Serbia Lična karta OCR Python SDK

from structocr import StructOCR

# Get 200 free credits:
# 👉 https://structocr.com/register
# Initialize with your API Key
client = StructOCR("YOUR_API_KEY_HERE")

def scan_serbia_id():
    # Note: Supports JPG, PNG, WebP (Max 4.5MB)
    # Target: Lična karta
    image_path = "serbia_national_id.jpg"

    try:
        print(f"Scanning {image_path}...")
        
        # The SDK handles file upload and API communication
        # It automatically detects that this is a Serbian 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("✅ Serbia 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')}")

            # Machine Readable Zone (MRZ)
            additional = data.get('additional_fields', {})
            if additional.get('mrz_line_1'):
                print("\n--- MRZ Data ---")
                print(additional.get('mrz_line_1'))
                print(additional.get('mrz_line_2'))
                if additional.get('mrz_line_3'):
                    print(additional.get('mrz_line_3'))
        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_serbia_id()