Regex Replace Tool

Powerful regex find and replace tool. Use regular expressions to search and replace text patterns.
Enter regex pattern without delimiters
Use $1, $2 for capture groups
Common Patterns:
  • \d+ - Numbers
  • [a-zA-Z]+ - Letters
  • \s+ - Whitespace
  • ^\s+|\s+$ - Trim spaces
  • \b\w+@\w+\.\w+\b - Email
Replacement Examples:
  • $1 - First capture group
  • $& - Entire match
  • \n - Newline
  • \t - Tab

Professional Regular Expression Find & Replace

Perform advanced text processing with powerful regular expressions, capture groups, and flexible pattern matching for complex search and replace operations. Essential for developers, content editors, and data analysts requiring sophisticated text manipulation, code refactoring, or bulk content transformation.

Our robust regex engine supports full PCRE syntax with backreferences, lookaheads, and advanced pattern matching while providing detailed error reporting and match statistics. Perfect for code cleanup, data formatting, content migration, or any advanced text processing task requiring pattern-based replacement capabilities.

Advanced Pattern Matching

Powerful regex with capture groups and flags

Advanced Regex Features

Full PCRE Support

Complete Perl-Compatible Regular Expression syntax including lookaheads, lookbehinds, atomic groups, and advanced pattern constructs.

Regex Flags & Modifiers

Support for case-insensitive, multiline, global, and other modifier flags to customize pattern matching behavior for specific use cases.

Capture Groups & Backreferences

Use capture groups to extract matched portions and reference them in replacements with $1, $2 syntax for dynamic text transformation.

Match Statistics

Real-time feedback showing number of matches found and replaced, helping verify operation success and pattern effectiveness.

Development & Content Applications

Code Refactoring

Rename variables, update function calls, modernize syntax, or perform bulk code transformations across large codebases with precise pattern matching.

Data Cleaning

Clean and format data exports, standardize phone numbers, normalize addresses, or extract specific information from unstructured text.

Content Processing

Update URLs in documentation, modify markup formatting, standardize text styles, or perform bulk content migrations and transformations.

Regular Expression Reference

Common Patterns
  • \d+: Numbers
  • [a-zA-Z]+: Letters only
  • \s+: Whitespace
  • \w+@\w+\.\w+: Email pattern
Replacement Syntax
  • $1, $2: Capture groups
  • $&: Entire match
  • \n: Newline character
  • \t: Tab character
Regex Tips
  • Test patterns carefully
  • Use flags for control
  • Escape special characters
  • Start with simple patterns

Frequently Asked Questions

Use parentheses in your pattern to create capture groups, then reference them in the replacement with $1, $2, etc. For example, pattern "(\w+) (\w+)" with replacement "$2, $1" will swap two words.

Common flags include 'i' for case-insensitive matching, 'm' for multiline mode, 'g' for global matching, and 's' for dot-all mode. Use 'i' when case doesn't matter, 'm' for line-by-line processing, and combine as needed.

Start with a small sample of your text to test patterns. The tool shows match count, so you can verify your pattern finds the expected number of matches before performing the replacement operation.