The Date Regex Python Validator lets you verify if a given input matches common date formats like YYYY-MM-DD, MM/DD/YYYY, or DD-MM-YYYY. It’s especially useful in data collection systems, web apps, and form validation logic. Combine this tool with the Numbers Regex Python Validator to validate quantities alongside timestamps, or the Email Regex Python Validator for full user profile validation.
[A-Z]
: uppercase letters[a-z]
: lowercase letters[0-9]
: digits\.
: a literal dot+
: one or more of the preceding*
: zero or more of the preceding?
: optional (zero or one)^
: start of string$
: end of string
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Regular Expression - Documentation
What Is a Date Regex?
A date regex helps you match string values that represent valid dates. Common formats include:
YYYY-MM-DD → 2024-12-31
MM/DD/YYYY → 12/31/2024
DD-MM-YYYY → 31-12-2024
Regex ensures the structure is correct, but not the logical validity (e.g. 31st Feb is still “valid” structurally).
Regex Patterns for Common Date Formats
ISO Format (YYYY-MM-DD)
US Format (MM/DD/YYYY)
European Format (DD-MM-YYYY)
Python Code Example
Use Cases
Form Validation: Validate birthdates, event dates, or booking inputs
APIs: Enforce valid date strings in payloads
Databases: Pre-validate date strings before insertion
Combine with: Email Regex Python Validator, UUID Regex Python Validator, or Phone Number Regex Python Validator
Pro Tips
Use datetime.strptime alongside regex for real date validation
Regex won’t catch logical errors like “2025-02-30”
Use non-capturing groups if you’re optimizing for performance
Always test edge cases: leap years, end of month, etc.
Combine with Numbers Regex Python Validator to validate numeric fields in reports