Regex Tester

Test regular expressions with live matching, highlights, and capture groups. Runs entirely in your browser.

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    What Are Regular Expressions (Regex) and Why Every Developer Needs Them

    Regular expressions (regex or regexp) are powerful pattern-matching sequences used to search, validate, extract, and replace text in strings. They're supported in virtually every programming language (JavaScript, Python, Java, PHP, Go, Ruby, C#) and in tools like grep, sed, awk, VS Code search, and database queries.

    Essential Regex Syntax Reference

    Common Regex Patterns for Developers

    Regex Flags Explained

    Frequently Asked Questions

    Enter a regular expression pattern and test string, and the tool uses JavaScript's RegExp engine to find matches in real time. Matches are highlighted in the text, and capture groups are extracted and displayed separately. All processing happens in your browser — no data is sent to any server.
    This tool supports all standard JavaScript regex flags: g (global — find all matches), i (case-insensitive), m (multiline — ^ and $ match line boundaries), s (dotAll — dot matches newlines), u (Unicode), and y (sticky). You can combine multiple flags to customize matching behavior.
    This tool uses JavaScript's regex engine, which follows ECMAScript standards. Most basic patterns (character classes, quantifiers, groups) work identically in Python, Java, C#, and PHP. However, advanced features like lookbehind, named groups, and Unicode properties may have syntax differences across languages.
    Capture groups are portions of a regex pattern enclosed in parentheses (). They extract specific parts of a match. For example, (\d{4})-(\d{2})-(\d{2}) on "2024-01-15" captures "2024", "01", and "15" as separate groups. Use (?:...) for non-capturing groups when you need grouping without extraction.
    Yes. All regex matching is performed entirely in your browser using JavaScript's built-in RegExp engine. Your patterns and test strings are never sent to any server or stored anywhere. You can safely test patterns against sensitive data like log entries, API responses, or personal information.