Turkey Passport OCR with the StructOCR Python SDK

Challenges with Turkish Passport Verification

Extracting accurate information from Turkish (Türkiye) passports presents specific challenges. The modern biometric e-passports feature advanced polycarbonate data pages with intricate cultural background motifs (such as tulips and historical landmarks) that can interfere with text recognition. Additionally, managing bilingual field descriptors (Turkish and English) containing unique Turkish characters (like ç, ğ, ı, ö, ş, ü) requires highly specialized parsing logic. These factors can hinder manual data entry and traditional OCR methods, making a specialized passport extraction api essential.

Why StructOCR for Turkish Passports

StructOCR offers unparalleled accuracy for Turkey passport data extraction, thanks to our advanced machine learning models trained on extensive datasets that perfectly handle Turkish typography and complex backgrounds. Our solution is specifically engineered to overcome the common obstacles found in these electronic travel 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 Turkey's high-volume eVisa system and accelerating passenger throughput at major international hubs like Istanbul Airport (IST).
• Financial Services: By integrating our sophisticated fintech identity verification software, financial institutions can automate their KYC onboarding workflows with confidence, ensuring compliance with strict BRSA (BDDK) and Anti-Money Laundering (AML) regulations in Turkey. This reduces manual review times and mitigates fraud risk.

Turkey 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_turkey_passport():
    image_path = "turkey_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_turkey_passport()

JSON Response Example

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

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "TUR",
    "nationality": "TUR",
    "passport_number": "U1234567",
    "surname": "YILMAZ",
    "given_names": "AHMET",
    "sex": "M",
    "date_of_birth": "1985-03-18",
    "place_of_birth": "ISTANBUL",
    "date_of_issue": "2022-06-10",
    "date_of_expiry": "2032-06-09",
    "issuing_authority": "MINISTRY OF INTERIOR"
  }
}