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google-ai-edge / mediapipe

git clone https://github.com/google-ai-edge/mediapipe.git v1.1.1 · 8d ago

Cross-platform, customizable ML solutions for live and streaming media.

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2026-10-20 · 37,345 ★ 2026-10-23 · 37,374 ★
LanguageC++
LicenseApache-2.0
Created2019-06-13 (7y ago)
Last pushtoday
Watchers534
OwnerOrganization

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README excerpt
---
layout: forward
target: https://developers.google.com/edge/mediapipe
title: Home
nav_order: 1
---
----
**Attention:** *See https://developers.google.com/edge/mediapipe
for the primary developer documentation site for MediaPipe.*
**On-device machine learning for everyone**
Delight your customers with innovative machine learning features. MediaPipe
contains everything that you need to customize and deploy to mobile (Android,
iOS), web, desktop, edge devices, and IoT, effortlessly.
* See demos
* Learn more
## Get started
You can get started with MediaPipe Solutions by following the developer guides
for each solution, including:
* audio
* decision
* genai
* retrieval
* text
* vision
If you need help setting up a development environment for use with MediaPipe
Tasks, follow our setup guides for:
* Android
* iOS
* Python
* Web apps
## Solutions
MediaPipe Solutions provides a suite of libraries and tools for you to quickly
apply artificial intelligence (AI) and machine learning (ML) techniques in your
applications. You can plug these solutions into your applications immediately,
customize them to your needs, and use them across multiple development
platforms. MediaPipe Solutions is part of the MediaPipe open source
project, so you can further
customize the solutions code to meet your application needs.
These libraries and resources provide the core functionality for each MediaPipe
Solution:
* **MediaPipe Tasks**: Cross-platform APIs and libraries for deploying
 solutions. Learn
 more.
* **MediaPipe models**: Pre-trained, ready-to-run models for use with each
 solution.
To customize and evaluate solutions, use **MediaPipe Studio**. It lets you
visualize, test, and benchmark solutions in your browser.
Learn more and
see our demos.
## Framework
To start using MediaPipe Framework, install MediaPipe
Framework
and start building example applications in C++, Android, and iOS.
MediaPipe Framework is
the low-level component used to build efficient on-device machine learning
pipelines, similar to the premade MediaPipe Solutions.
Before using MediaPipe Framework, familiarize yourself with the following key
Framework
concepts:
* Packets
* Graphs
* Calculators
## Community
* Discuss - General
 community discussion around MediaPipe.
* Awesome MediaPipe - A
 curated list of awesome MediaPipe related frameworks, libraries and
 software.
## Contributing
We welcome contributions. Please follow these
guidelines.
We use GitHub issues for tracking requests and bugs. Please post questions to
the MediaPipe Stack Overflow with a `mediapipe` tag.
## Privacy Notice
Last modified: June 5, 2026
When you use MediaPipe Tasks, processing of the input data (e.g. images, video,
text) takes place on device, and MediaPipe does not send that input data to
Google servers. As a result, you can use our MediaPipe Tasks APIs for processing
data that should not leave the device.
MediaPipe Tasks APIs send metrics about the performance and utilization of the
APIs in your app to Google. Google