\u16F1-\u16F8\u1700-\u170C\u170E-\u1711\u1720-\u1731\u1740-\u1751\u1760-\u176C\u176E-\u1770\u1780-\u17B3\u17D7\u17DC\u1820-\u1877\u1880-\u18A8\u18AA\u18B0-\u18F5\u1900-\u191E\u1950-\u196D\u1970-\u1974\u1980-\u19AB\u19B0-\u19C9\u1A00-\u1A16\u1A20-\u1A54\u1AA7\u1B05-\u1B33\u1B45-\u1B4B\u1B83-\u1BA0\u1BAE\u1BAF\u1BBA-\u1BE5\u1C00-\u1C23\u1C4D-\u1C4F\u1C5A-\u1C7D\u1CE9-\u1CEC\u1CEE-\u1CF1\u1CF5\u1CF6\u1D00-\u1DBF\u1E00-\u1F15\u1F18-\u1F1D\u1F20-\u1F45\u1F48-\u1F4D\u1F50-\u1F57\u1F59\u1F5B\u1F5D\u1F5F-\u1F7D\u1F80-\u1FB4\u1FB6-\u1FBC\u1FBE\u1FC2-\u1FC4\u1FC6-\u1FCC\u1FD0-\u1FD3\u1FD6-\u1FDB\u1FE0-\u1FEC\u1FF2-\u1FF4\u1FF6-\u1FFC\u2071\u207F\u2090-\u209C\u2102\u2107\u210A-\u2113\u2115\u2119-\u211D\u2124\u2126\u2128\u212A-\u212D\u212F-\u2139\u213C-\u213F\u2145-\u2149\u214E\u2183\u2184\u2C00-\u2C2E\u2C30-\u2C5E\u2C60-\u2CE4\u2CEB-\u2CEE\u2CF2\u2CF3\u2D00-\u2D25\u2D27\u2D2D\u2D30-\u2D67\u2D6F\u2D80-\u2D96\u2DA0-\u2DA6\u2DA8-\u2DAE\u2DB0-\u2DB6\u2DB8-\u2DBE\u2DC0-\u2DC6\u2DC8-\u2DCE\u2DD0-\u2DD6\u2DD8-\u2DDE\u2E2F\u3005\u3006\u3031-\u3035\u303B\u303C\u3041-\u3096\u309D-\u309F\u30A1-\u30FA\u30FC-\u30FF\u3105-\u312D\u3131-\u318E\u31A0-\u31BA\u31F0-\u31FF\u3400-\u4DB5\u4E00-\u9FD5\uA000-\uA48C\uA4D0-\uA4FD\uA500-\uA60C\uA610-\uA61F\uA62A\uA62B\uA640-\uA66E\uA67F-\uA69D\uA6A0-\uA6E5\uA717-\uA71F\uA722-\uA788\uA78B-\uA7AD\uA7B0-\uA7B7\uA7F7-\uA801\uA803-\uA805\uA807-\uA80A\uA80C-\uA822\uA840-\uA873\uA882-\uA8B3\uA8F2-\uA8F7\uA8FB\uA8FD\uA90A-\uA925\uA930-\uA946\uA960-\uA97C\uA984-\uA9B2\uA9CF\uA9E0-\uA9E4\uA9E6-\uA9EF\uA9FA-\uA9FE\uAA00-\uAA28\uAA40-\uAA42\uAA44-\uAA4B\uAA60-\uAA76\uAA7A\uAA7E-\uAAAF\uAAB1\uAAB5\uAAB6\uAAB9-\uAABD\uAAC0\uAAC2\uAADB-\uAADD\uAAE0-\uAAEA\uAAF2-\uAAF4\uAB01-\uAB06\uAB09-\uAB0E\uAB11-\uAB16\uAB20-\uAB26\uAB28-\uAB2E\uAB30-\uAB5A\uAB5C-\uAB65\uAB70-\uABE2\uAC00-\uD7A3\uD7B0-\uD7C6\uD7CB-\uD7FB\uF900-\uFA6D\uFA70-\uFAD9\uFB00-\uFB06\uFB13-\uFB17\uFB1D\uFB1F-\uFB28\uFB2A-\uFB36\uFB38-\uFB3C\uFB3E\uFB40\uFB41\uFB43\uFB44\uFB46-\uFBB1\uFBD3-\uFD3D\uFD50-\uFD8F\uFD92-\uFDC7\uFDF0-\uFDFB\uFE70-\uFE74\uFE76-\uFEFC\uFF21-\uFF3A\uFF41-\uFF5A\uFF66-\uFFBE\uFFC2-\uFFC7\uFFCA-\uFFCF\uFFD2-\uFFD7\uFFDA-\uFFDC]
\p{Nd} (Number decimal digits):
[0-9\u0660-\u0669\u06F0-\u06F9\u07C0-\u07C9\u0966-\u096F\u09E6-\u09EF\u0A66-\u0A6F\u0AE6-\u0AEF\u0B66-\u0B6F\u0BE6-\u0BEF\u0C66-\u0C6F\u0CE6-\u0CEF\u0D66-\u0D6F\u0DE6-\u0DEF\u0E50-\u0E59\u0ED0-\u0ED9\u0F20-\u0F29\u1040-\u1049\u1090-\u1099\u17E0-\u17E9\u1810-\u1819\u1946-\u194F\u19D0-\u19D9\u1A80-\u1A89\u1A90-\u1A99\u1B50-\u1B59\u1BB0-\u1BB9\u1C40-\u1C49\u1C50-\u1C59\uA620-\uA629\uA8D0-\uA8D9\uA900-\uA909\uA9D0-\uA9D9\uA9F0-\uA9F9\uAA50-\uAA59\uABF0-\uABF9\uFF10-\uFF19]
\p{P} (Punctuation):
[!-#%-*,-/\:;?#\[-\]_\{\}\u00A1\u00A7\u00AB\u00B6\u00B7\u00BB\u00BF\u037E\u0387\u055A-\u055F\u0589\u058A\u05BE\u05C0\u05C3\u05C6\u05F3\u05F4\u0609\u060A\u060C\u060D\u061B\u061E\u061F\u066A-\u066D\u06D4\u0700-\u070D\u07F7-\u07F9\u0830-\u083E\u085E\u0964\u0965\u0970\u0AF0\u0DF4\u0E4F\u0E5A\u0E5B\u0F04-\u0F12\u0F14\u0F3A-\u0F3D\u0F85\u0FD0-\u0FD4\u0FD9\u0FDA\u104A-\u104F\u10FB\u1360-\u1368\u1400\u166D\u166E\u169B\u169C\u16EB-\u16ED\u1735\u1736\u17D4-\u17D6\u17D8-\u17DA\u1800-\u180A\u1944\u1945\u1A1E\u1A1F\u1AA0-\u1AA6\u1AA8-\u1AAD\u1B5A-\u1B60\u1BFC-\u1BFF\u1C3B-\u1C3F\u1C7E\u1C7F\u1CC0-\u1CC7\u1CD3\u2010-\u2027\u2030-\u2043\u2045-\u2051\u2053-\u205E\u207D\u207E\u208D\u208E\u2308-\u230B\u2329\u232A\u2768-\u2775\u27C5\u27C6\u27E6-\u27EF\u2983-\u2998\u29D8-\u29DB\u29FC\u29FD\u2CF9-\u2CFC\u2CFE\u2CFF\u2D70\u2E00-\u2E2E\u2E30-\u2E42\u3001-\u3003\u3008-\u3011\u3014-\u301F\u3030\u303D\u30A0\u30FB\uA4FE\uA4FF\uA60D-\uA60F\uA673\uA67E\uA6F2-\uA6F7\uA874-\uA877\uA8CE\uA8CF\uA8F8-\uA8FA\uA8FC\uA92E\uA92F\uA95F\uA9C1-\uA9CD\uA9DE\uA9DF\uAA5C-\uAA5F\uAADE\uAADF\uAAF0\uAAF1\uABEB\uFD3E\uFD3F\uFE10-\uFE19\uFE30-\uFE52\uFE54-\uFE61\uFE63\uFE68\uFE6A\uFE6B\uFF01-\uFF03\uFF05-\uFF0A\uFF0C-\uFF0F\uFF1A\uFF1B\uFF1F\uFF20\uFF3B-\uFF3D\uFF3F\uFF5B\uFF5D\uFF5F-\uFF65]
The page also recognizes a number of obscure character classes, such as \p{Hira}, which is just the (Japanese) Hiragana characters:
[\u3041-\u3096\u309D-\u309F]
Lastly, it's possible to plug a char class with more than one Unicode property to get a shorter regex than you would get by just combining them (as long as certain settings are checked).

Having also not found a good solution, I wrote a small script a long time ago, by downloading data from the unicode specification (v.5.0.0) and generating intervals for each unicode category and subcategory in the BMP (lately replaced by a small Java program that uses its own native Unicode support).
Basically it converts \p{...} to a range of values, much like the output of the tool mentioned by Tomalak, but the intervals can end up quite large (since it's not dealing with blocks, but with characters scattered through many different places).
For instance, a Regex written like this:
var regex = unicode_hack(/\p{L}(\p{L}|\p{Nd})*/g);
Will be converted to something like this:
/[\u0041-\u005a\u0061-\u007a...]([...]|[\u0030-\u0039\u0660-\u0669...])*/g
Haven't used it a lot in practice, but it seems to work fine from my tests, so I'm posting here in case someone find it useful. Despite the length of the resulting regexes (the example above has 3591 characters when expanded), the performance seems to be acceptable (see the tests at jsFiddle; thanks to #modiX and #Lwangaman for the improvements).
Here's the source (raw, 27.5KB; minified, 24.9KB, not much better...). It might be made smaller by unescaping the unicode characters, but OTOH will run the risk of encoding issues, so I'm leaving as it is. Hopefully with ES6 this kind of thing won't be necessary anymore.
Update: this looks like the same strategy adopted in the XRegExp Unicode plug-in mentioned by Tim Down, except that in this case regular JavaScript regexes are being used.

September 2018 (updated February 2019)
It seems that regexp /\p{L}/u for match letters (as unicode categories)
works on Chrome 68.0.3440.106 and Safari 11.1.2 (13605.3.8)
NOT working on Firefox 65.0 :(
Here is a working example
In below field you should be able to to type letters but not numbers<br>
<input type="text" name="field" onkeydown="return /\p{L}/u.test(event.key)" >
I report this bug here.
Update
After over 2 years according to: 1500035 > 1361876 > 1634135 finally this bug is fixed and will be available in Firefox v.78+

[^\u0000-\u007F]+ for any characters which is not included ASCII characters.
For example:
function isNonLatinCharacters(s) {
return /[^\u0000-\u007F]/.test(s);
}
console.log(isNonLatinCharacters("身分"));// Japanese
console.log(isNonLatinCharacters("测试"));// Chinese
console.log(isNonLatinCharacters("حمید"));// Persian
console.log(isNonLatinCharacters("테스트"));// Korean
console.log(isNonLatinCharacters("परीक्षण"));// Hindi
console.log(isNonLatinCharacters("מִבְחָן"));// Hebrew
Here are some perfect references:
Unicode range RegExp generator
Unicode Regular Expressions
Unicode 10.0 Character Code Charts
Match Unicode Block Range

As mentioned in other answers, JavaScript regexes have no support for Unicode character classes. However, there is a library that does provide this: Steven Levithan's excellent XRegExp and its Unicode plug-in.

In JavaScript, \w and \d are ASCII, while \s is Unicode. Don't ask me why. JavaScript does support \p with Unicode categories, which you can use to emulate a Unicode-aware \w and \d.
For \d use \p{N} (numbers)
For \w use [\p{L}\p{N}\p{Pc}\p{M}] (letters, numbers, underscores, marks)
Update: Unfortunately, I was wrong about this. JavaScript does does not officially support \p either, though some implementations may still support this. The only Unicode support in JavaScript regexes is matching specific code points with \uFFFF. You can use those in ranges in character classes.

This will do it:
/[A-Za-z\u00C0-\u00FF ]+/.exec('hipopótamo maçã pólen ñ poção água língüa')
It explicitly selects a range of unicode characters.
It will work for latin characters, but other strange characters may be out of this range.

If you are using Babel then Unicode support is already available.
I also released a plugin which transforms your source code such that you can write regular expressions like /^\p{L}+$/. These will then be transformed into something that browsers understand.
Here is the project page of the plugin:
babel-plugin-utf-8-regex

I'm answering this question
What would be the equivalent for \p{Lu} or \p{Ll} in regExp for js?
since it was marked as an exact duplicate of the current old question.
Querying the UCD Database of Unicode 12, \p{Lu} generates 1,788 code points.
Converting to UTF-16 yields the class construct equivalency.
It's only a 4k character string and is easily doable in any regex engines.
(?:[\u0041-\u005A\u00C0-\u00D6\u00D8-\u00DE\u0100\u0102\u0104\u0106\u0108\u010A\u010C\u010E\u0110\u0112\u0114\u0116\u0118\u011A\u011C\u011E\u0120\u0122\u0124\u0126\u0128\u012A\u012C\u012E\u0130\u0132\u0134\u0136\u0139\u013B\u013D\u013F\u0141\u0143\u0145\u0147\u014A\u014C\u014E\u0150\u0152\u0154\u0156\u0158\u015A\u015C\u015E\u0160\u0162\u0164\u0166\u0168\u016A\u016C\u016E\u0170\u0172\u0174\u0176\u0178-\u0179\u017B\u017D\u0181-\u0182\u0184\u0186-\u0187\u0189-\u018B\u018E-\u0191\u0193-\u0194\u0196-\u0198\u019C-\u019D\u019F-\u01A0\u01A2\u01A4\u01A6-\u01A7\u01A9\u01AC\u01AE-\u01AF\u01B1-\u01B3\u01B5\u01B7-\u01B8\u01BC\u01C4\u01C7\u01CA\u01CD\u01CF\u01D1\u01D3\u01D5\u01D7\u01D9\u01DB\u01DE\u01E0\u01E2\u01E4\u01E6\u01E8\u01EA\u01EC\u01EE\u01F1\u01F4\u01F6-\u01F8\u01FA\u01FC\u01FE\u0200\u0202\u0204\u0206\u0208\u020A\u020C\u020E\u0210\u0212\u0214\u0216\u0218\u021A\u021C\u021E\u0220\u0222\u0224\u0226\u0228\u022A\u022C\u022E\u0230\u0232\u023A-\u023B\u023D-\u023E\u0241\u0243-\u0246\u0248\u024A\u024C\u024E\u0370\u0372\u0376\u037F\u0386\u0388-\u038A\u038C\u038E-\u038F\u0391-\u03A1\u03A3-\u03AB\u03CF\u03D2-\u03D4\u03D8\u03DA\u03DC\u03DE\u03E0\u03E2\u03E4\u03E6\u03E8\u03EA\u03EC\u03EE\u03F4\u03F7\u03F9-\u03FA\u03FD-\u042F\u0460\u0462\u0464\u0466\u0468\u046A\u046C\u046E\u0470\u0472\u0474\u0476\u0478\u047A\u047C\u047E\u0480\u048A\u048C\u048E\u0490\u0492\u0494\u0496\u0498\u049A\u049C\u049E\u04A0\u04A2\u04A4\u04A6\u04A8\u04AA\u04AC\u04AE\u04B0\u04B2\u04B4\u04B6\u04B8\u04BA\u04BC\u04BE\u04C0-\u04C1\u04C3\u04C5\u04C7\u04C9\u04CB\u04CD\u04D0\u04D2\u04D4\u04D6\u04D8\u04DA\u04DC\u04DE\u04E0\u04E2\u04E4\u04E6\u04E8\u04EA\u04EC\u04EE\u04F0\u04F2\u04F4\u04F6\u04F8\u04FA\u04FC\u04FE\u0500\u0502\u0504\u0506\u0508\u050A\u050C\u050E\u0510\u0512\u0514\u0516\u0518\u051A\u051C\u051E\u0520\u0522\u0524\u0526\u0528\u052A\u052C\u052E\u0531-\u0556\u10A0-\u10C5\u10C7\u10CD\u13A0-\u13F5\u1C90-\u1CBA\u1CBD-\u1CBF\u1E00\u1E02\u1E04\u1E06\u1E08\u1E0A\u1E0C\u1E0E\u1E10\u1E12\u1E14\u1E16\u1E18\u1E1A\u1E1C\u1E1E\u1E20\u1E22\u1E24\u1E26\u1E28\u1E2A\u1E2C\u1E2E\u1E30\u1E32\u1E34\u1E36\u1E38\u1E3A\u1E3C\u1E3E\u1E40\u1E42\u1E44\u1E46\u1E48\u1E4A\u1E4C\u1E4E\u1E50\u1E52\u1E54\u1E56\u1E58\u1E5A\u1E5C\u1E5E\u1E60\u1E62\u1E64\u1E66\u1E68\u1E6A\u1E6C\u1E6E\u1E70\u1E72\u1E74\u1E76\u1E78\u1E7A\u1E7C\u1E7E\u1E80\u1E82\u1E84\u1E86\u1E88\u1E8A\u1E8C\u1E8E\u1E90\u1E92\u1E94\u1E9E\u1EA0\u1EA2\u1EA4\u1EA6\u1EA8\u1EAA\u1EAC\u1EAE\u1EB0\u1EB2\u1EB4\u1EB6\u1EB8\u1EBA\u1EBC\u1EBE\u1EC0\u1EC2\u1EC4\u1EC6\u1EC8\u1ECA\u1ECC\u1ECE\u1ED0\u1ED2\u1ED4\u1ED6\u1ED8\u1EDA\u1EDC\u1EDE\u1EE0\u1EE2\u1EE4\u1EE6\u1EE8\u1EEA\u1EEC\u1EEE\u1EF0\u1EF2\u1EF4\u1EF6\u1EF8\u1EFA\u1EFC\u1EFE\u1F08-\u1F0F\u1F18-\u1F1D\u1F28-\u1F2F\u1F38-\u1F3F\u1F48-\u1F4D\u1F59\u1F5B\u1F5D\u1F5F\u1F68-\u1F6F\u1FB8-\u1FBB\u1FC8-\u1FCB\u1FD8-\u1FDB\u1FE8-\u1FEC\u1FF8-\u1FFB\u2102\u2107\u210B-\u210D\u2110-\u2112\u2115\u2119-\u211D\u2124\u2126\u2128\u212A-\u212D\u2130-\u2133\u213E-\u213F\u2145\u2183\u2C00-\u2C2E\u2C60\u2C62-\u2C64\u2C67\u2C69\u2C6B\u2C6D-\u2C70\u2C72\u2C75\u2C7E-\u2C80\u2C82\u2C84\u2C86\u2C88\u2C8A\u2C8C\u2C8E\u2C90\u2C92\u2C94\u2C96\u2C98\u2C9A\u2C9C\u2C9E\u2CA0\u2CA2\u2CA4\u2CA6\u2CA8\u2CAA\u2CAC\u2CAE\u2CB0\u2CB2\u2CB4\u2CB6\u2CB8\u2CBA\u2CBC\u2CBE\u2CC0\u2CC2\u2CC4\u2CC6\u2CC8\u2CCA\u2CCC\u2CCE\u2CD0\u2CD2\u2CD4\u2CD6\u2CD8\u2CDA\u2CDC\u2CDE\u2CE0\u2CE2\u2CEB\u2CED\u2CF2\uA640\uA642\uA644\uA646\uA648\uA64A\uA64C\uA64E\uA650\uA652\uA654\uA656\uA658\uA65A\uA65C\uA65E\uA660\uA662\uA664\uA666\uA668\uA66A\uA66C\uA680\uA682\uA684\uA686\uA688\uA68A\uA68C\uA68E\uA690\uA692\uA694\uA696\uA698\uA69A\uA722\uA724\uA726\uA728\uA72A\uA72C\uA72E\uA732\uA734\uA736\uA738\uA73A\uA73C\uA73E\uA740\uA742\uA744\uA746\uA748\uA74A\uA74C\uA74E\uA750\uA752\uA754\uA756\uA758\uA75A\uA75C\uA75E\uA760\uA762\uA764\uA766\uA768\uA76A\uA76C\uA76E\uA779\uA77B\uA77D-\uA77E\uA780\uA782\uA784\uA786\uA78B\uA78D\uA790\uA792\uA796\uA798\uA79A\uA79C\uA79E\uA7A0\uA7A2\uA7A4\uA7A6\uA7A8\uA7AA-\uA7AE\uA7B0-\uA7B4\uA7B6\uA7B8\uA7BA\uA7BC\uA7BE\uA7C2\uA7C4-\uA7C6\uFF21-\uFF3A]|(?:\uD801[\uDC00-\uDC27\uDCB0-\uDCD3]|\uD803[\uDC80-\uDCB2]|\uD806[\uDCA0-\uDCBF]|\uD81B[\uDE40-\uDE5F]|\uD835[\uDC00-\uDC19\uDC34-\uDC4D\uDC68-\uDC81\uDC9C\uDC9E-\uDC9F\uDCA2\uDCA5-\uDCA6\uDCA9-\uDCAC\uDCAE-\uDCB5\uDCD0-\uDCE9\uDD04-\uDD05\uDD07-\uDD0A\uDD0D-\uDD14\uDD16-\uDD1C\uDD38-\uDD39\uDD3B-\uDD3E\uDD40-\uDD44\uDD46\uDD4A-\uDD50\uDD6C-\uDD85\uDDA0-\uDDB9\uDDD4-\uDDED\uDE08-\uDE21\uDE3C-\uDE55\uDE70-\uDE89\uDEA8-\uDEC0\uDEE2-\uDEFA\uDF1C-\uDF34\uDF56-\uDF6E\uDF90-\uDFA8\uDFCA]|\uD83A[\uDD00-\uDD21]))
Querying the UCD database of Unicode 12, \p{Ll} generates 2,151 code points.
Converting to UTF-16 yields the class construct equivalency.
(?:[\u0061-\u007A\u00B5\u00DF-\u00F6\u00F8-\u00FF\u0101\u0103\u0105\u0107\u0109\u010B\u010D\u010F\u0111\u0113\u0115\u0117\u0119\u011B\u011D\u011F\u0121\u0123\u0125\u0127\u0129\u012B\u012D\u012F\u0131\u0133\u0135\u0137-\u0138\u013A\u013C\u013E\u0140\u0142\u0144\u0146\u0148-\u0149\u014B\u014D\u014F\u0151\u0153\u0155\u0157\u0159\u015B\u015D\u015F\u0161\u0163\u0165\u0167\u0169\u016B\u016D\u016F\u0171\u0173\u0175\u0177\u017A\u017C\u017E-\u0180\u0183\u0185\u0188\u018C-\u018D\u0192\u0195\u0199-\u019B\u019E\u01A1\u01A3\u01A5\u01A8\u01AA-\u01AB\u01AD\u01B0\u01B4\u01B6\u01B9-\u01BA\u01BD-\u01BF\u01C6\u01C9\u01CC\u01CE\u01D0\u01D2\u01D4\u01D6\u01D8\u01DA\u01DC-\u01DD\u01DF\u01E1\u01E3\u01E5\u01E7\u01E9\u01EB\u01ED\u01EF-\u01F0\u01F3\u01F5\u01F9\u01FB\u01FD\u01FF\u0201\u0203\u0205\u0207\u0209\u020B\u020D\u020F\u0211\u0213\u0215\u0217\u0219\u021B\u021D\u021F\u0221\u0223\u0225\u0227\u0229\u022B\u022D\u022F\u0231\u0233-\u0239\u023C\u023F-\u0240\u0242\u0247\u0249\u024B\u024D\u024F-\u0293\u0295-\u02AF\u0371\u0373\u0377\u037B-\u037D\u0390\u03AC-\u03CE\u03D0-\u03D1\u03D5-\u03D7\u03D9\u03DB\u03DD\u03DF\u03E1\u03E3\u03E5\u03E7\u03E9\u03EB\u03ED\u03EF-\u03F3\u03F5\u03F8\u03FB-\u03FC\u0430-\u045F\u0461\u0463\u0465\u0467\u0469\u046B\u046D\u046F\u0471\u0473\u0475\u0477\u0479\u047B\u047D\u047F\u0481\u048B\u048D\u048F\u0491\u0493\u0495\u0497\u0499\u049B\u049D\u049F\u04A1\u04A3\u04A5\u04A7\u04A9\u04AB\u04AD\u04AF\u04B1\u04B3\u04B5\u04B7\u04B9\u04BB\u04BD\u04BF\u04C2\u04C4\u04C6\u04C8\u04CA\u04CC\u04CE-\u04CF\u04D1\u04D3\u04D5\u04D7\u04D9\u04DB\u04DD\u04DF\u04E1\u04E3\u04E5\u04E7\u04E9\u04EB\u04ED\u04EF\u04F1\u04F3\u04F5\u04F7\u04F9\u04FB\u04FD\u04FF\u0501\u0503\u0505\u0507\u0509\u050B\u050D\u050F\u0511\u0513\u0515\u0517\u0519\u051B\u051D\u051F\u0521\u0523\u0525\u0527\u0529\u052B\u052D\u052F\u0560-\u0588\u10D0-\u10FA\u10FD-\u10FF\u13F8-\u13FD\u1C80-\u1C88\u1D00-\u1D2B\u1D6B-\u1D77\u1D79-\u1D9A\u1E01\u1E03\u1E05\u1E07\u1E09\u1E0B\u1E0D\u1E0F\u1E11\u1E13\u1E15\u1E17\u1E19\u1E1B\u1E1D\u1E1F\u1E21\u1E23\u1E25\u1E27\u1E29\u1E2B\u1E2D\u1E2F\u1E31\u1E33\u1E35\u1E37\u1E39\u1E3B\u1E3D\u1E3F\u1E41\u1E43\u1E45\u1E47\u1E49\u1E4B\u1E4D\u1E4F\u1E51\u1E53\u1E55\u1E57\u1E59\u1E5B\u1E5D\u1E5F\u1E61\u1E63\u1E65\u1E67\u1E69\u1E6B\u1E6D\u1E6F\u1E71\u1E73\u1E75\u1E77\u1E79\u1E7B\u1E7D\u1E7F\u1E81\u1E83\u1E85\u1E87\u1E89\u1E8B\u1E8D\u1E8F\u1E91\u1E93\u1E95-\u1E9D\u1E9F\u1EA1\u1EA3\u1EA5\u1EA7\u1EA9\u1EAB\u1EAD\u1EAF\u1EB1\u1EB3\u1EB5\u1EB7\u1EB9\u1EBB\u1EBD\u1EBF\u1EC1\u1EC3\u1EC5\u1EC7\u1EC9\u1ECB\u1ECD\u1ECF\u1ED1\u1ED3\u1ED5\u1ED7\u1ED9\u1EDB\u1EDD\u1EDF\u1EE1\u1EE3\u1EE5\u1EE7\u1EE9\u1EEB\u1EED\u1EEF\u1EF1\u1EF3\u1EF5\u1EF7\u1EF9\u1EFB\u1EFD\u1EFF-\u1F07\u1F10-\u1F15\u1F20-\u1F27\u1F30-\u1F37\u1F40-\u1F45\u1F50-\u1F57\u1F60-\u1F67\u1F70-\u1F7D\u1F80-\u1F87\u1F90-\u1F97\u1FA0-\u1FA7\u1FB0-\u1FB4\u1FB6-\u1FB7\u1FBE\u1FC2-\u1FC4\u1FC6-\u1FC7\u1FD0-\u1FD3\u1FD6-\u1FD7\u1FE0-\u1FE7\u1FF2-\u1FF4\u1FF6-\u1FF7\u210A\u210E-\u210F\u2113\u212F\u2134\u2139\u213C-\u213D\u2146-\u2149\u214E\u2184\u2C30-\u2C5E\u2C61\u2C65-\u2C66\u2C68\u2C6A\u2C6C\u2C71\u2C73-\u2C74\u2C76-\u2C7B\u2C81\u2C83\u2C85\u2C87\u2C89\u2C8B\u2C8D\u2C8F\u2C91\u2C93\u2C95\u2C97\u2C99\u2C9B\u2C9D\u2C9F\u2CA1\u2CA3\u2CA5\u2CA7\u2CA9\u2CAB\u2CAD\u2CAF\u2CB1\u2CB3\u2CB5\u2CB7\u2CB9\u2CBB\u2CBD\u2CBF\u2CC1\u2CC3\u2CC5\u2CC7\u2CC9\u2CCB\u2CCD\u2CCF\u2CD1\u2CD3\u2CD5\u2CD7\u2CD9\u2CDB\u2CDD\u2CDF\u2CE1\u2CE3-\u2CE4\u2CEC\u2CEE\u2CF3\u2D00-\u2D25\u2D27\u2D2D\uA641\uA643\uA645\uA647\uA649\uA64B\uA64D\uA64F\uA651\uA653\uA655\uA657\uA659\uA65B\uA65D\uA65F\uA661\uA663\uA665\uA667\uA669\uA66B\uA66D\uA681\uA683\uA685\uA687\uA689\uA68B\uA68D\uA68F\uA691\uA693\uA695\uA697\uA699\uA69B\uA723\uA725\uA727\uA729\uA72B\uA72D\uA72F-\uA731\uA733\uA735\uA737\uA739\uA73B\uA73D\uA73F\uA741\uA743\uA745\uA747\uA749\uA74B\uA74D\uA74F\uA751\uA753\uA755\uA757\uA759\uA75B\uA75D\uA75F\uA761\uA763\uA765\uA767\uA769\uA76B\uA76D\uA76F\uA771-\uA778\uA77A\uA77C\uA77F\uA781\uA783\uA785\uA787\uA78C\uA78E\uA791\uA793-\uA795\uA797\uA799\uA79B\uA79D\uA79F\uA7A1\uA7A3\uA7A5\uA7A7\uA7A9\uA7AF\uA7B5\uA7B7\uA7B9\uA7BB\uA7BD\uA7BF\uA7C3\uA7FA\uAB30-\uAB5A\uAB60-\uAB67\uAB70-\uABBF\uFB00-\uFB06\uFB13-\uFB17\uFF41-\uFF5A]|(?:\uD801[\uDC28-\uDC4F\uDCD8-\uDCFB]|\uD803[\uDCC0-\uDCF2]|\uD806[\uDCC0-\uDCDF]|\uD81B[\uDE60-\uDE7F]|\uD835[\uDC1A-\uDC33\uDC4E-\uDC54\uDC56-\uDC67\uDC82-\uDC9B\uDCB6-\uDCB9\uDCBB\uDCBD-\uDCC3\uDCC5-\uDCCF\uDCEA-\uDD03\uDD1E-\uDD37\uDD52-\uDD6B\uDD86-\uDD9F\uDDBA-\uDDD3\uDDEE-\uDE07\uDE22-\uDE3B\uDE56-\uDE6F\uDE8A-\uDEA5\uDEC2-\uDEDA\uDEDC-\uDEE1\uDEFC-\uDF14\uDF16-\uDF1B\uDF36-\uDF4E\uDF50-\uDF55\uDF70-\uDF88\uDF8A-\uDF8F\uDFAA-\uDFC2\uDFC4-\uDFC9\uDFCB]|\uD83A[\uDD22-\uDD43]))
Note that a regex implementation of \p{Lu} or \p{Pl} actually calls a
non standard function to test the value.
The character classes shown here are done differently and are linear, standard
and pretty slow, when jammed into mostly a single class.
Some insight on how a Regex engine (in general) implements Unicode Property Classes:
Examine these performance characteristics between the property
and the class block (like above)
Regex1: LONG CLASS
< none >
Completed iterations: 50 / 50 ( x 1 )
Matches found per iteration: 1788
Elapsed Time: 0.73 s, 727.58 ms, 727584 µs
Matches per sec: 122,872
Regex2: \p{Lu}
Options: < ICU - none >
Completed iterations: 50 / 50 ( x 1 )
Matches found per iteration: 1788
Elapsed Time: 0.07 s, 65.32 ms, 65323 µs
Matches per sec: 1,368,583
Wow what a difference !!
Lets see how Properties might be implemented
Array of Pointers [ 10FFFF ] where each index is is a Code Point
Each pointer in the Array is to a structure of classification.
A Classification structure contains fixed field elemets.
Some are NULL and do not pertain.
Some contain category classifications.
Example : General Category
This is a bitmapped element that uses 17 out of 64 bits.
Whatever this Code Point supports has bit(s) set as a mask.
-Close_Punctuation
-Connector_Punctuation
-Control
-Currency_Symbol
-Dash_Punctuation
-Decimal_Number
-Enclosing_Mark
-Final_Punctuation
-Format
-Initial_Punctuation
-Letter_Number
-Line_Separator
-Lowercase_Letter
-Math_Symbol
-Modifier_Letter
-Modifier_Symbol
-Nonspacing_Mark
-Open_Punctuation
-Other_Letter
-Other_Number
-Other_Punctuation
-Other_Symbol
-Paragraph_Separator
-Private_Use
-Space_Separator
-Spacing_Mark
-Surrogate
-Titlecase_Letter
-Unassigned
-Uppercase_Letter
When a regex is parsed with something like this \p{Lu} it
is translated directly into
Classification Structure element offset : General Category
A check of that element for bit item : Uppercase_Letter
Another example, when a regex is parsed with punctuation property \p{P} it
is translated into
Classification Structure element offset : General Category
A check of that element for any of these items bits, which are joined into a mask :
-Close_Punctuation
-Connector_Punctuation
-Dash_Punctuation
-Final_Punctuation
-Initial_Punctuation
-Open_Punctuation
-Other_Punctuation
The offset and bit or bit(mask) are stored as a regex step for that property.
The lookup table is created once for all Unicode Code Points using this array.
When a character is checked, it is as simple as using the CP as an index into
this array and checking the Classification Structure's specific element for that bit(mask).
This structure is expandable and indirect to provide much more complex look ups. This is just a simple example.
Compare that direct lookup with a character class search :
All classes are a linear list of items searched from left to right.
In this comparison, given our target string contains only the complete
Upper Case Unicode Letters only, the law of averages would predict that
half of the items in the class would have to be ranged checked
to find a match.
This is a huge disadvantage in performance.
However, if the lookup tables are not there or are not up to date
with the latest Unicode release (12 as of this date)
then this would be the only way.
In fact, it is mostly the only way to get the complete Emoji
characters as there is no specific property (or reasoning) to their assignment.

You can also use:
function myFunction() {
var str = "xq234";
var allowChars = "^[a-zA-ZÀ-ÿ]+$";
var res = str.match(allowChars);
if(!str.match(allowChars)){
res="true";
}
else {
res="false";
}
document.getElementById("demo").innerHTML = res;

Develop Reference

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