Saudi Arabia Passport OCR with the StructOCR Python SDK

Challenges with Saudi Arabian Passport Verification

Extracting accurate information from Saudi Arabian passports presents specific challenges. The primary hurdle is the bilingual layout featuring both Arabic (Right-to-Left) and English (Left-to-Right) text on the data page. Furthermore, modern Saudi e-passports utilize advanced polycarbonate pages with intricate Islamic geometric background patterns, complex watermarks, and holographic security elements. These factors can significantly hinder manual data entry and traditional OCR methods, making a specialized passport extraction api essential for reliable processing.

Why StructOCR for Saudi Passports

StructOCR offers unparalleled accuracy for Saudi passport data extraction, thanks to our advanced machine learning models trained extensively on bilingual and RTL (Right-to-Left) datasets. Our solution is specifically engineered to overcome the common obstacles found in MENA region identity documents. Whether you need a powerful passport extraction api or a comprehensive fintech identity verification software, StructOCR delivers robust performance via our direct API service. For the fastest Python integration, install the official StructOCR SDK and see the Python SDK documentation.

Built for High-Compliance Industries

• Travel & Aviation: Our API serves as a critical verification solution for travel, enabling seamless integration with eVisa platforms (including Hajj and Umrah processing) and automated border control systems. This speeds up passenger throughput and enhances the overall travel experience.
• Financial Services: By integrating our sophisticated fintech identity verification software, financial institutions can automate their KYC onboarding workflows with confidence, ensuring compliance with strict Saudi Central Bank (SAMA) and Anti-Money Laundering (AML) regulations. This reduces manual review times and mitigates fraud risk.

Saudi Arabia 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_saudi_arabia_passport():
    image_path = "saudi_arabia_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_saudi_arabia_passport()

JSON Response Example

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

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "SAU",
    "nationality": "SAU",
    "passport_number": "E1234567",
    "surname": "AL DOSARI",
    "given_names": "KHALID",
    "sex": "M",
    "date_of_birth": "1988-11-22",
    "place_of_birth": "RIYADH",
    "date_of_issue": "2023-05-10",
    "date_of_expiry": "2033-05-09",
    "issuing_authority": "GENERAL DIRECTORATE OF PASSPORTS"
  }
}