Date Regex Python Validator

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Date Regex Python Validator

Search...

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Date Regex Python Validator

Date Regex Python Validator

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.

01/28/2024
Possible security issues
This regex appears to be safe.
Explanation
  • [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
Match information
Match 1: "01/28/2024" at index 0
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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


  1. ISO Format (YYYY-MM-DD)

    ^\d{4}-(0[1-9]|1[0-2])-(0[1-9]|[12][0-9]|3[01])$


  2. US Format (MM/DD/YYYY)

    ^(0[1-9]|1[0-2])/([0][1-9]|[12][0-9]|3[01])/\d{4}$


  3. European Format (DD-MM-YYYY)


    ^([0][1-9]|[12][0-9]|3[01])-(0[1-9]|1[0-2])-\d{4}$



Python Code Example


import re

def is_valid_date(date_str):
    pattern = re.compile(
        r'^\d{4}-(0[1-9]|1[0-2])-(0[1-9]|[12][0-9]|3[01])$'
    )
    return bool(pattern.fullmatch(date_str))

# Test cases
dates = ["2025-06-12", "2025-02-29", "1999-13-01", "2025-06-31"]
for date in dates:
    print(f"{date} -> {is_valid_date(date)}")


Use Cases



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


Frequently asked questions

Can this regex detect leap years?×
No, regex can only validate structure. Use Python’s datetime module for leap year checks.
What happens if someone enters 13 as a month?+
Can I use this in a Django form validator?+
How do I support multiple formats at once?+
What if I want to allow empty or optional date fields?+