Tunisia Passport OCR with the StructOCR Python SDK

Challenges with Tunisia Passport Verification

Extracting accurate information from Tunisian passports presents unique challenges. The holographic overlays, intricate security backgrounds, and potential for glare on the laminate can significantly hinder manual data entry or less sophisticated OCR systems. Leveraging a specialized passport extraction api is crucial for overcoming these hurdles and ensuring reliable data capture.

Why StructOCR for Tunisia Passports

StructOCR delivers unparalleled accuracy for Tunisian passport data extraction. Our advanced AI models are specifically trained to handle the nuances of these documents, reducing errors and speeding up processing times. We offer a comprehensive passport extraction api that integrates seamlessly into your workflows, making it an ideal fintech identity verification software component for onboarding and compliance. 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 provides a swift verification solution for travel, allowing Tunisian citizens to breeze through check-in and security. This drastically improves passenger experience and operational efficiency for airlines and airports.
• Financial Services: Utilize our fintech identity verification software to automate the Know Your Customer (KYC) process for new account openings. This reduces manual review times and enhances compliance with regulatory requirements.

Tunisia 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_tunisia_passport():
    image_path = "tunisia_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_tunisia_passport()

JSON Response Example

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

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "TUN",
    "nationality": "TUN",
    "passport_number": "T1234567",
    "surname": "TRABELSI",
    "given_names": "MOHAMED",
    "sex": "M",
    "date_of_birth": "1994-06-18",
    "place_of_birth": "TUNIS",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2029-06-17",
    "issuing_authority": "MINISTERE DE L'INTERIEUR"
  }
}