ID Verification Documents

A simple SDK integration project for ID verification, KYC, biometrics, face recognition, face verification, and liveness detection.

Installation

Clone the repository:

git clone https://github.com/rakib2026/ID-Verification-Documents.git
cd ID-Verification-Documents

Create and activate a virtual environment:

python -m venv venv

# Windows
venv\Scripts\activate

# macOS / Linux
source venv/bin/activate

Install dependencies:

pip install -r requirements.txt

Create a .env file:

API_KEY=your_api_key_here
API_SECRET=your_api_secret_here
BASE_URL=your_api_base_url_here

About

This repository is made for developers who want to integrate ID verification and face-based user verification in Python.

It can be used for KYC onboarding, document verification, selfie matching, biometric verification, and fraud prevention workflows.

You can connect this project with providers like FaceOnLive or any similar identity verification API.

Basic Workflow

Upload ID document
        ↓
Upload selfie or face image
        ↓
Verify document data
        ↓
Compare face with document image
        ↓
Return verification result

Project Structure

ID-Verification-Documents/
│
├── app/
│   ├── config.py
│   ├── verification.py
│   └── face_check.py
│
├── examples/
│   └── verify_user.py
│
├── .env.example
├── requirements.txt
└── README.md

Example Usage

from app.verification import verify_document
from app.face_check import verify_face

document_path = "samples/id_card.jpg"
selfie_path = "samples/selfie.jpg"

document_result = verify_document(document_path)
face_result = verify_face(document_path, selfie_path)

print("Document Verification:", document_result)
print("Face Verification:", face_result)

Features

• ID document verification
• KYC verification
• Face recognition
• Face verification
• Biometric verification
• Liveness detection
• Document and selfie matching
• Fraud prevention support

Requirements

Example requirements.txt:

requests
python-dotenv
opencv-python
pillow

Add the official SDK package if your verification provider gives a dedicated Python package.

Use Cases

• Fintech KYC verification
• Banking user onboarding
• Marketplace seller verification
• Digital wallet registration
• Remote account opening
• Age verification
• Secure login with biometrics
• Face-based attendance system

Security Notes

When working with ID documents and biometric data, always follow proper security and privacy practices.

• Use HTTPS for all API requests.
• Never expose API keys in frontend code.
• Store sensitive data only when required.
• Delete temporary document images after verification.
• Follow local data protection rules.

Disclaimer

This repository is only a developer example for ID verification and biometric verification workflows. Actual accuracy and supported features depend on the SDK or provider used.

FaceOnLive can be connected as an identity verification provider depending on your project needs.