InSplitter vs StemDeck
InSplitter
insplitter.comStemDeck
github.comSide by side
| Figure | InSplitter | StemDeck |
|---|---|---|
| Price from | $15/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 3 | 1 |
| Spec score · Stem Separation Software | 8.0 (#8) | 7.6 (#14) |
Plans
In their own words
InSplitter
InSplitter is a browser service that uses AI to separate uploaded songs and videos into vocals, instrumentals, bass, drums, and other stems. Users can preview tracks in its player and download individual files or a complete bundle; separated output is WAV at 44.1kHz and 16-bit. It also provides vocal extraction, instrumental creation, pitch and speed controls, key and BPM detection, audio cutting and joining, and audio or karaoke recording. Listed inputs include MP3, WAV, FLAC, AAC, OGG, M4A, WMA, AIFF, MP4, AVI, MOV, MKV, WebM, FLV, and WMV. Demucs-based models support remixing, practice, and production workflows. The free plan permits files up to 50MB. Pro costs $15/month when billed annually or $19/month monthly, with files up to 500MB and batches of five. Uploads use HTTPS; results are deleted within 24 hours.
StemDeck
StemDeck separates songs into stems for practice, study, transcription, remixing, and other creative audio work. Its Demucs htdemucs_6s model separates vocals, drums, bass, guitar, piano, and other sounds. Files accepted include MP3, WAV, FLAC, OGG/Opus, MP4, and M4A, and songs can also be supplied by YouTube URL. The workspace provides waveform lanes, mute and solo controls, volume adjustment, and looping; users can export individual stems or a custom mix in WAV or MP3. Song analysis includes BPM, key, scale, confidence, integrated LUFS, and sample peak level. StemDeck says audio processing runs locally and the app does not transmit, store, cache, or redistribute audio. Internet access is needed for YouTube downloads and an initial model fetch of about 170 MB, which is cached afterward. The project documents Docker and Unraid deployment, source-based web-server use, and a local REST API. It is free, with no account, quota, uploads, or subscription, but handles one job at a time, supports up to six stems, and has no mobile app.