Bangladesh Passport OCR with the StructOCR Python SDK

Challenges with Bangladesh Passport Verification

Extracting accurate information from Bangladeshi passports presents unique challenges, including the reflective nature of laminate overlays and complex, visually dense security backgrounds. 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 Bangladesh Passports

StructOCR offers unparalleled accuracy for Bangladesh passport data extraction, thanks to our advanced machine learning models trained on a vast dataset. Our solution is specifically engineered to overcome the common obstacles found in these documents. Whether you need a powerful passport extraction api or a comprehensive fintech identity verification software, StructOCR delivers robust performance. 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 critical verification solution for travel, enabling faster check-ins and border control processes for Bangladeshi citizens. 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. This reduces manual review times and ensures compliance with stringent regulatory requirements.

Bangladesh 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_bangladesh_passport():
    image_path = "bangladesh_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_bangladesh_passport()

JSON Response Example

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

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "BGD",
    "nationality": "BGD",
    "passport_number": "A0123456",
    "surname": "AHMED",
    "given_names": "RAHIM",
    "sex": "M",
    "date_of_birth": "1990-01-01",
    "place_of_birth": "DHAKA",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2030-01-01",
    "issuing_authority": "DIP DHAKA"
  }
}