Technical

Regex Generator

Skip the regex documentation. Describe your pattern in plain English and get a tested, explained regex you can drop straight into your code.

AI-generated output

Describe your matching requirement above and click Generate to get your regex.

How it works

Describe in plain English what you need to match — for example, "UK postcodes", "email addresses that end in .co.uk", or "lines that start with a timestamp in HH:MM format".

Optionally provide example strings that should match, and examples that should not. This dramatically improves accuracy and lets the AI verify the pattern against real cases.

You get a working regex pattern for your chosen language, a breakdown of what each part does, the flags to use, and common edge cases to watch for.

Practical example

For example, ask for a regex that matches UK mobile numbers in either 07xxx format or +447xxx format, and the generator will return a pattern like ^(\+447|07)\d{9}$ — with a full explanation of each component and notes on international dialling variants.

You can then immediately use it in your validation code, with confidence about what it will and will not match.

Frequently asked questions

How accurate are the generated regex patterns?

For common patterns (emails, phone numbers, dates, postcodes), accuracy is very high. For unusual or highly specific patterns, providing match/no-match examples significantly improves the result. Always test the output against your real data before deploying to production.

Why does the language matter?

Regex syntax varies between languages. JavaScript uses forward-slash delimiters and has no lookbehind in older engines. Python's re module handles named groups differently. Java requires double-escaping backslashes in strings. Selecting your language ensures the pattern and usage code are correct for your environment.

Can I request partial matching vs. full string matching?

Yes — just specify it in your description. For example: "match email addresses anywhere in a paragraph of text" vs. "validate that an entire string is a valid email address". The former will omit anchors (^ and $); the latter will include them.

What if the regex doesn't work for my use case?

Try adding more specific examples in the "should match" and "should not match" fields, and be more precise in your description. If a pattern is genuinely ambiguous (like "phone numbers" without specifying country), the AI will make assumptions — so the more context you give, the better.

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