Brazil Passport OCR with the StructOCR Python SDK

Challenges with Brazil Passport Verification

Brazilian passports, while secure, present unique challenges for automated data extraction. The sophisticated laminate overlay can cause significant glare, and the intricate security backgrounds often interfere with optical character recognition. Accurately reading these details requires advanced algorithms to overcome these visual hurdles, making a specialized passport extraction api essential for reliable processing.

Why StructOCR for Brazil Passports

StructOCR's advanced AI is specifically trained to tackle the nuances of Brazilian passport documents, ensuring high accuracy and speed. Our sophisticated algorithms excel at reducing glare and deciphering complex background patterns. This makes us the premier choice for businesses seeking a reliable passport extraction api and also a leading fintech identity verification software solution. For the fastest Python integration, install the official StructOCR SDK and see the Python SDK documentation.

Built for High-Compliance Industries

• Travel & Aviation: Leverage our solution as a seamless verification solution for travel, drastically reducing check-in and boarding times for Brazilian travelers. This enhances the passenger experience significantly.
• Financial Services: Utilize our powerful fintech identity verification software to automate Know Your Customer (KYC) processes for Brazilian clients. Streamline onboarding and reduce manual review efforts.

Brazil Passport OCR with the Python SDK

The official Python SDK handles file encoding, API communication, and structured passport results. Use the SDK directly or open the FastAPI tab for a server endpoint. Keep your API key in STRUCTOCR_API_KEY.

Prerequisite: `pip install structocr`; set the server-side `STRUCTOCR_API_KEY` environment variable.

Prefer another stack? Open the Node.js SDK + Express integration.

import os
from structocr import StructOCR

# Initialize StructOCR Client
client = StructOCR(os.environ["STRUCTOCR_API_KEY"])

def scan_brazil_passport():
    image_path = "brazil_passport_sample.jpg"

    try:
        print(f"Scanning {image_path}...")
        result = client.scan_passport(image_path)

        if result.get('success'):
            data = result['data']
            print("✅ Passport Extraction Successful!")
            print(f"Passport #:  {data.get('passport_number')}")
            print(f"Name:        {data.get('given_names')} {data.get('surname')}")
            print(f"Nationality: {data.get('nationality')}")
            print(f"DOB:         {data.get('date_of_birth')}")
        else:
            print(f"❌ Extraction Failed: {result.get('error')}")

    except Exception as e:
        print(f"Error: {e}")

if __name__ == "__main__":
    scan_brazil_passport()

JSON Response Example

The Python SDK returns a dictionary matching this normalized JSON structure.

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "BRA",
    "nationality": "BRA",
    "passport_number": "YX123456",
    "surname": "DA SILVA",
    "given_names": "JOÃO PAULO",
    "sex": "M",
    "date_of_birth": "1995-04-18",
    "place_of_birth": "SAO PAULO",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2035-04-17",
    "issuing_authority": "POLICIA FEDERAL"
  }
}