Brazilian Phone Number Regex for Python

What this pattern does

This page provides a comprehensive, battle-tested regular expression for matching brazilian phone number, ported and verified for Python. A rigorously tested regex reduces debugging time and protects your application from edge-case failures. 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

# Brazilian Phone Number
# ReDoS-safe | RegexVault — Localization > Phone Numbers

import re

brazilian_phone_number_pattern = re.compile(r'^(?:\+55\s?)?(?:\(?([1-9][1-9])\)?\s?)(?!\1\s?9[0-9]{8}$|11\s?987654321$)(?:9[0-9]{4}-[0-9]{4}|[2-9][0-9]{3}-[0-9]{4}|9[0-9]{8}|[2-9][0-9]{7})$')

def validate_brazilian_phone_number(value: str) -> bool:
    return bool(brazilian_phone_number_pattern.fullmatch(value))

# Example
print(validate_brazilian_phone_number("+55 11 98765-4321"))  # True

Test Cases

When to use this pattern

This pattern is drawn from the Localization > Phone 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

Brazilian DDD codes are 2 digits (11=São Paulo, 21=Rio de Janeiro, etc.). Mobile numbers have 9 digits starting with 9; landlines have 8 digits. +55 is the country code. All mobiles received a 9th digit in 2012-2016.