Pakistan Passport OCR with the StructOCR Python SDK

Challenges with Pakistan Passport Verification

Extracting accurate data from Pakistani passports can be challenging due to reflective laminate surfaces, complex security backgrounds, and variations in print quality. Our advanced engine tackles these issues head-on, providing a reliable passport extraction api for seamless integration.

Why StructOCR for Pakistan Passports

StructOCR offers unparalleled accuracy in reading Pakistani passport data. We've fine-tuned our algorithms to overcome common OCR hurdles, making us the go-to passport extraction api. This makes our solution perfect for any business needing automated identity checks, from travel agencies to providers of fintech identity verification software. For the fastest Python integration, install the official StructOCR SDK and see the Python SDK documentation.

Built for High-Compliance Industries

• Travel & Aviation: Streamline passenger check-in and visa processing, providing a crucial verification solution for travel. Our tech ensures quick and accurate identity confirmation for Pakistani citizens, reducing queues and enhancing the travel experience.
• Financial Services: Leverage our advanced fintech identity verification software to automate Know Your Customer (KYC) processes. This significantly speeds up account opening and compliance checks, while minimizing manual errors.

Pakistan 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_pakistan_passport():
    image_path = "pakistan_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_pakistan_passport()

JSON Response Example

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

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "PAK",
    "nationality": "PAK",
    "passport_number": "AB1234561",
    "surname": "KHAN",
    "given_names": "MUHAMMAD ALI",
    "sex": "M",
    "date_of_birth": "1985-05-15",
    "place_of_birth": "LAHORE",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2028-05-14",
    "issuing_authority": "DGIP"
  }
}