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🐳 Docker Hub - Here

FacePlugin Face Liveness Detection SDK — Fully On-Premise

iBeta Level 2 class passive face liveness detection SDK. Stops printed photos, video replay, 3D masks, and deepfake-style attacks — on your device, with no data leaving the device. Jump: Try it · Screenshots · Platforms · Products · Contact

Overview

FacePlugin Face Liveness Detection SDK is a fully on-premise liveness detection SDK (presentation-attack detection) for KYC, eKYC, and remote identity verification.

It is iBeta Level 2 compliant passive liveness: no smile / turn-head challenge, no extra hardware, no FacePlugin cloud. A live camera frame or a still RGB face is scored for print, replay, screen, 3D mask, and deepfake threats.

All processing stays on the phone or in your VPC. NO biometric data leaves the device.

Docs: https://doc.faceplugin.com

You need	This SDK returns
Passive PAD	Score + Real / Spoof + pass / fail
Mobile KYC	Live camera HUD (track / liveness / luminance)
Server KYC	POST /api/liveness on Linux / Docker
Privacy	100% on-device / on-premise

Need 1:1 / 1:N face match as well? Use Face Recognition SDK.

Try it

Mobile SDK on Google Play

Server SDK on Playground & Hugging Face

• FacePlugin Playground — try the server liveness detection SDK in the browser
• Hugging Face Space — face recognition + liveness demo

Linux / Docker (no Drive)

docker pull faceplugin/face-liveness:latest
docker run -d --name faceplugin-face-liveness \
  --shm-size=2gb --privileged \
  -p 8084:8084 \
  -v /etc/machine-id:/etc/machine-id:ro \
  faceplugin/face-liveness:latest
curl -s http://127.0.0.1:8084/api/health

curl -s -X POST http://127.0.0.1:8084/api/liveness \
  -H 'Content-Type: application/json' \
  -d '{"image":"<base64-jpeg>"}'

Score ≥ 0.5 → Real / pass: true. Full guide: FaceLivenessDetection-Docker.

Screenshots

Home	Liveness	Settings	About

On YouTube

Choose your platform

This GitHub repo is the product hub. Clone the platform SDK you need — each one is standalone. Engine binaries are on Google Drive (too large for GitHub); Docker Hub already includes the runtime.

Platform	Repository	Fastest path
Android (Java, Kotlin)	FaceLivenessDetection-Android	Drop facelivenessdk.aar → Liveness tile
iOS (Objective-C, Swift)	FaceLivenessDetection-iOS	Add frameworks → run the sample
Windows	FaceLivenessDetection-Windows	Native Windows liveness demo
Linux / Docker	FaceLivenessDetection-Docker	docker pull faceplugin/face-liveness

Building enroll + identify + liveness together? Start from Face Recognition (liveness is on the identify / capture path):

Combined KYC	Repository
Android	FaceRecognition-Android
iOS	FaceRecognition-iOS
React Native	FaceRecognition-React-Native
Flutter	FaceRecognition-Flutter
Ionic Capacitor	FaceRecognition-Ionic-Capacitor
Ionic Cordova	FaceRecognition-Ionic-Cordova
Windows	FaceRecognition-Windows
Linux / Docker	FaceRecognition-Docker

List of our Products

Face Recognition with Liveness Detection

• Android (Java, Kotlin)
• iOS (Objective-C, Swift)
• React Native
• Flutter
• Ionic Capacitor
• Ionic Cordova
• .NET MAUI
• .NET WPF
• JavaScript
• React
• Vue
• Windows
• Linux / Docker

Face Liveness Detection SDK

• Android (Java, Kotlin)
• iOS (Objective-C, Swift)
• Windows
• Linux / Docker

More FacePlugin

• Face Recognition SDK (hub)
• Face Liveness Detection SDK (this hub)
• Open Source Face Recognition SDK
• Palm Recognition SDK
• ID Document Recognition SDK
• ID Document Liveness Detection

Contact