Hungary Személyazonosító OCR Python SDK

Instantly extract data from Hungarian IDs using our native Python library.

Steve HarringtonUpdated 2026-01-22
AI extracting data from a Hungary ID card
StructOCR engine analyzing a Hungarian document in real-time.

Parsing Személyazonosító Challenges

Hungarian Személyazonosító cards pose unique OCR challenges due to the presence of native Hungarian characters (accents) and varying layouts across different card versions. Print quality variations, especially on older cards, further complicate accurate data extraction.

Why StructOCR for Hungary

Our model is specifically trained on a large dataset of Hungarian Személyazonosító cards, including variations in layout and print quality. The Python SDK simplifies integration, allowing developers to quickly and accurately extract data with minimal code.

Common Use Cases in Hungary

  • Digital Onboarding: Verify users for Fintech apps in Hungary.
  • Telecom Registration: Automate SIM card registration with Személyazonosító.
  • Hotel Check-in: Speed up guest registration workflows.

Python SDK Integration

Install the SDK via pip: `pip install structocr`. Then use the following code.

Prerequisite: Python 3.6+ and `structocr` library installed.

PYTHON EXAMPLE
from structocr import StructOCR

# 💰 Save 30%+ vs competitors. Get 200 free requests instantly:
# 👉 https://structocr.com/register
# Initialize with your API Key
client = StructOCR("YOUR_API_KEY_HERE")

def scan_hungary_id():
    # Note: Supports JPG, PNG, WebP (Max 4.5MB)
    # Target: Személyazonosító
    image_path = "hungary_national_id.jpg"

    try:
        print(f"Scanning {image_path}...")
        
        # The SDK handles file upload and API communication
        # It automatically detects that this is a Hungarian document
        result = client.scan_national_id(image_path)

        # Check success flag (SDK returns a dict matching the JSON response)
        if result.get('success'):
            data = result['data']
            print("✅ Hungary Extraction Successful!")
            
            # Basic Identity
            print(f"Region:      {data.get('country_code')} (Series: {data.get('card_series')})")
            print(f"Name:        {data.get('given_names')} {data.get('surname')}")
            print(f"ID Number:   {data.get('document_number')}")
            
            # Critical Field: Personal Identity Number (CNP/CPF/NIN)
            print(f"Personal #:  {data.get('personal_number')}")
            
            # Demographics
            print(f"DOB:         {data.get('date_of_birth')} ({data.get('sex')})")
            print(f"Address:     {data.get('address')}")
        else:
            print(f"❌ Extraction Failed: {result.get('error')}")

    except Exception as e:
        # Handle SDK or Network errors
        print(f"An error occurred: {e}")

if __name__ == "__main__":
    scan_hungary_id()

Technical Specs

  • Latency: < 5s (Average)
  • Uptime: 98.5% SLA
  • Security: AES-256 Encryption & SOC2 Compliant
  • Input: JPG, PNG, WebP (Max 4.5MB)
  • Output: JSON (Structured Data)

Key Features

  • Native Script Support: Reads English and local characters.
  • Blur Detection: Automatically rejects blurry images.
  • Fraud Check: Validates Személyazonosító number format.
  • Smart Crop: Removes background noise automatically.

JSON Response Example

The SDK returns a Python dictionary matching this JSON structure.

{
  "success": true,
  "data": {
    "type": "national_id",
    "country_code": "HUN",
    "nationality": "MAGYAR",
    "document_number": "123456AB",
    "card_series": "",
    "personal_number": "1 900101 1234",
    "surname": "NAGY",
    "given_names": "ISTVÁN",
    "sex": "M",
    "date_of_birth": "1990-05-15",
    "place_of_birth": "BUDAPEST",
    "address": "1052 Budapest, Deák Ferenc tér 1.",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2030-01-01",
    "issuing_authority": "Budapest Főváros Kormányhivatala"
  }
}

Frequently Asked Questions

Does the Python SDK handle image uploads?

Yes, the SDK automatically handles base64 encoding and file uploads.

Is data stored?

No. Images are processed in-memory and deleted immediately.

How to handle errors?

The SDK result dictionary contains a 'success' boolean and an 'error' message if failed.

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