Morocco Passport OCR with the StructOCR Python SDK

Challenges with Morocco Passport Verification

Extracting accurate data from Moroccan passports can be challenging due to the reflective nature of the laminate overlay, intricate security features, and varying print qualities. Manual data entry is prone to errors and is time-consuming. Leveraging a sophisticated passport extraction api is crucial for streamlining this process and ensuring high accuracy.

Why StructOCR for Morocco Passports

StructOCR's advanced AI models are specifically trained to overcome the common obstacles in Moroccan passport data extraction, delivering unparalleled accuracy. Our state-of-the-art passport extraction api ensures that critical information is parsed correctly every time, making it an integral component of any robust fintech identity verification software suite. 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 seamless verification solution for travel, allowing Moroccan citizens to experience faster check-ins and boarding processes by instantly validating their passport details. This significantly enhances the overall travel experience.
• Financial Services: By integrating our fintech identity verification software, financial institutions can automate the Know Your Customer (KYC) onboarding process with high precision. This reduces manual review times and minimizes the risk of fraudulent applications.

Morocco 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_morocco_passport():
    image_path = "morocco_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_morocco_passport()

JSON Response Example

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

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "MAR",
    "nationality": "MAR",
    "passport_number": "P1234567",
    "surname": "ALAMI",
    "given_names": "YASSINE",
    "sex": "M",
    "date_of_birth": "1985-02-10",
    "place_of_birth": "CASABLANCA",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2025-02-09",
    "issuing_authority": "MINISTERE DE L'INTERIEUR"
  }
}