Regex Tester
Our Regex Tester lets you write a regular expression and see, instantly, everywhere it matches inside a block of text. Matches are highlighted inline as you type, and every match is broken out below with its position and any capture groups — no install, no account, nothing sent to a server.
How to Use the Regex Tester
1. Write Your Pattern
- Type a regular expression into the pattern field — no need to wrap it in slashes
- Toggle the flags you need:
g(global),i(ignore case),m(multiline),s(dotall) - Invalid patterns show the exact JavaScript error instead of failing silently
2. Paste Your Test String
- Drop in any block of text — log lines, sample data, a whole document
- Matches are highlighted inline the moment you stop typing
- Nothing about the pattern or the text ever leaves your browser
3. Read the Match List
- Each match is listed with its character index and the exact matched substring
- Capture groups (parenthesized parts of the pattern) are listed underneath each match
- A running match count tells you at a glance how many hits the pattern found
Key Features
Live Highlighting
- Inline
<mark>-style highlighting inside the rendered test string - Updates as you edit the pattern, the flags, or the text
- Highlights every match, not just the first, when
gis enabled
Flag Support
g— global, find every match instead of stopping at the firsti— case-insensitive matchingm—^and$match the start/end of each line, not just the whole strings—.also matches newline characters
Capture Groups
- Numbered groups from
(...)are extracted and shown per match - Groups that didn't participate in a match are labeled clearly instead of showing blank
Error Handling
- Malformed patterns (unbalanced parentheses, invalid character classes, bad quantifiers) are caught
- The browser's own
RegExperror message is shown, so you know exactly what to fix
Use Cases
1. Web Development
- Validating form input patterns before wiring them into production code
- Debugging why a regex isn't matching the way you expect
- Prototyping extraction patterns for log parsing or scraping
2. Data Cleaning
- Finding inconsistent formatting across a dataset
- Testing a pattern against edge cases before running it over a large file
- Confirming capture groups line up with the fields you actually want
3. Learning Regex
- Seeing immediately how a flag changes matching behavior
- Building up a complex pattern piece by piece with instant feedback
- Understanding why a pattern over- or under-matches
Technical Features
- Native Engine: Uses the browser's built-in JavaScript
RegExp, not a reimplementation, so behavior matches what you'll get in real JS code - Real-Time Processing: Highlighting and the match list update on every keystroke
- Safe Zero-Length Handling: Patterns that can match an empty string (like
a*) don't hang the page - Error Handling: Invalid syntax is reported clearly instead of throwing an uncaught exception
Why Use Our Regex Tester
1. No Server Round-Trip
- Matching happens instantly in your browser — no network latency, no rate limits
- Works the same offline as it does online
2. Accurate to JavaScript
- If you're writing a regex for JS code (browser or Node), this tests the exact engine you'll ship with
- Some features differ slightly from PCRE, Python's
re, or other flavors — this tool reflects JS behavior specifically
3. Privacy Focused
- Client-side processing only
- No data storage, no logging, no analytics on what you type into the pattern or text fields
Understanding Regular Expressions
What Is a Regular Expression?
A regular expression (regex) is a compact pattern language for describing sets of strings — used for validating input, searching text, and extracting structured pieces out of unstructured text.
Common Regex Building Blocks
- Character classes:
[a-z],\d,\wmatch a category of characters - Quantifiers:
*,+,?,{n,m}control how many times something repeats - Anchors:
^and$pin a match to the start or end of a string (or line, withm) - Groups:
(...)capture a sub-match;(?:...)groups without capturing
Best Practices
- Start narrow, then widen: A pattern that's too permissive will match things you didn't intend
- Test edge cases: Empty strings, extra whitespace, and unexpected casing catch most regex bugs
- Use groups deliberately: Only capture what you actually need to extract
- Watch for catastrophic backtracking: Nested quantifiers on overlapping patterns can be slow on pathological input
Benefits
- Precision: A well-built regex validates or extracts exactly the shape of data you care about
- Portability: The same pattern language (with minor flavor differences) works across most programming languages
- Speed: Once compiled, regex matching is fast even for large chunks of text
Remember: a regex that matches your test cases isn't automatically correct for every input — always test against a few unusual or malformed examples, not just the happy path.