Czech Republic Občanský průkaz OCR Python SDK

Parsing Občanský průkaz Challenges

Extracting data from the Czech Občanský průkaz presents specific challenges. First, the presence of Czech diacritics (ěščřžýáíé) requires highly robust character recognition to avoid data corruption. Second, accurately identifying and structuring the 10-digit Rodné číslo (Birth Number) formatted with a slash is crucial for local compliance. Finally, manually parsing the Machine-Readable Zone (MRZ) on the back of the card to mathematically verify the document's authenticity adds significant engineering overhead.

Why StructOCR for the Czech Republic

StructOCR is specifically trained on a large dataset of modern Czech ID cards, ensuring unparalleled accuracy with Czech typography and specific card layouts. Our Python SDK automatically locates critical fields like the Rodné číslo. By abstracting away the complexities of image processing via our national ID parsing API, you can efficiently scale your KYC automation platform.

Common Use Cases in Central Europe

• Digital Onboarding: Verify users for Fintech apps in the Czech Republic by pre-filling Rodné číslo and address data in < 2 seconds.
• Telecom Registration: Automate SIM card registration with native support for Czech diacritics.
• Pan-European Expansion: Seamlessly process users across the EU. Our unified Python SDK automatically detects and extracts data from neighboring documents, such as the Slovakia ID or Poland ID, without requiring custom rules.

Python SDK Integration

Install the SDK via pip: `pip install structocr`. The SDK automatically maps Czech-specific fields (like Rodné číslo) and parses the TD1 MRZ block.

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

from structocr import StructOCR

# 🔑 Need a key for the Czech Republic? Get 200 free credits instantly:
# 👉 https://structocr.com/register
# Initialize with your API Key
client = StructOCR("YOUR_API_KEY_HERE")

def scan_czech_republic_id():
    # Note: Supports JPG, PNG, WebP (Max 4.5MB)
    image_path = "czech_obcansky_prukaz.jpg"

    try:
        print(f"Scanning {image_path}...")
        result = client.scan_national_id(image_path)

        if result.get('success'):
            data = result['data']
            print("✅ Czech Republic ID Extraction Successful!")
            
            # Basic Identity
            print(f"Region:      {data.get('country_code')}")
            print(f"Name:        {data.get('given_names')} {data.get('surname')}")
            print(f"Document No: {data.get('document_number')}")
            
            # Critical Local Field: Rodné číslo
            print(f"Rodné číslo: {data.get('personal_number')}")
            
            # Demographics
            print(f"DOB:         {data.get('date_of_birth')} ({data.get('sex')})")
            print(f"Address:     {data.get('address')}")
            
            # Extract TD1 MRZ Data
            additional = data.get('additional_fields', {})
            if additional.get('mrz_line_1'):
                print("\n🔍 MRZ Data Extracted & Validated:")
                print(f"Line 1: {additional.get('mrz_line_1')}")
                print(f"Line 2: {additional.get('mrz_line_2')}")
                print(f"Line 3: {additional.get('mrz_line_3')}")
        else:
            print(f"❌ Extraction Failed: {result.get('error')}")

    except Exception as e:
        print(f"An error occurred: {e}")

if __name__ == "__main__":
    scan_czech_republic_id()

JSON Response Example

The SDK returns a Python dictionary containing the parsed visual data (VIZ) with native diacritics, the Rodné číslo, and the raw Machine-Readable Zone (MRZ) block.

{
  "success": true,
  "data": {
    "type": "national_id",
    "country_code": "CZE",
    "nationality": "ČESKÁ",
    "document_number": "123456789",
    "card_series": "",
    "personal_number": "900515/1234",
    "surname": "NOVÁK",
    "given_names": "PETR",
    "sex": "M",
    "date_of_birth": "1990-05-15",
    "place_of_birth": "PRAHA",
    "address": "Václavské náměstí 812/19, 110 00 Praha 1",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2030-01-01",
    "issuing_authority": "Městský úřad Praha 1",
    "additional_fields": {
      "tramite_number": null,
      "mrz_line_1": "IDCZE1234567895<<<<<<<<<<<<<<<",
      "mrz_line_2": "9005156M3001018CZE<<<<<<<<<<<4",
      "mrz_line_3": "NOVAK<<PETR<<<<<<<<<<<<<<<<<<<"
    }
  }
}