Indian IFSC Code Regex for Python

What this pattern does

This page provides a lightweight, single-purpose regular expression for matching indian ifsc code, 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

# Indian IFSC Code
# ReDoS-safe | RegexVault — Finance > Bank Identifiers

import re

indian_ifsc_code_pattern = re.compile(r'^[A-Z]{4}0[A-Z0-9]{6}$')

def validate_indian_ifsc_code(value: str) -> bool:
    return bool(indian_ifsc_code_pattern.fullmatch(value))

# Example
print(validate_indian_ifsc_code("SBIN0001234"))  # 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

The 5th character is always 0 (zero, reserved for future use). Used for NEFT, RTGS, and IMPS transfers. The Reserve Bank of India maintains the authoritative IFSC directory.