Free Regex Tester Online
Test regular expressions with real-time matching, group highlighting, and pattern explanation.
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How to use the Regex Tester
- 1
Open the Regex Tester tool
- 2
Enter your data or upload your file
- 3
Adjust settings if needed
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Get instant results
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Download or copy your output
Frequently asked questions
Is the Regex Tester free?
Yes, our regex tester is 100% free with no limits, no signup, and no watermarks.
Do I need to create an account?
No. You can use the regex tester without any registration. Just open it and start using it.
Is my data safe?
Yes. Any files you upload are automatically deleted after 5 minutes. We never store, share, or access your data.
Does this work on mobile?
Yes. The regex tester is fully responsive and works on phones, tablets, and desktops.
Is there an API for this?
Yes. All our tools are available as API endpoints for developers. Check our API documentation for details.
Pasting a pattern into a script and re-running it just to see whether it matches is slow, and it gets slower every time the pattern is wrong. A regex tester exists to shortcut that loop: type a pattern and a sample string, and see exactly what matches, where, and why, without touching a script file or a terminal. Here's how the tool actually works, when reaching for it beats writing throwaway test code, and what's worth knowing about how JavaScript's regex engine behaves before you copy a pattern into a different language.
How the Regex Tester Works
The layout is built around the two things you're constantly switching between when debugging a pattern: the expression itself, and the text you're checking it against.
- Type your pattern into the expression field, shown between forward slashes the way JavaScript regex literals are normally written. There's no need to escape the slashes inside the field itself.
- Toggle flags with the g, i, and m buttons next to the pattern. Global finds every match instead of stopping at the first one, case-insensitive ignores letter casing, and multiline changes how ^ and $ behave across line breaks.
- Type or paste your test string underneath. As you type, matches are highlighted directly in the text, each one in a distinct color so you can visually separate overlapping or adjacent matches at a glance.
- Check the match list below the test string for a numbered breakdown: the exact matched text, its character index in the string, and any captured groups it produced.
- Turn on Substitution if you want to see a replacement applied live, which is useful for confirming a find-and-replace pattern does what you expect before running it against real data.
- Reach for one of the built-in presets — email, URL, US phone number, IP address, date in YYYY-MM-DD format, hex color, HTML tag, or number — when you want a working starting point instead of writing a pattern from scratch.
If the pattern is malformed, an error message appears immediately under the expression field instead of leaving you to guess why nothing is matching. Everything here runs as JavaScript's own RegExp engine, entirely in your browser tab — the pattern and test string you type are evaluated on your device and never uploaded anywhere, which matters if the sample text you're testing against contains anything sensitive, like real customer records or log lines pulled from production.
The match list is worth paying attention to beyond just a count. Each entry shows the exact substring that matched, its starting index within the test string, and — when the pattern includes parentheses — every group it captured, labeled in order. That index number matters more than it looks: it's the same offset you'd get back from calling .exec() or .match() on the string in real code, so checking it here against what you expect is a fast way to confirm an off-by-one assumption before it becomes a bug in a slicing or substring operation downstream.
Why Test a Pattern Before Using It
A regex tester earns its place in the workflow in a handful of recurring situations:
- Validating form input. Checking that an email or phone pattern accepts every legitimate format you expect and rejects the malformed ones, before it ends up gatekeeping a signup form in production.
- Writing a rewrite or routing rule. Rules that build URLs or paths from a pattern are easy to get subtly wrong, and a rewrite rule that misfires on live traffic is a much worse place to discover the mistake than a test box.
- Pulling structured data out of unstructured text. Extracting IP addresses from a log file, dates from freeform notes, or IDs from a filename convention — anywhere you need to know exactly what a capture group grabs.
- Cleaning up text in bulk. Stripping HTML tags, normalizing whitespace, or reformatting a list of values with search-and-replace before running it against thousands of rows you can't easily undo.
- Understanding someone else's pattern. Inheriting a regex from an old codebase with no comments is common, and dropping it into a tester with a few sample inputs is usually faster than reading the pattern character by character.
- Checking for over-matching. A pattern that looks correct against one sample line can quietly match far more than intended against a longer or messier real-world string — a quick test against several edge cases catches that before it ships.
The common thread across all of these is that a regex either matches the way you think it does, or it doesn't — and there's no way to know which without running it against real text. A tester turns that check into a few seconds of typing instead of a build-and-run cycle.
Technical Deep Dive: How the Matching Engine Behaves
JavaScript's RegExp engine is what actually runs behind this regex tester, and it has its own quirks worth knowing, especially if the pattern you're testing is destined for a script written in a different language.
| Flag | What it changes | Common use |
|---|---|---|
| g (global) | Finds every match in the string instead of stopping at the first | Counting or replacing all occurrences |
| i (case-insensitive) | Matches letters regardless of upper or lower case | User-typed input where casing isn't reliable |
| m (multiline) | Makes ^ and $ match the start and end of each line, not just the whole string | Line-by-line parsing of pasted text or log data |
One detail that trips people up when writing their own matching loop: with the global flag on, a pattern that can match a zero-length string — something like x* against text with no x's — can match forever at the same position and never advance. This tester specifically guards against that by stopping the loop the moment it hits an empty match, so a zero-width pattern won't lock up the page. It's a small thing, but it's exactly the kind of bug that's invisible until you hit it with the wrong input.
Worth being upfront about a couple of gaps too: the flag toggles here cover g, i, and m, not the full set JavaScript supports — there's no toggle for dotall (s), unicode (u), or sticky (y) mode, so patterns that depend on those need to be tested with that in mind. And because this runs JavaScript's own regex flavor, it isn't a perfect stand-in for every other flavor. Named capture groups, lookbehind support, and some escape sequences differ between JavaScript, PCRE (used by PHP and many command-line tools), and Python's re module. A pattern that matches correctly here should still get a quick sanity check once it's dropped into a codebase running a different regex engine, particularly if it uses lookbehind assertions or possessive quantifiers that JavaScript doesn't fully support the same way.
Quantifier behavior is another spot worth double-checking with real test strings rather than assuming. By default, quantifiers like *, +, and {2,5} are greedy — they'll grab as much text as possible before backtracking to satisfy the rest of the pattern. Adding a ? right after one makes it lazy instead, matching as little as possible. The difference is invisible on simple test strings and very visible on messy ones: a greedy pattern like <.+> against a line with several HTML tags will span from the first opening bracket all the way to the last closing one, not stop at the first tag the way many people expect. Running exactly that kind of edge case through the highlighted preview here is usually faster than reasoning through backtracking behavior in your head.
Regex Tester vs Other Ways to Check a Pattern
There's more than one way to find out whether a regular expression does what you intended:
- A throwaway script in a REPL. Firing up Node or Python and running a pattern against a string works, but it means switching windows, writing boilerplate print statements, and re-running the whole thing for every tweak.
- Testing directly in the application code. Fastest to set up, slowest to debug — you're now stepping through application logic just to isolate whether the regex itself is the problem.
- Your editor's built-in find-and-replace with regex mode. Convenient for a quick one-off replace inside a file you already have open, but it gives you far less visibility into capture groups and match boundaries than a dedicated tester.
- A browser-based regex tester. Nothing to install, immediate visual feedback on every keystroke, and a dedicated view of match indexes and capture groups that a general-purpose editor's find-and-replace doesn't show.
For a quick one-line pattern you're confident about, editor find-and-replace is fine. For anything with capture groups, edge cases, or a global-flag replacement you want to verify before it touches real data, testing it separately first is the safer habit — and a regex tester built for exactly that job beats repurposing a script or an editor pane for it.
Common Questions About Testing Regular Expressions Online
What regex flavor does this tool use?
JavaScript's native RegExp engine, the same one that runs in every modern browser. Behavior generally lines up with what you'd see running the same pattern in a Node.js script, since both use the same underlying engine family.
Why does my pattern behave differently here than in Python or PHP?
Each language implements its own regex engine with its own quirks around named groups, lookbehind, and certain escape sequences. A pattern validated here is a strong starting point, but it's worth a final check once it's running under a different language's engine.
Can I see what each capture group matched?
Yes. Any match with groups shows them listed alongside the full match text, labeled by position, so you can confirm group one grabbed what you expected without adding extra print statements to check.
Does the tool store my pattern or test string anywhere?
No. Matching happens entirely in your browser using JavaScript's built-in engine — nothing you type is sent to a server or saved once you close or refresh the tab.
Why does my global match seem to stop early or behave oddly?
This usually happens with patterns that can match an empty string, which can otherwise cause an infinite loop under the global flag. The tester stops advancing once it detects a zero-length match at the same position, which is the safe, expected behavior rather than a bug.
Are there example patterns I can start from?
Yes, eight common presets are built in — covering email, URL, US phone number, IP address, date, hex color, HTML tag, and generic number matching — each one filling in both the pattern and a matching sample string when clicked.
What's the difference between greedy and lazy matching?
A greedy quantifier matches as much text as it can before backing off; a lazy one (written with a trailing ?) matches as little as it can before extending further. Both are worth testing against a realistic sample string, since the difference between them often doesn't show up until the text has more than one potential match in it.
Why does my pattern match an empty string at every position?
That usually means every part of the pattern is optional — every character class has a * or ? attached, so the engine can satisfy the whole expression with zero characters. Tightening at least one part of the pattern to require actual content usually fixes it.
Related Tools
Patterns you build here often feed straight into other text-processing steps. URL Encode/Decode is useful once you've extracted a URL with a capture group and need it in a safe, encoded form. HTML Entity Encoder covers the reverse situation, cleaning up text you've pulled out of markup with an HTML-tag pattern. JSON Path Finder is worth a look if the data you're really trying to extract lives inside JSON rather than freeform text. And if the pattern started life in someone else's code and you're comparing it against a revised version, Code Diff Tool makes the actual change easy to see side by side.
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