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tool.regex.pattern
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tool.regex.testText
tool.regex.matchResults0tool.regex.matchesSuffix
tool.regex.clickTest
ℹ️ tool.regex.commonPatterns
\d+ - tool.regex.oneOrMoreDigits
[a-zA-Z]+ - tool.regex.matchLetters
\w+ - tool.regex.matchWordChars
\s+ - tool.regex.matchWhitespace
[\w.-]+@[\w.-]+\.\w+ - tool.regex.matchEmail
^https?:// - tool.regex.matchHttp
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Regular expressions (regex) are powerful patterns for matching, searching, and manipulating text. Our Regex tool provides a comprehensive reference of commonly used regex patterns along with an interactive tester.

Whether you need to validate email addresses, extract phone numbers, parse URLs, or sanitize user input, our collection of battle-tested patterns covers the most common scenarios. Each pattern comes with a clear explanation and examples.

The built-in regex tester lets you write and test patterns in real-time against your own test strings. See matches highlighted instantly, understand capture groups, and debug complex patterns before using them in your code.

Frequently Asked Questions

What is a regular expression?

A regular expression is a sequence of characters that defines a search pattern. It's used for string matching, validation, search-and-replace operations, and text parsing.

How do I test a regex pattern?

Paste your pattern in the regex field and your test string in the input area. The tool will highlight all matches in real-time and show capture group details.

Are regex patterns the same in all languages?

Most basic patterns are universal, but some features (lookbehind, named groups, Unicode properties) vary between regex engines like JavaScript, Python, Java, and PCRE.