Regex Pattern Validator & Tester

Test and validate regex patterns instantly with real-time matching, syntax highlighting, and match extraction. Perfect for developers debugging JavaScript, Python, PHP, and other language regex patterns. Get instant feedback on pattern validity and see live matches!

What is a Regex Pattern Validator?

A regex pattern validator tests regular expressions against sample text to verify pattern correctness and show matches. Examples:

  • Email validation: /^[^\s@]+@[^\s@]+\.[^\s@]+$/
  • Phone number: /^\(\d3\)\s\d3-\d4$/
  • URL matching: /https?:\/\/[\w\.-]+/

Why Use Our Regex Validator?

  • ✅ Real-time Pattern Testing
  • ✅ Live Match Highlighting
  • ✅ Syntax Error Detection
  • ✅ Multi-language Support (JS, Python, PHP)
  • ✅ Match Group Extraction
  • ✅ Flag Support (global, case-insensitive, multiline)

Advanced Features

Real-Time Validation

  • Instant pattern validation as you type
  • Live highlighting of matches in test text
  • Error detection with helpful messages

Match Information

  • Extract all matches with positions
  • Capture group details
  • Match count and statistics

How to Use the Regex Validator

  • Enter your regex pattern in the pattern field
  • Add test text to validate against
  • Choose appropriate flags (global, case-insensitive, etc.)
  • See real-time matches highlighted in the text
  • Review match details and captured groups

Related Tools

Frequently Asked Questions

How to test regex patterns in JavaScript?

// JavaScript regex testing
const pattern = /^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+.[a-zA-Z]{2,}$/;
const email = "test@example.com";
console.log(pattern.test(email)); // true

How to validate regex in Python?

# Python regex validation
import re
pattern = r'^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+.[a-zA-Z]{2,}$'
text = "test@example.com"
match = re.match(pattern, text)
print(bool(match))  # True

What are regex flags and how do they work?

Regex flags modify pattern behavior: g (global) finds all matches,i (case-insensitive) ignores case, m (multiline) treats ^ and $ as line boundaries.

How to debug complex regex patterns?

Break complex patterns into smaller parts, test each component separately, use our validator to see real-time matches, and check capture groups to understand what each part captures.