Algeria Passport OCR with the StructOCR Python SDK

Challenges with Algeria Passport Verification

Extracting accurate data from Algerian passports presents unique hurdles. The laminate overlay can cause significant glare, and the intricate security patterns often confuse standard OCR engines. Manual data entry is time-consuming and prone to errors, making a reliable passport extraction api essential for efficient processing.

Why StructOCR for Algeria Passports

StructOCR offers unparalleled accuracy in Algerian passport data extraction. Our advanced algorithms are specifically tuned to overcome common issues like glare and complex backgrounds, ensuring high-fidelity data capture. This makes our passport extraction api an indispensable tool for businesses needing precise document data. For financial institutions, our fintech identity verification software streamlines KYC processes, enhancing both security and customer experience. 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 critical verification solution for travel, enabling faster passenger checks and seamless boarding experiences for Algerian citizens. This dramatically reduces queues and improves operational efficiency at airports.
• Financial Services: Leveraging our fintech identity verification software automates the crucial KYC onboarding process for banks and other financial institutions. This ensures compliance with regulations while providing a frictionless experience for new customers.

Algeria 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_algeria_passport():
    image_path = "algeria_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_algeria_passport()

JSON Response Example

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

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "DZA",
    "nationality": "DZA",
    "passport_number": "192345678",
    "surname": "BOUAZIZ",
    "given_names": "KARIM",
    "sex": "M",
    "date_of_birth": "1989-12-01",
    "place_of_birth": "ALGIERS",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2029-11-30",
    "issuing_authority": "MINISTERE DE L'INTERIEUR"
  }
}