Switzerland ID Card OCR Python SDK

Instantly extract data from Swiss Identity Cards using our native Python library.

AI extracting data from a Swiss Identity Card
StructOCR engine analyzing a Swiss Identity Card (Identitätskarte) in real-time.

Parsing Swiss ID Challenges

The Swiss Identity Card (Identitätskarte / Carte d'identité / Carta d'identità / Carta d'identitad) poses unique OCR challenges. Accurately parsing a document that incorporates up to four national languages (German, French, Italian, Romansh), strict security features, and a complex 3-line MRZ requires highly specialized computer vision models.

Why StructOCR for Switzerland

StructOCR's model is specifically trained on a large dataset of Swiss ID images, ensuring high accuracy for national id ocr extraction. The Python SDK simplifies the integration process with just a few lines of code, allowing you to instantly extract structural data, parse the MRZ, and automate your verification workflows to meet strict FINMA regulatory standards.

Common Use Cases in Switzerland

  • Crypto & Web3 Onboarding: Verify users for virtual asset service providers (VASPs) operating in the Zug Crypto Valley.
  • Financial Services: Automate document parsing for Swiss banking applications ensuring FINMA-compliant KYC workflows.
  • Telecom Registration: Speed up mobile SIM card registrations by instantly capturing customer identity data.

Live Demo: ID card scanner

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Python SDK Integration

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

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

from structocr import StructOCR

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

def scan_switzerland_id():
    # Note: Supports JPG, PNG, WebP (Max 4.5MB)
    # Target: Swiss Identity Card
    image_path = "switzerland_national_id.jpg"

    try:
        print(f"Scanning {image_path}...")
        
        # The SDK handles file upload and API communication
        # It automatically detects that this is a Swiss 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("✅ Switzerland Extraction Successful!")
            
            # Basic Identity
            print(f"Region:      {data.get('country_code')}")
            print(f"Name:        {data.get('given_names')} {data.get('surname')}")
            print(f"ID Number:   {data.get('document_number')}")
            
            # Demographics
            print(f"DOB:         {data.get('date_of_birth')} ({data.get('sex')})")
            print(f"Birthplace:  {data.get('place_of_birth')}")
            
            # MRZ Extraction
            additional = data.get('additional_fields', {})
            if additional.get('mrz_line_1'):
                print("\n🔍 MRZ Data Found:")
                print(additional.get('mrz_line_1'))
                print(additional.get('mrz_line_2'))
                print(additional.get('mrz_line_3') or "")
        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_switzerland_id()

Technical Specs

  • Latency: < 4s (Average)
  • Uptime: 99.9% SLA
  • Security: AES-256 Encryption & SOC2 Compliant
  • Input: JPG, PNG, WebP (Max 4.5MB)
  • Output: JSON (Structured Data)

Key Features

  • Multi-lingual Support: Seamlessly reads German, French, Italian, and Romansh characters, including umlauts (ä, ö, ü).
  • MRZ Extraction: Automatically parses the 3-line Machine Readable Zone (MRZ) on the reverse of the ID.
  • Document Number Validation: Accurately extracts the alphanumeric Swiss ID document number.
  • Date Normalization: Standardizes issue dates, expiry dates, and birth dates into a consistent `YYYY-MM-DD` format.
  • Smart Crop & Blur Detection: Rejects blurry images and 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": "CHE",
    "nationality": "SCHWEIZER",
    "document_number": "F12345678",
    "card_series": "",
    "personal_number": null,
    "surname": "MÜLLER",
    "given_names": "LUKAS",
    "sex": "M",
    "date_of_birth": "1990-05-15",
    "place_of_birth": "BERN",
    "address": null,
    "date_of_issue": "2021-10-20",
    "date_of_expiry": "2031-10-19",
    "issuing_authority": "KANTON BERN",
    "additional_fields": {
      "phone_number": null,
      "tramite_number": null,
      "ejemplar": null,
      "mrz_line_1": "IDCHEF123456789<<<<<<<<<<<<<<<",
      "mrz_line_2": "9005155M3110198CHE<<<<<<<<<<<4",
      "mrz_line_3": "MUELLER<<LUKAS<<<<<<<<<<<<<<<<"
    }
  }
}

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 to comply with strict Swiss Federal Act on Data Protection (FADP) and GDPR.

How to handle errors?

The SDK result dictionary contains a 'success' boolean and an 'error' code (e.g., FILE_TOO_LARGE) if failed.

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