Nigeria NIN Slip & e-ID OCR Python SDK

Instantly extract data and MRZ from Nigerian IDs using our native Python library.

AI extracting data from a Nigeria ID card
StructOCR engine analyzing a Nigerian document and MRZ in real-time.

Parsing NIN Slip Challenges

Parsing NIN Slips presents unique challenges. Firstly, the print quality on some slips can be inconsistent, leading to blurred or distorted characters. Secondly, variations in layout and design across different NIN Slip versions can complicate accurate data extraction.

Why StructOCR for Nigeria

StructOCR's model is specifically trained on a vast dataset of Nigerian NIN Slips and e-ID cards, enabling robust and accurate data extraction even with variations in print quality and layout. Our Python SDK simplifies integration into your existing systems, providing a clean and intuitive id parsing api for seamless document processing. It also fully supports parsing the Machine Readable Zone (MRZ) for secondary validation.

Common Use Cases in Nigeria

  • Digital Onboarding: Verify users for Fintech apps in Nigeria.
  • Telecom Registration: Automate SIM card registration with NIN Slip.
  • Hotel Check-in: Speed up guest registration workflows using MRZ scans.

Live Demo: ID card scanner

No registration required. Upload a file to test the extraction.

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Python SDK Integration

Install the SDK via pip: `pip install structocr`. Then use the following code to extract personal data and MRZ fields.

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

Prefer another stack? Open the Node.js SDK + Express integration.

from structocr import StructOCR

# 💰 Save 30%+ vs competitors. Get 200 free credits instantly:
# 👉 https://structocr.com/register
# Initialize with your API Key
client = StructOCR("YOUR_API_KEY_HERE")

def scan_nigeria_id():
    # Note: Supports JPG, PNG, WebP (Max 4.5MB)
    # Target: NIN Slip or e-ID Card
    image_path = "nigeria_national_id.jpg"

    try:
        print(f"Scanning {image_path}...")
        
        # The SDK handles file upload and API communication
        # It automatically detects that this is a Nigerian document
        result = client.scan_national_id(image_path)

        # Check success flag (SDK returns a dict matching the JSON response)
        if result.get('success'):
            data = result['data']
            print("✅ Nigeria Extraction Successful!")
            
            # Basic Identity
            print(f"Region:      {data.get('country_code')} (Series: {data.get('card_series')})")
            print(f"Name:        {data.get('given_names')} {data.get('surname')}")
            print(f"ID Number:   {data.get('document_number')}")
            
            # Critical Field: Personal Identity Number (CNP/CPF/NIN)
            print(f"Personal #:  {data.get('personal_number')}")
            
            # Demographics
            print(f"DOB:         {data.get('date_of_birth')} ({data.get('sex')})")
            print(f"Address:     {data.get('address')}")
            
            # MRZ Data (Applicable for Nigerian e-ID cards)
            additional = data.get('additional_fields', {})
            if additional and additional.get('mrz_line_1'):
                print("\n--- MRZ Data ---")
                print(f"Line 1: {additional.get('mrz_line_1')}")
                print(f"Line 2: {additional.get('mrz_line_2')}")
                if additional.get('mrz_line_3'):
                    print(f"Line 3: {additional.get('mrz_line_3')}")
        else:
            print(f"❌ Extraction Failed: {result.get('error')}")

    except Exception as e:
        # Handle SDK or Network errors
        print(f"An error occurred: {e}")

if __name__ == "__main__":
    scan_nigeria_id()

Technical Specs

  • Latency: < 4s (Average)
  • Uptime: 99.9% SLA
  • Security: AES-256 Encryption & SOC2 Compliant
  • Input: JPG, PNG, WebP (Max 4.5MB)
  • Output: JSON (Structured Data)

Key Features

  • Native Script Support: Reads English and local characters.
  • Blur Detection: Automatically rejects blurry images.
  • Fraud Check: Validates NIN Slip number format.
  • Smart Crop: Removes background noise automatically.
  • MRZ Extraction: Seamlessly parses the 3-line Machine Readable Zone (MRZ) present on Nigerian e-ID cards.

JSON Response Example

The SDK returns a Python dictionary matching this JSON structure. Note the `additional_fields` object handling the MRZ lines.

{
  "success": true,
  "data": {
    "type": "national_id",
    "country_code": "NGA",
    "nationality": "NIGERIAN",
    "document_number": "12345678901",
    "card_series": "",
    "personal_number": "12345678901",
    "surname": "OKAFOR",
    "given_names": "CHINEDU EMEKA",
    "sex": "M",
    "date_of_birth": "1990-05-15",
    "place_of_birth": "LAGOS",
    "address": "12 Adetokunbo Ademola Street, Victoria Island, Lagos",
    "date_of_issue": "2020-01-01",
    "date_of_expiry": "2030-01-01",
    "issuing_authority": "NIMC",
    "additional_fields": {
      "mrz_line_1": "IDNGA1234567890<<<<<<<<<<<<<<<",
      "mrz_line_2": "9005153M3001014NGA<<<<<<<<<<<8",
      "mrz_line_3": "OKAFOR<<CHINEDU<EMEKA<<<<<<<<<",
      "tramite_number": null,
      "ejemplar": null,
      "phone_number": null
    }
  }
}

Frequently Asked Questions

Does the Python SDK handle image uploads?

Yes, the SDK automatically handles base64 encoding and file uploads.

Does the API extract MRZ from Nigerian IDs?

Yes, if the uploaded image is a Nigerian e-ID card, the API automatically parses and returns the MRZ lines inside the `additional_fields` object.

Is data stored?

No. Images are processed in-memory and deleted immediately.

How to handle errors?

The SDK result dictionary contains a 'success' boolean and an 'error' message if failed.

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