Regex Generator

Generate a regular expression by clicking the pieces you need — digits, letters, groups, repetition, lookarounds — and the correct syntax is written for you. Free, offline, and entirely in your browser.

Generated pattern

//gm

Sequence

Empty — add a block below.

Add a block

Anchors

Character Types

Custom

Groups & Assertions

Test text

Live preview

[email protected] not-an-email

0 matches

Export to Playground

Already have a pattern? Check it in the regex tester, or browse 100+ ready-made patterns.

In short

A regex generator builds a regular expression from choices you make in an interface rather than syntax you type. Build Regex uses a deterministic visual builder — you add blocks for each part of the pattern and set how often each repeats, and the tool compiles the exact expression those choices describe, with the escaping and grouping handled for you.

How to generate a regex

  1. Describe the shape of your text. Write down in plain words what the text looks like — for example "three digits, a hyphen, then four digits, and nothing else". Every block you add to the generator maps to one clause of that sentence.
  2. Add blocks from the palette. Click blocks for the pieces you named: digit, letter, whitespace, a literal character, a custom character set, or a group. They are added to the pattern in order, left to right.
  3. Set how many times each block repeats. Give each block a quantifier — once, optional, one or more, or an exact count. The generator writes the correct quantifier syntax, including the lazy form, so you never have to remember whether the brace goes before or after.
  4. Add anchors and lookarounds. Anchor the pattern with start-of-string and end-of-string blocks when the whole input must match, and add lookahead or lookbehind blocks when a condition must hold without being part of the match.
  5. Test the generated pattern and export it. The generated regex updates live and runs against your sample text underneath. When the matches look right, copy the pattern or send it to the regex tester for a fuller check against real data.

A worked example

Say you need to validate an internal ticket reference that looks likeENG-2481: two to four uppercase letters, a hyphen, then three or more digits, and nothing else. In plain words that is five clauses, and each becomes one block:

  1. Start of string^
  2. Uppercase letter, 2 to 4 times[A-Z]{2,4}
  3. Literal hyphen-
  4. Digit, one or more times\d{3,}
  5. End of string$

The generator writes ^[A-Z]{2,4}-\d{3,}$. Note what it handled for you: the hyphen needed no escaping outside a character class, the brace quantifier attached to the right token, and the anchors made the pattern reject xxENG-2481yy rather than quietly accepting it — the single most common validation bug.

What the generator gets right for you

  • Escaping. Literal ., +, ?,(, and [ are escaped where they need to be and left alone where they do not — inside a character class, . is already literal.
  • Quantifier scope. A quantifier applies to the token immediately before it, so ab+ and (ab)+ mean different things. Attaching the quantifier to a block makes the intended scope explicit.
  • Group type. Non-capturing groups (?:...) are used when you are grouping for structure, so capture numbering stays meaningful.
  • Balanced syntax. Nested groups and lookarounds always close correctly — no more "unterminated group" errors from a missing parenthesis.

What people build with it

Form and API validation

Postcodes, phone numbers, usernames, order references, and password policies. Anchor the pattern at both ends and the generator produces something you can drop straight into a validator.

Strong password pattern →

Log and text extraction

Pull timestamps, IP addresses, status codes, or request IDs out of unstructured log lines using capture groups you can name.

IPv4 pattern →

Search and replace across a codebase

Build a pattern with capture groups, then reuse those groups in the replacement to restructure text rather than just delete it.

Preview replacements →

Data cleaning

Normalise whitespace, strip control characters, standardise date separators, or split records on a delimiter that varies.

Whitespace pattern →

Config and tooling rules

Nginx location blocks, CI path filters, Google Analytics filters, and editor find-and-replace all take regular expressions.

Token reference →

Learning the syntax

Watch the generated pattern change as you toggle blocks. Seeing (?:...) appear the moment you group without capturing teaches the syntax faster than reading about it.

Regex course →

When to write it by hand instead

A visual generator is fastest for the patterns most people need most of the time. Two cases are still quicker by hand:

  • Patterns you can already picture. If you know you want\s{2,}, typing it into thetester beats clicking three blocks.
  • Engine-specific features. Atomic groups, possessive quantifiers, recursion, and conditional patterns exist in PCRE but not in JavaScript, so they are outside what the builder emits. Write those by hand against your target engine.

For everything in between — and especially for anything with nested groups or several lookaheads — building it visually and reading the compiled result is both faster and less error-prone. Once you have a pattern, take it to thetester and check it against text that should not match as well as text that should.

Regex Generator Questions

What is a regex generator?

A regex generator is a tool that builds a regular expression for you from choices you make in an interface, instead of requiring you to type the syntax by hand. You pick the pieces you need — a digit, a letter, an optional hyphen, a group that repeats three times — and the generator assembles the correct pattern, including the escaping, quantifier placement, and grouping that are easy to get wrong manually.

Does Build Regex generate patterns with AI?

No. Build Regex uses a deterministic visual builder rather than an AI model. You choose blocks and quantifiers and the tool compiles exactly the pattern those choices describe, which means the output is predictable and reproducible — the same choices always produce the same regex. Nothing is sent to a model or a server, so the tool works offline and your data stays local.

Is the regex generator free?

Yes, completely. There is no account, no rate limit, and no paid tier. The generator, the tester, the pattern library, the course, and the challenges are all free to use.

Can I generate a regex from an example string?

Not automatically — and that is deliberate, because a pattern inferred from one example is usually either too strict or too loose to be safe in production. The practical route is to describe the shape of the text in words, build that shape with blocks, then paste your example into the tester to confirm it matches and that near-misses are correctly rejected.

Which regex flavour does the generator produce?

It produces JavaScript-compatible (ECMAScript) syntax, which is also valid in Python, Java, PHP, C#, and Ruby for everything the builder emits — character classes, quantifiers, groups, alternation, anchors, and lookaround. The one thing to check when porting is lookbehind, which Go's RE2 engine does not support at all.

How do I turn the generated pattern into working code?

Copy the pattern and wrap it in your language's regex constructor: a literal between slashes in JavaScript, a raw string passed to re.compile in Python, Pattern.compile in Java, or preg_match in PHP. Use a raw string wherever your language offers one so you do not have to double every backslash. Each pattern in the library shows ready-to-paste snippets for a dozen languages.

What is the difference between the generator and the tester?

The generator is for writing a pattern when you do not yet have one — you assemble it from blocks. The tester is for checking a pattern you already have against real sample text, with match highlighting and capture-group inspection. Most work flows from one to the other: build it in the generator, then verify it in the tester.