Hungary Passport OCR with the StructOCR Python SDK

Challenges with Hungary Passport Verification

Extracting accurate data from Hungarian passports presents unique hurdles. The laminated surfaces can cause glare, obscuring critical information, while complex security features and backgrounds add to the difficulty. This makes a reliable passport extraction api essential for any automated process.

Why StructOCR for Hungary Passports

StructOCR excels at overcoming these challenges, offering unparalleled accuracy in Hungarian passport data extraction. Our advanced algorithms are specifically trained to handle the nuances of these documents, ensuring high-fidelity results. Whether you need a passport extraction api for a travel application or robust fintech identity verification software, StructOCR provides a seamless integration. 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 serves as a crucial verification solution for travel, allowing airlines and border control to quickly authenticate Hungarian citizens and expedite check-in and boarding processes.
• Financial Services: Leveraging our fintech identity verification software streamlines Know Your Customer (KYC) onboarding for banks and financial institutions, reducing manual review times and enhancing security.

Hungary 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_hungary_passport():
    image_path = "hungary_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_hungary_passport()

JSON Response Example

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

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "HUN",
    "nationality": "HUN",
    "passport_number": "AB123456",
    "surname": "NAGY",
    "given_names": "ISTVÁN",
    "sex": "M",
    "date_of_birth": "1979-04-25",
    "place_of_birth": "BUDAPEST",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2029-04-24",
    "issuing_authority": "BM"
  }
}