IBAN (Generic, All Countries) Regex for Python

What this pattern does

This page provides a well-structured, multi-part regular expression for matching iban (generic, all countries), 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

# IBAN (Generic, All Countries)
# ReDoS-safe | RegexVault — Finance > Bank Identifiers

import re

iban_generic_all_countries_pattern = re.compile(r'^[A-Z]{2}[0-9]{2}[A-Z0-9]{4,30}$')

def validate_iban_generic_all_countries(value: str) -> bool:
    return bool(iban_generic_all_countries_pattern.fullmatch(value))

# Example
print(validate_iban_generic_all_countries("GB29NWBK60161331926819"))  # True

Test Cases

When to use this pattern

This pattern is drawn from the Finance > Bank Identifiers 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

Structure: 2-char country code + 2 check digits + BBAN (Basic Bank Account Number, country-specific). The check digits are validated via MOD-97 algorithm — regex only validates format. Remove spaces before matching.