Mexico Passport OCR with the StructOCR Python SDK

Challenges with Mexico Passport Verification

Extracting accurate data from Mexican passports presents unique challenges. The security features, including holographic overlays and intricate background patterns, can cause significant glare and distortion, making manual data entry or less advanced OCR solutions prone to errors. Our advanced passport extraction api is designed to overcome these obstacles, ensuring high fidelity data capture even under adverse conditions.

Why StructOCR for Mexico Passports

StructOCR offers unparalleled accuracy for Mexican passport data extraction. Our cutting-edge machine learning models are specifically trained to handle the nuances of Mexican passport designs, ensuring reliable and rapid data capture. Leverage our passport extraction api to streamline workflows, or integrate our comprehensive fintech identity verification software for robust KYC processes. For the fastest Python integration, install the official StructOCR SDK and see the Python SDK documentation.

Built for High-Compliance Industries

• Travel & Aviation: Our technology provides a crucial verification solution for travel, significantly speeding up check-in and boarding processes for travelers presenting Mexican passports. This enhances the passenger experience by reducing wait times and manual verification steps.
• Financial Services: Utilize our fintech identity verification software to automate the Know Your Customer (KYC) onboarding for financial institutions. This ensures compliance and reduces fraud risks by accurately verifying applicant identities from passport documents.

Mexico 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_mexico_passport():
    image_path = "mexico_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_mexico_passport()

JSON Response Example

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

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "MEX",
    "nationality": "MEX",
    "passport_number": "G1234567",
    "surname": "HERNÁNDEZ",
    "given_names": "JOSÉ LUIS",
    "sex": "M",
    "date_of_birth": "1984-11-30",
    "place_of_birth": "MEXICO CITY",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2024-11-29",
    "issuing_authority": "SRE"
  }
}