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Describe the pattern in plain English and AI writes the regex, explains every token and turns someone else's pattern back into words. Lookaheads and named groups included. Say which language it runs in, because Python, JavaScript and Go spell the same pattern differently. No human ever really learned regex anyway; we all just pretended.
checked 2026-10-14 · by dan scutaru
the tools that earn the verdict — no pay-to-win
A regex tester is where an AI-written pattern earns your trust. Paste it into the free tester above, set the flavor to the language your code runs in, and add unit tests both ways: strings that must match and strings that must not. The cases that catch most mistakes are boring: an empty string, an extra prefix, one digit too many, a trailing newline, lowercase where you expected capitals.
Ask the AI for test cases too, then add a few you chose yourself without looking at its list. Passing tests proves the cases you wrote down, not every input your code will ever see. The tester above runs its matching in your browser, so try your real data there and give the chatbot made-up examples instead.
You don't need to write regex to check it, but you do need to read about twenty tokens. Classes: \d a digit, \w a letter, digit or underscore, \s whitespace, . any character but a newline, [abc] one of these, [^abc] anything else. Anchors: ^ start, $ end, \b a word boundary. Quantifiers: ? optional, * zero or more, + one or more, {2,4} two to four, and a ? after any of them makes it lazy. Groups: (...) captures, (?:...) only groups, | means or. Lookarounds: (?=...) followed by, (?!...) not followed by.
A backslash makes . * + ? ( ) [ ] { } ^ $ | and \ literal. Flags change all of the above: m makes ^ and $ work per line, s lets the dot cross line breaks, i ignores case.
The same idea is spelled differently in each language, and a pattern that works in one can be a syntax error in the next. A named group is (?<id>...) in JavaScript and (?P<id>...) in Python, and each rejects the other's form. JavaScript allows a lookbehind of any length; Python's must be fixed width. Go has no lookarounds or backreferences, in exchange for matching time that grows only linearly with the input.
Shared tokens drift too. Python's \d matches any Unicode digit, Arabic-Indic ones included; JavaScript's means 0 to 9. Python's $ also matches before a final newline, so use fullmatch for whole-input checks. Name the language and version in your prompt and pick the same flavor in the tester. In an editor, the coding assistant above writes the pattern next to the code that runs it, and has a free plan.
A regex for a phone number checks the shape, not whether the number exists. Formats differ by country and people type spaces, dots, dashes and brackets, so strip those first and match the digits against the one format you store. Real validation across countries needs a phone-number library that knows the national rules.
Email is worse. The HTML standard publishes the pattern browsers use for email fields and calls it a willful violation of the email RFC, whose full syntax it considers impractical. Even that pattern accepts an address with no dot after the @ and two dots in a row before it. The only real test of an address is a confirmation message. Dates have the same limit: a pattern for YYYY-MM-DD happily accepts February 31.
Paste the pattern, say which language it came from, and ask for a token-by-token walkthrough plus three strings it matches and three it rejects. Any chat assistant above does this, and it is the fastest way to inherit a 200-character validation rule without fear. Ask specifically what it does with an empty string and with a trailing newline.
An explanation is a description, not proof. Run the strings it gave you in the tester above; the tester's own documentation makes the same point, that an explanation does not show a pattern meets your requirements. That tester's explanation panel now carries a Pro badge but still showed in full on the free plan when we checked, and matching and unit tests stay free. For whole files rather than one line, see AI that explains a codebase.
Regex is short for regular expression: a compact pattern language for finding, checking and replacing text, such as every line that starts with a date. Most programming languages, code editors and command-line search tools support it, each in a slightly different flavor. AI helps in both directions: it writes a pattern from your description and reads one back to you in words.
^[0-9]+$ matches a string made only of the digits 0 to 9. Prefer [0-9] to \d, which in Python also matches digits from other scripts, and in Python use fullmatch, because $ there also accepts a trailing newline. For an optional minus sign and decimals, use ^-?[0-9]+(\.[0-9]+)?$, and decide up front whether "1,000" and "1e5" count as numbers.
Put what must not come next inside (?!...). For example, ^(?!.*\bdraft\b).*$ matches any line that does not contain the word draft, while "redraft" still passes because \b needs a word boundary. It works in JavaScript and Python, but not in Go, whose engine has no lookarounds: there you match the lines to exclude and invert the result in code.
Sometimes. A builder that works from sample text suits the case where you have examples but can't put the rule into words: you mark the parts you want, it proposes a pattern, and the free one above also writes the code to use it. AI is better when you can describe the rule, exceptions included. Either way, the result goes through the tester above.
It is what happens when a pattern with nested or overlapping repetition, such as (a+)+$, meets input that almost matches: the engine retries so many paths that the CPU stalls. It has taken down big sites: a whitespace-trimming regex caused a 34-minute Stack Overflow outage in 2016, and one firewall rule took Cloudflare down for 27 minutes in 2019. Ask the AI whether its pattern can backtrack badly, and treat it as a security question.