Blotter – An interactive, never ending music video
One day I was listening to a playlist and wished there could be some cool visuals to go along with it. Blotter is a proof of concept I hacked together that does a bit of audio recognition combined with a few generative AI models (both text and img) to create visuals that are relevant to the song. The video stream is generated in real time at 24fps - you can try it yourself by requesting visuals in the Twitch chat using the "!v" command! Right now it's mostly a fun hack project, but I am tinkering with new model architectures for higher fidelity video as well as an interactive tool so people…
In plain words
Blotter is an interactive music visualization tool that generates real-time video accompaniment for songs using audio recognition and generative AI. It analyzes music playing on a Twitch stream and creates relevant visuals at 24fps, which viewers can influence by requesting specific visual styles through chat commands. The project combines text and image generation models to match audio content, and the creator is working on improving video quality and developing an interactive version for personal audio files.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
One day I was listening to a playlist and wished there could be some cool visuals to go along with it. Blotter is a proof of concept I hacked together that does a bit of audio recognition combined with a few generative AI models (both text and img) to create visuals that are relevant to the song. The video stream is generated in real time at 24fps - you can try it yourself by requesting visuals in the Twitch chat using the "!v" command! Right now it's mostly a fun hack project, but I am tinkering with new model architectures for higher fidelity video as well as an interactive tool so people can make videos with their own audio files. I'd love to hear any feedback or suggestions, thanks!
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