Introduction

Sense Face Match leverages state-of-the-art deep learning models to deliver highly accurate face detection, embedding extraction, and face comparison. Designed for both developers and enterprises, it supports secure user authentication, and face match checks —all while keeping biometric data private and local.

Whether you are building secure onboarding for fintech or adding face login to your app, Sense Face Match provides the tools and flexibility you need.

Install Python Dependencies

pip install -r requirements.txt

Start the FastAPI Server

uvicorn app:app --reload

This will start the API server on: http://localhost:3015

Running with Docker

Build Docker Image

docker build -t sense_face_verification_image .

Run Docker Container

docker run -d --name sense_face_verification_container -p 3015:3015 sense_face_verification_image

This will start the API server on: http://localhost:3015

4. Run the Frontend

cd front-end npm install npm run dev

By default, the frontend runs on: http://localhost:3010

Useful Docker Commands

Stop container

docker stop sense_face_verification_container

Remove container

docker rm -f sense_face_verification_container

Remove image

docker rmi -f sense_face_verification_image

View logs

docker logs sense_face_verification_container

License

MIT License — free to use, share, and modify.

Demo url

https://getsense.co/face-match/