Argentina Passport OCR with the StructOCR Python SDK

Challenges with Argentina Passport Verification

Extracting accurate information from Argentine passports can be difficult due to reflective laminate overlays, intricate security patterns, and potential wear and tear on the document. These factors often lead to read errors and manual processing delays. To overcome these hurdles, a reliable passport extraction api is essential for efficient and secure document handling.

Why StructOCR for Argentina Passports

StructOCR offers unparalleled accuracy for Argentine passport data extraction. Our advanced algorithms are specifically trained to handle the nuances of these documents, ensuring high fidelity. You can integrate our state-of-the-art passport extraction api into your workflows to streamline KYC processes. This makes us an ideal choice for any business requiring robust fintech identity verification software solutions. 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 critical verification solution for travel, rapidly confirming passenger identities. This significantly speeds up check-in and boarding processes for Argentine citizens and international travelers.
• Financial Services: Leverage our advanced fintech identity verification software to automate Know Your Customer (KYC) onboarding. This ensures compliance and reduces manual review times for new account openings.

Argentina 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_argentina_passport():
    image_path = "argentina_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_argentina_passport()

JSON Response Example

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

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "ARG",
    "nationality": "ARG",
    "passport_number": "AAA123456",
    "surname": "GARCÍA",
    "given_names": "MATEO ALEJANDRO",
    "sex": "M",
    "date_of_birth": "1989-08-22",
    "place_of_birth": "BUENOS AIRES",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2029-08-21",
    "issuing_authority": "RENAPER"
  }
}