Generic Payment Card Number (13–19 digits) Regex for Python

What this pattern does

This page provides a well-structured, multi-part regular expression for matching generic payment card number (13–19 digits), ported and verified for Python. Financial data validation has zero tolerance for false negatives — a missed invalid entry can corrupt downstream calculations. The snippet below is ready to drop into your Python project — whether you're validating in a Django view, a FastAPI endpoint, or a standalone data processing script.

Python Implementation

# Generic Payment Card Number (13–19 digits)
# ReDoS-safe | RegexVault — Finance > Card Numbers

import re

generic_payment_card_number_1319_digits_pattern = re.compile(r'^(?:[0-9]{4}([\s-])[0-9]{4}\1[0-9]{4}\1[0-9]{1,7}|[0-9]{13,19})$')

def validate_generic_payment_card_number_1319_digits(value: str) -> bool:
    return bool(generic_payment_card_number_1319_digits_pattern.fullmatch(value))

# Example
print(validate_generic_payment_card_number_1319_digits("4111111111111111"))  # True

Test Cases

When to use this pattern

This pattern is drawn from the Finance > Card Numbers category and carries a ReDoS-safe certification. That matters for Python developers because particularly important in Python web servers where CPU-bound regex operations can stall concurrent request handling. RegexVault audits patterns against known backtracking attack vectors, ensuring you have the necessary context before using this regex in a high-stakes production environment.

Common Pitfalls

Technical Notes

Format only — does not validate the Luhn checksum. Always implement Luhn algorithm validation separately. PCI-DSS prohibits storing full PANs (Primary Account Numbers) without encryption.