How to OCR the Number in an Indian Passport

Challenges with Indian Passport Verification

Extracting accurate information—specifically trying to get the OCR number in an Indian passport—presents unique challenges. A significant portion of circulating passports utilize thick, glossy laminates that cause severe glare and reflection issues right over critical data zones like the document number. Furthermore, handling bilingual field descriptors in both Hindi (Devanagari script) and English, alongside complex background motifs featuring national emblems, requires specialized parsing logic. These factors make a specialized extraction API essential for reliable processing.

Why StructOCR for Indian Passports

StructOCR offers unparalleled accuracy for Indian travel documents. Our core platform is provided as a highly scalable REST API, supported by convenient SDK wrappers for rapid integration. Whether you need a powerful passport extraction api or comprehensive travel identity verification software, our engine overcomes common optical obstacles like heavy glare. Want to see it in action? Upload an image to our live demo widget below for a free test. For production volumes, check out our flexible pricing plans.

Built for High-Compliance Industries

• Travel & Aviation: Our technology serves as a critical verification solution for travel, enabling seamless integration with e-Visa processing and automated check-in systems. This speeds up passenger throughput at major hubs like Indira Gandhi International Airport (DEL).
• Financial Services: By integrating our sophisticated API, financial institutions can automate their KYC and AML onboarding workflows with confidence, ensuring compliance with strict Reserve Bank of India (RBI) regulations while instantly validating passport numbers.

API & Python Wrapper Integration

Our core platform is a powerful REST API. Below is an example using our Python SDK wrapper (`pip install structocr`) for quick setup. It demonstrates how to parse standard fields as well as specific data from the Indian passport's back page. If you prefer to make raw HTTP requests, please read our official API documentation.

Prerequisite: Python 3.6+ and `structocr` library installed.

from structocr import StructOCR

# Initialize StructOCR Client
client = StructOCR("YOUR_API_KEY_HERE")

def scan_india_passport():
    image_path = "india_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')}")

            # Extract Country Specific (Indian Passport Last Page / Annexure)
            country_specific = data.get('country_specific', {})
            last_page = country_specific.get('last_page')
            if last_page:
                print(f"Father:      {last_page.get('father_name')}")
                print(f"Spouse:      {last_page.get('spouse_name')}")
                print(f"Address:     {last_page.get('address')}")
        else:
            print(f"❌ Extraction Failed: {result.get('error')}")

    except Exception as e:
        print(f"Error: {e}")

if __name__ == "__main__":
    scan_india_passport()

JSON Response Example

The API returns a JSON structure containing the extracted passport number, demographics, and back-page annexure details.

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "IND",
    "nationality": "INDIAN",
    "passport_number": "Z1234567",
    "surname": "SHARMA",
    "given_names": "RAHUL",
    "sex": "M",
    "date_of_birth": "1988-07-22",
    "place_of_birth": "NEW DELHI",
    "date_of_issue": "2021-04-10",
    "date_of_expiry": "2031-04-09",
    "issuing_authority": "MINISTRY OF EXTERNAL AFFAIRS",
    "country_specific": {
      "last_page": {
        "father_name": "AMIT SHARMA",
        "mother_name": "SITA SHARMA",
        "spouse_name": "PRIYA SHARMA",
        "address": "FLAT 4B, GREENWOOD APARTMENTS, NEW DELHI PIN: 110001, INDIA",
        "old_passport_number": "P7654321",
        "old_passport_issue_date": "2010-01-05",
        "old_passport_issue_place": "DELHI",
        "file_no": "DL1076071103622",
        "ecr_status": null
      }
    }
  }
}