Live ML anywhere

MediaPipe offers open source cross-platform, customizable ML solutions for live and streaming media.

Android

iOS

Python

JavaScript

Solutions Code

Solutions

Explore what is possible with MediaPipe today

Selfie Segmentation

Provides segmentation masks for prominent humans in the scene

Face Mesh

468 face landmarks in 3D with multi-face support

Hand Tracking

21 landmarks in 3D with multi-hand support, based on high-performance palm detection and hand landmark model

Human Pose Detection and Tracking

High-fidelity human body pose tracking, inferring up to 33 3D full-body landmarks from RGB video frames

Hair Segmentation

Super realistic real-time hair recoloring

Object Detection and Tracking

Detection and tracking of objects in video in a single pipeline

Face Detection

Ultra lightweight face detector with 6 landmarks and multi-face support

Holistic Tracking

Simultaneous and semantically consistent tracking of 33 pose, 21 per-hand, and 468 facial landmarks

3D Object Detection

Detection and 3D pose estimation of everyday objects like shoes and chairs

And More Solutions

See code samples on how to run MediaPipe on mobile (Android/iOS), desktop/server and Edge TPU

End-to-end acceleration

Built-in fast ML inference and processing accelerated even on common hardware

Build once, deploy anywhere

Unified solution works across Android, iOS, desktop/cloud, web and IoT

Free and open source

Framework and solutions both under Apache 2.0, fully extensible and customizable

Used in leading ML products and teams

“MediaPipe has supercharged our work on vision and hearing features for Nest Hub Max, allowing us to bring features like Quick Gestures to our users.”

Geremy Heitz

Google Nest

“The reusability of MediaPipe components and how easy it is to swap out inputs/outputs saved us a lot of time on preparing demos for different customers.”

Henry Tran

Google Cloud

“MediaPipe has made it extremely easy to build our 3D person pose reconstruction demo app, facilitating accelerated neural network inference on device and synchronization of our result visualization with the video capture stream. Highly recommended!”

George Papandreou

Ariel AI, CTO

“MediaPipe is one of the most widely shared and re-usable libraries for media processing within Google.”

Kahye Song

Google Nest Cam