Regex Generator
Regex Pattern Generator
Select a use case to generate a regular expression pattern. Customize options to match your requirements.
Custom Pattern Builder
Build a custom regex by combining pattern elements.
How to Use This Tool
- Select a Use Case: Choose from categories like Contact Information, Web & URLs, Network, Date & Time, Validation, Financial, or Text Patterns. Each generates a specialized regex pattern.
- Configure Options: Some patterns offer customization—strictness levels, optional components, or format variations. Adjust settings to match your specific requirements.
- Review the Pattern: The generated regex appears with an explanation of what it matches. Test it against sample inputs to verify it catches valid cases and rejects invalid ones.
- Copy and Use: Copy the pattern for use in your code. Remember to adjust flags (g, i, m) based on your needs—case-insensitivity, global matching, multiline mode.
Technical Details
Generated patterns balance strictness with practicality. Email patterns follow simplified RFC 5322, matching common addresses while rejecting obviously invalid ones. URL patterns handle http/https, optional www, paths, and query strings. Phone patterns accommodate various formats—with or without country codes, spaces, dashes, or parentheses.
Date patterns validate format structure but can't fully validate calendar logic (regex can't know February has 28/29 days). For strict validation, use regex for format checking, then parse with a date library. IP address patterns validate octet structure and ranges. Password patterns check for required character types (uppercase, lowercase, digits, symbols) and minimum length. Each pattern is tested against common valid and invalid inputs before inclusion.
Common Mistakes to Avoid
- Over-Relying on Regex for Validation: Regex validates format, not semantics. An email matching the pattern might not exist. A credit card matching the format might fail Luhn check. Use regex as a first filter, then validate with specialized libraries or APIs.
- Anchoring Issues: Most generated patterns include ^ (start) and $ (end) anchors for full-string matching. If you need to find matches within larger text, remove the anchors. Without anchors, "email" pattern would match email addresses embedded in prose.
- Locale-Specific Patterns: Phone numbers, postal codes, and dates vary by country. The US phone pattern won't match UK numbers; the US date pattern (MM/DD/YYYY) conflicts with EU format (DD/MM/YYYY). Choose the correct locale pattern.
Related Tools
Have an existing regex you need to understand? Use our Regex Explainer for plain English breakdowns. For a library of tested patterns, browse the Regex Pattern Library.
Frequently Asked Questions
Why doesn't the email regex match all valid emails?
Full RFC 5322 compliance would create an extremely complex regex that most systems don't need. The generated pattern matches 99%+ of real-world email addresses while rejecting obviously invalid formats. For edge cases, use a proper email validation library.
Can regex fully validate a date like February 30?
No—regex validates string format, not date logic. "02/30/2024" matches the date format pattern but isn't a real date. Use regex to validate format, then parse with a date library (Date, moment.js, date-fns) to validate the actual date exists.
How do I make patterns case-insensitive?
Add the i flag after the pattern. In JavaScript, /pattern/i makes the entire match case-insensitive. Alternatively, use [a-zA-Z] instead of [a-z] in character classes, or (?i) inline flag in languages that support it.