Business Profile
Magenta provides open-source machine learning tools and models to help musicians, artists, and developers create music and art.
{"Musician","Artist","Developer"}
Open-source ML models for creative use with browser-based inference (Magenta.js) and live-control capabilities (Lyria RealTime API), plus DAW-integrated tools (Magenta Studio) and neural audio synthesis plugins (DDSP-VST).
Users can start experimenting within minutes using in-browser demos and Colab notebooks; deeper integration into DAWs can take longer depending on setup
The Magenta project collaborated with The Flaming Lips for a live performance at Google I/O 2019, showcasing AI-generated musical sounds using Magenta models.
An open-source research project and toolset for generating music and art with machine learning. It includes Python libraries, Magenta.js for browser inference, and a range of demos, plugins, and models for music and image data.
Musicians, artists, educators, and developers seeking to explore and create with ML-enabled music and art tools
Open-source, cross-platform ML tools for creative music and art, with browser-based inference, real-time control, and strong DAW integrations that lower barriers to experimentation.
Magenta Python library; Magenta.js (TensorFlow.js) for in-browser use; The Infinite Crate requires a Gemini API key and supports macOS/Windows with VST3/AU plugins; Magenta Studio plugins require Ableton Live integration; DDSP-VST requires a DAW.
Not specified in content; Magenta is described as open-source.
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