Brazilian CEP (Código de Endereçamento Postal) Regex for Python
/^([0-9]{5})-?([0-9]{3})$/What this pattern does
This page provides a lightweight, single-purpose regular expression for matching brazilian cep (código de endereçamento postal), ported and verified for Python. A rigorously tested regex reduces debugging time and protects your application from edge-case failures. The snippet below is ready to drop into your Python project — whether you're validating in a Django view, a FastAPI endpoint, or a standalone data processing script.
Python Implementation
# Brazilian CEP (Código de Endereçamento Postal)
# ReDoS-safe | RegexVault — Localization > Postal Codes
import re
brazilian_cep_cdigo_de_endereamento_postal_pattern = re.compile(r'^([0-9]{5})-?([0-9]{3})$')
def validate_brazilian_cep_cdigo_de_endereamento_postal(value: str) -> bool:
return bool(brazilian_cep_cdigo_de_endereamento_postal_pattern.fullmatch(value))
# Example
print(validate_brazilian_cep_cdigo_de_endereamento_postal("01310-100")) # TrueTest Cases
Matches (Valid) | Rejects (Invalid) |
|---|---|
01310-100 | 01310-10 |
01310100 | 0131010 |
20040-020 | 013101001 |
70297-400 | 01310-1000 |
When to use this pattern
This pattern is drawn from the Localization > Postal Codes 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
Not all 8-digit combinations are valid CEPs. Use the Correios ViaCEP API for real-time validation and address completion. The hyphen is conventional in Brazilian usage.
Technical Notes
Capture group 1: region+district (5 digits), group 2: sector (3 digits). Brazilian CEP ranges: 01000-09999 (São Paulo capital), 20000-28999 (Rio de Janeiro state), 70000-72799 (Brasília). Correios provides the authoritative database.
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