Côte d'Ivoire Passport OCR with the StructOCR Python SDK

Challenges with Côte d'Ivoire Passport Verification

Extracting accurate data from Ivorian passports presents unique hurdles. The holographic overlays and complex security features can cause glare and distortion, making manual data entry error-prone and slow. This is where a specialized passport extraction api becomes indispensable for efficient processing.

Why StructOCR for Côte d'Ivoire Passports

StructOCR offers unparalleled accuracy for Ivorian passport data extraction. Our advanced algorithms are specifically trained to overcome the challenges posed by these documents, ensuring high fidelity. We provide a cutting-edge passport extraction api and are a leading provider of fintech identity verification software, making us the ideal partner for your KYC needs. For the fastest Python integration, install the official StructOCR SDK and see the Python SDK documentation.

Built for High-Compliance Industries

• Travel & Aviation: Our system acts as a critical verification solution for travel, dramatically speeding up passenger check-ins and border control for Ivorian citizens. This automation enhances the entire travel experience.
• Financial Services: Leverage our advanced fintech identity verification software to streamline customer onboarding processes. Automating KYC compliance with Ivorian passports reduces risk and improves operational efficiency.

Côte d'Ivoire 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_cote_d_ivoire_passport():
    image_path = "cote_d_ivoire_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_cote_d_ivoire_passport()

JSON Response Example

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

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "CIV",
    "nationality": "CIV",
    "passport_number": "PB1234567",
    "surname": "KOUASSI",
    "given_names": "YAO PASCAL",
    "sex": "M",
    "date_of_birth": "1982-08-14",
    "place_of_birth": "ABIDJAN",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2027-08-13",
    "issuing_authority": "MINISTERE DE LA SECURITE"
  }
}