stemrollerapp/stemroller
Isolate vocals, drums, bass, and other instrumental stems from any song
What it solves
StemRoller provides a simple, free application that allows users to separate a song's vocals and instrumental tracks (stems) without needing technical expertise. It removes the complexity of using command-line tools by integrating song search and audio separation into a single interface.
How it works
The app integrates YouTube search results to find songs and uses Facebook's Demucs algorithm to perform the audio demixing process. Users search for a song, select it from the results, and the app handles the downloading and splitting of the audio into separate stems.
Who it’s for
Musicians, DJs, and audio engineers who need isolated vocal or instrumental tracks from existing songs.
Highlights
- One-click stem separation from any song.
- Integrated YouTube search for easy song discovery.
- Powered by the state-of-the-art Demucs algorithm.
- Free to use.
Related
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stemdeckapp/stemdeckA free, local audio stem separation tool that splits songs into isolated tracks like vocals and drums using Demucs, providing a DAW-style mixer for local playback and export.
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nomadkaraoke/python-audio-separatorA Python package for audio stem separation that uses UVR models to split audio files into vocals, instrumentals, and other specific instrument tracks.
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SUC-DriverOld/MSST-WebUIA web-based interface for Music-Source-Separation-Training that allows users to isolate vocals and instruments from music tracks using various AI models.
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ZFTurbo/Music-Source-Separation-TrainingAn open‑source Python framework for training, evaluating, and running inference with many state‑of‑the‑art music source‑separation models. It provides config‑driven training (single‑GPU or multi‑GPU), LoRA fine‑tuning, a CLI, a small GUI, and scripts for ensembling and converting models to ONNX/TensorRT.