Senegal Passport OCR with the StructOCR Python SDK

Challenges with Senegal Passport Verification

Extracting accurate information from Senegalese passports presents unique hurdles. The security features, such as holographic overlays and laminate glare, can obscure critical data fields. Standard OCR tools often struggle with these complex visual elements, leading to errors. This is precisely why a specialized solution is needed, making a reliable passport extraction api indispensable for efficient processing.

Why StructOCR for Senegal Passports

StructOCR's advanced AI models are meticulously trained on a vast dataset of Senegalese passports, ensuring unparalleled accuracy in data extraction. We understand the critical need for reliable identity document processing. Our system excels at overcoming the challenges of glare and complex layouts, providing you with clean, structured data. Whether you're implementing a passport extraction api for automation or seeking robust fintech identity verification software, StructOCR delivers. 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 identity verification with our solution, acting as a crucial verification solution for travel. This speeds up boarding processes and enhances security for Senegalese citizens and international travelers alike.
• Financial Services: Automate KYC and onboarding procedures by leveraging our advanced fintech identity verification software. This ensures compliance with regulations and provides a seamless customer experience from the outset.

Senegal 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_senegal_passport():
    image_path = "senegal_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_senegal_passport()

JSON Response Example

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

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "SEN",
    "nationality": "SEN",
    "passport_number": "P0123456",
    "surname": "NDIAYE",
    "given_names": "AMADOU",
    "sex": "M",
    "date_of_birth": "1991-04-09",
    "place_of_birth": "DAKAR",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2026-04-08",
    "issuing_authority": "MINISTERE DE L'INTERIEUR"
  }
}