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google-ai-edge/mediapipe · source

Snapshot 0 · 2026-11-04T12:47:25Z · C++ · Apache-2.0

GitHub description at capture

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

README at capture

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target: https://developers.google.com/edge/mediapipe
title: Home
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**Attention:** *See [https://developers.google.com/edge/mediapipe](https://developers.google.com/edge/mediapipe/solutions/)
for the primary developer documentation site for MediaPipe.*

![MediaPipe](https://developers.google.com/static/mediapipe/images/home/hero_01_1920.png)

**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](https://google-ai-edge.github.io/mediapipe-samples-web/#/home)
*   [Learn more](https://developers.google.com/edge/mediapipe/solutions)

## Get started

You can get started with MediaPipe Solutions by following the developer guides
for each solution, including:

*   [audio](https://developers.google.com/edge/mediapipe/solutions/audio/audio_classifier)
*   [decision](https://developers.google.com/edge/mediapipe/solutions/decision/decision_maker)
*   [genai](https://developers.google.com/edge/mediapipe/solutions/genai/llm_inference)
*   [retrieval](https://developers.google.com/edge/mediapipe/solutions/retrieval/semantic_retriever)
*   [text](https://developers.google.com/edge/mediapipe/solutions/text/text_classifier)
*   [vision](https://developers.google.com/edge/mediapipe/solutions/vision/object_detector)

If you need help setting up a development environment for use with MediaPipe
Tasks, follow our setup guides for:

*   [Android](https://developers.google.com/edge/mediapipe/solutions/setup_android)
*   [iOS](https://developers.google.com/edge/mediapipe/solutions/setup_ios)
*   [Python](https://developers.google.com/edge/mediapipe/solutions/setup_python)
*   [Web apps](https://developers.google.com/edge/mediapipe/solutions/setup_web)

## 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](https://github.com/google-ai-edge/mediapipe), 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](https://developers.google.com/edge/mediapipe/solutions/tasks).
*   **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](https://developers.google.com/edge/mediapipe/solutions/studio) and
[see our demos](https://google-ai-edge.github.io/mediapipe-samples-web/).

## Framework

To start using MediaPipe Framework, [install MediaPipe
Framework](https://developers.google.com/edge/mediapipe/framework/getting_started/install)
and start building example applications in C++, Android, and iOS.

[MediaPipe Framework](https://developers.google.com/edge/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](https://developers.google.com/edge/mediapipe/framework/framework_concepts/overview):

*   [Packets](https://developers.google.com/edge/mediapipe/framework/framework_concepts/packets)
*   [Graphs](https://developers.google.com/edge/mediapipe/framework/framework_concepts/graphs)
*   [Calculators](https://developers.google.com/edge/mediapipe/framework/framework_concepts/calculators)

## Community

*   [Discuss](https://groups.google.com/forum/#!forum/mediapipe) - General
    community discussion around MediaPipe.
*   [Awesome MediaPipe](https://github.com/mgyong/awesome-mediapipe) - A
    curated list of awesome MediaPipe related frameworks, libraries and
    software.

## Contributing

We welcome contributions. Please follow these
[guidelines](https://github.com/google-ai-edge/mediapipe/blob/master/CONTRIBUTING.md).

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 uses this metrics data to measure
performance, usage, debug, maintain and improve the MediaPipe Tasks, as further
described in our [Privacy Policy](https://policies.google.com/privacy).

**You are responsible for obtaining informed consent from your app users about
Google's processing of MediaPipe metrics data as required by applicable law.**

###Publications

*   [Bring multimodal semantic search to the edge with EmbeddingGemma 2](https://developers.googleblog.com/google-ai-edge-with-embeddinggemma-2/)
    in Google Developers Blog
*   [Bringing artworks to life with AR](https://developers.googleblog.com/bringing-artworks-to-life-with-ar/)
    in Google Developers Blog
*   [Prosthesis control via Mirru App using MediaPipe hand tracking](https://developers.googleblog.com/prosthesis-control-via-mirru-app-using-mediapipe-hand-tracking/)
    in Google Developers Blog
*   [SignAll SDK: Sign language interface using MediaPipe is now available for
    developers](https://developers.googleblog.com/signall-sdk-sign-language-interface-using-mediapipe-is-now-available-for-developers/)
    in Google Developers Blog
*   [MediaPipe Holistic - Simultaneous Face, Hand and Pose Prediction, on
    Device](https://research.google/blog/mediapipe-holistic-simultaneous-face-hand-and-pose-prediction-on-device/)
    in Google AI Blog
*   [Background Features in Google Meet, Powered by Web ML](https://research.google/blog/background-features-in-google-meet-powered-by-web-ml/)
    in Google AI Blog
*   [MediaPipe 3D Face Transform](https://developers.googleblog.com/mediapipe-3d-face-transform/)
    in Google Developers Blog
*   [Instant Motion Tracking With MediaPipe](https://developers.googleblog.com/instant-motion-tracking-with-mediapipe/)
    in Google Developers Blog
*   [BlazePose - On-device Real-time Body Pose Tracking](https://research.google/blog/on-device-real-time-body-pose-tracking-with-mediapipe-blazepose/)
    in Google AI Blog
*   [MediaPipe Iris: Real-time Eye Tracking and Depth Estimation](https://research.google/blog/mediapipe-iris-real-time-iris-tracking-depth-estimation/)
    in Google AI Blog
*   [MediaPipe KNIFT: Template-based feature matching](https://developers.googleblog.com/mediapipe-knift-template-based-feature-matching/)
    in Google Developers Blog
*   [Alfred Camera: Smart camera features using MediaPipe](https://developers.googleblog.com/alfred-camera-smart-camera-features-using-mediapipe/)
    in Google Developers Blog
*   [Real-Time 3D Object Detection on Mobile Devices with MediaPipe](https://research.google/blog/real-time-3d-object-detection-on-mobile-devices-with-mediapipe/)
    in Google AI Blog
*   [AutoFlip: An Open Source Framework for Intelligent Video Reframing](https://research.google/blog/autoflip-an-open-source-framework-for-intelligent-video-reframing/)
    in Google AI Blog
*   [MediaPipe on the Web](https://developers.googleblog.com/mediapipe-on-the-web/)
    in Google Developers Blog
*   [Object Detection and Tracking using MediaPipe](https://developers.googleblog.com/object-detection-and-tracking-using-mediapipe/)
    in Google Developers Blog
*   [On-Device, Real-Time Hand Tracking with MediaPipe](https://research.google/blog/on-device-real-time-hand-tracking-with-mediapipe/)
    in Google AI Blog
*   [MediaPipe: A Framework for Building Perception Pipelines](https://arxiv.org/abs/1906.08172)