Nigeria Passport OCR with the StructOCR Python SDK

Challenges with Nigeria Passport Verification

Extracting accurate information from Nigerian passports can be challenging due to several factors, including the reflective nature of laminate overlays which can cause glare, and complex security backgrounds designed to prevent counterfeiting. These elements often interfere with traditional optical character recognition methods. Our advanced system overcomes these obstacles to provide reliable data extraction, making our passport extraction api a vital tool for compliance.

Why StructOCR for Nigeria Passports

StructOCR provides unparalleled accuracy in extracting data from Nigerian passports. Our advanced algorithms are specifically trained to handle the nuances of Nigerian travel documents, ensuring high fidelity. This makes our passport extraction api a leading choice for businesses seeking reliable identity data. For industries needing robust checks, StructOCR offers comprehensive fintech identity verification software solutions. 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 an essential verification solution for travel, streamlining check-in and boarding processes for Nigerian citizens by instantly validating travel documents.
• Financial Services: Leverage our advanced fintech identity verification software to automate the Know Your Customer (KYC) process, significantly reducing onboarding times and improving compliance for financial institutions.

Nigeria 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_nigeria_passport():
    image_path = "nigeria_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_nigeria_passport()

JSON Response Example

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

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "NGA",
    "nationality": "NGA",
    "passport_number": "A01234567",
    "surname": "OKAFOR",
    "given_names": "CHINEDU EMEKA",
    "sex": "M",
    "date_of_birth": "1995-07-25",
    "place_of_birth": "LAGOS",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2030-07-24",
    "issuing_authority": "NIS"
  }
}