Split a Song into Stems
Break a finished song back into its parts for remixing, re-balancing or study. Separation runs on open-source models with commercially licensed weights: Mel-Band RoFormer for vocals and SCNet for drums, bass and other.
AI model This tool runs a generative AI model on a GPU, so it takes longer than the instant filters. Free to try; paid plans get priority on the GPU.
How it works
Mel-Band RoFormer separates the vocal from the instrumental, then SCNet splits that instrumental into drums, bass and other. You download four files: vocals, drums, bass and other, which add back up to the original mix. Each model learns what its sources look like in a finished mix, so it works on any song rather than relying on panning tricks.
What it's good for
- Remixing and production
- Music education and analysis
- Re-balancing a stereo mix
- Sampling individual instruments
Details
- Engine
- Mel-Band RoFormer + SCNet
- Formats
- MP3, WAV, M4A, FLAC, OGG, AAC
- Price
- Free to try