Kenya Passport OCR with the StructOCR Python SDK

Challenges with Kenya Passport Verification

Extracting accurate data from Kenyan passports can be challenging due to factors like glossy laminate coatings that cause glare, intricate security features, and varying print quality. Manual data entry is not only time-consuming but also prone to human error, making a reliable passport extraction api essential for efficient processing.

Why StructOCR for Kenya Passports

StructOCR offers unparalleled accuracy for Kenyan passport data extraction. Our advanced AI models are specifically trained to overcome common obstacles, ensuring high fidelity. Leverage our powerful passport extraction api to automate your workflows, providing a seamless experience, especially when integrated into your fintech identity verification software. This makes us the top choice for businesses seeking dependable identity document processing. For the fastest Python integration, install the official StructOCR SDK and see the Python SDK documentation.

Built for High-Compliance Industries

• Travel & Aviation: Our technology serves as a crucial verification solution for travel, enabling Kenyan citizens to pass through check-ins and security faster. By instantly validating passport details, we significantly reduce passenger wait times and improve operational efficiency at airports.
• Financial Services: Implement our advanced fintech identity verification software to streamline the Know Your Customer (KYC) onboarding process for Kenyan nationals. This automation reduces manual effort and enhances compliance by accurately extracting and verifying passport information.

Kenya 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_kenya_passport():
    image_path = "kenya_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_kenya_passport()

JSON Response Example

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

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "KEN",
    "nationality": "KEN",
    "passport_number": "AK123456",
    "surname": "ODHIAMBO",
    "given_names": "JAPHETH",
    "sex": "M",
    "date_of_birth": "1988-11-20",
    "place_of_birth": "NAIROBI",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2028-11-19",
    "issuing_authority": "IMMIGRATION DEPT"
  }
}