Complete guide to using Regex Tester — a free online tool by akousa.net.
Get started in seconds — no signup required
Regular expressions (regex) are powerful pattern-matching sequences used to search, validate, and manipulate text. They are supported in virtually every programming language and text editor. Writing correct regex can be tricky, so a real-time tester lets you experiment with patterns against sample strings and instantly see which parts match, making the development process much faster.
Works directly in your browser — no downloads needed
All processing happens locally — your data never leaves your device
Download your results in multiple formats
Fully responsive design works on any device
Enter your regex pattern in the pattern field and add optional flags like g (global) or i (case-insensitive). Type or paste your test string below. Matches are highlighted in real time as you type. The tool also shows capture groups and flags any syntax errors in your pattern immediately.
Regex Tester is a free, browser-based tool that runs entirely on your device — no signup, no uploads, and no tracking. Built for speed and privacy, it gives you instant results without leaving the page.
Developers, designers, students, and everyday users rely on this tool for quick, accurate results. It's especially popular among people who need a reliable utility without installing software or signing up for an account.
Looking at alternatives to Regex Tester? Here's how we compare to similar tools available online.
| Feature | akousa.net | Other tools |
|---|---|---|
| Price | Free forever | Often paid or freemium |
| Privacy | Runs in your browser | Data sent to servers |
| Signup | Not required | Account often required |
| Ads & tracking | None | Ads and trackers common |
| Usage limits | Unlimited | Daily or file-size limits |
Add Regex Tester to your own website with a single line of code — free, no signup required.
Get embed codeRegex Tester is also available as a developer API for use in your own apps and workflows.
View API docsFormat MAC addresses in different notations (colon, dash, dot).
Compress text using raw Deflate (no zlib header).
Analyze the frequency distribution of bytes in data.
Extract all email addresses from unstructured text.