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Make Music and Art
Using Machine Learning

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What is Magenta?

An open source research project exploring the role of machine learning as a tool in the creative process.


Magenta is distributed as an open source Python library, powered by TensorFlow. This library includes utilities for manipulating source data (primarily music and images), using this data to train machine learning models, and finally generating new content from these models.


Magenta.js is an open source JavaScript API for using the pre-trained Magenta models in the browser. It is built with TensorFlow.js, which allows for fast, GPU-accelerated inference. If you're interested in seeing how Magenta models have been used in existing applications or want to build your own, this is probably the place to start!

Featured projects

Magenta Studio (beta)
Magenta Studio is a collection of music plugins built on Magenta’s open source tools and models.
Learn more.
Onsets and Frames
Transcribing piano with a neural network.
Learn more.
Creating palettes for blending and exploring musical loops and scores.
Learn more.
Making music using new sounds generated with machine learning.
Learn more.

What's new?

Paint With Music
Turn your paint brush into musical instruments and compose on sensorial canvases! Read the blog post.
HCI and ML: Putting People First
We highlight work done in collaboration with Human Computer Interaction (HCI) colleagues that optimize models for human values. Read the blog post.
Modern Evolution Strategies for Creativity
Modern evolution to artistically fit concreate images and abstract concepts. Read the blog post.
Music Transcription with Transformers
We discuss Magenta's research into using off-the-shelf Transformer models for music transcription. Read the blog post.
See more posts.