Netherlands Passport OCR with the StructOCR Python SDK

Challenges with Netherlands Passport Verification

Extracting accurate data from Netherlands passports presents unique hurdles. The sophisticated security features, including holographic overlays and complex background patterns, can cause glare and distortions that challenge traditional OCR. Our advanced passport extraction api is specifically engineered to overcome these obstacles, ensuring high accuracy even with less-than-ideal image quality.

Why StructOCR for Netherlands Passports

StructOCR offers unparalleled accuracy for Netherlands passport data extraction. Our specialized algorithms are trained on extensive datasets, ensuring reliable capture of all key information fields. We pride ourselves on delivering a leading passport extraction api, making us the go-to solution for businesses seeking advanced fintech identity verification software and beyond. For the fastest Python integration, install the official StructOCR SDK and see the Python SDK documentation.

Built for High-Compliance Industries

• Travel & Aviation: Our solution serves as a critical verification solution for travel, enabling faster and more secure passenger processing for Dutch citizens. Expedite check-in and boarding by instantly validating passport details.
• Financial Services: Leverage our powerful fintech identity verification software to automate the KYC onboarding process for new customers. Reduce manual review times and enhance compliance with secure, reliable data extraction.

Netherlands 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_netherlands_passport():
    image_path = "netherlands_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_netherlands_passport()

JSON Response Example

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

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "NLD",
    "nationality": "NLD",
    "passport_number": "SPECI2014",
    "surname": "DE VRIES",
    "given_names": "JAN",
    "sex": "M",
    "date_of_birth": "1980-05-10",
    "place_of_birth": "AMSTERDAM",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2030-05-09",
    "issuing_authority": "BURGEMEESTER VAN AMSTERDAM"
  }
}