Indonesia Passport OCR with the StructOCR Python SDK

Challenges with Indonesia Passport Verification

Extracting accurate data from Indonesian passports presents unique hurdles. The laminated surfaces can cause glare, and intricate security features and backgrounds often interfere with traditional OCR methods. This makes reliable data capture a significant challenge, underscoring the need for an advanced passport extraction api.

Why StructOCR for Indonesia Passports

StructOCR's advanced AI models are specifically trained to overcome these obstacles, offering unparalleled accuracy for Indonesian passport data extraction. Our passport extraction api is engineered for high-volume processing and seamless integration, making it the ideal choice for businesses requiring reliable identity data. It's a cornerstone for effective fintech identity verification software, streamlining 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 serves as a crucial verification solution for travel, accelerating passenger check-in and security screening for Indonesian citizens. This ensures a smoother, faster journey through airports and border controls.
• Financial Services: Leverage our fintech identity verification software to automate the Know Your Customer (KYC) process for new account openings. This drastically reduces manual review times and enhances compliance.

Indonesia 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_indonesia_passport():
    image_path = "indonesia_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_indonesia_passport()

JSON Response Example

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

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "IDN",
    "nationality": "IDN",
    "passport_number": "A1234567",
    "surname": "SANTOSO",
    "given_names": "BUDI",
    "sex": "M",
    "date_of_birth": "1990-03-15",
    "place_of_birth": "JAKARTA",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2025-03-14",
    "issuing_authority": "IMMIGRATION JAKARTA"
  }
}