Uzbekistan Passport OCR with the StructOCR Python SDK

Challenges with Uzbekistan Passport Verification

Uzbekistan passports, like many modern travel documents, present unique challenges for data extraction. The laminated surfaces can cause glare, while intricate security backgrounds can confuse standard OCR algorithms. Accurately extracting information requires specialized image processing and machine learning to overcome these obstacles, making a reliable passport extraction api essential for efficient processing.

Why StructOCR for Uzbekistan Passports

StructOCR offers unparalleled accuracy for Uzbekistan passport data extraction. Our advanced algorithms are meticulously trained to handle the specific nuances of these documents, ensuring high fidelity in every scan. Whether you're implementing a passport extraction api for a travel agency or integrating fintech identity verification software for onboarding, our solution provides the speed and reliability you need. For the fastest Python integration, install the official StructOCR SDK and see the Python SDK documentation.

Built for High-Compliance Industries

• Travel & Aviation: Streamline check-ins and border control for Uzbek citizens by providing a seamless verification solution for travel. Our technology significantly reduces manual entry errors and speeds up passenger processing.
• Financial Services: Automate your Know Your Customer (KYC) procedures with our advanced fintech identity verification software. Quickly and securely onboard new clients by extracting passport data accurately and efficiently.

Uzbekistan 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_uzbekistan_passport():
    image_path = "uzbekistan_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_uzbekistan_passport()

JSON Response Example

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

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "UZB",
    "nationality": "UZB",
    "passport_number": "FA1234567",
    "surname": "ABDULLAYEV",
    "given_names": "JAMSHID",
    "sex": "M",
    "date_of_birth": "1993-03-03",
    "place_of_birth": "TASHKENT",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2033-03-02",
    "issuing_authority": "MIA"
  }
}