Fadr vs StemDeck
Fadr
fadr.comStemDeck
github.comSide by side
| Figure | Fadr | StemDeck |
|---|---|---|
| Price from | $8.33/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | — | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 3 | 1 |
| Spec score · Stem Separation Software | 9.3 (#2) | 7.6 (#14) |
| Self-hosting | Fadr documents cloud processing and storage and provides no self-hosting deployment option. | The project documents Docker and Unraid deployment as well as running the web server from source. |
Plans
In their own words
Fadr
Fadr is a music tool for separating vocals and 15 other instruments from songs, making remixes and DJ sets, and creating instruments and drum kits with AI. Fadr Basic offers unlimited stems, remixes, and DJ sets, with high-quality MP3 downloads; song uploads on Basic are limited to 10 minutes. Fadr Plus provides 18 stem types, uploads up to one hour, WAV downloads, plugins, API access, and unlimited storage for $10/mo.
Siren makes playable instruments from words and provides ADSR controls and low-pass, high-pass, band-pass, and notch filters. DrumGPT creates 16-element drum kits from text prompts, with pitch, volume, and amplitude-envelope controls. The Stems Plugin works with major DAWs and other software that supports VST3, with Windows VST3 and Mac VST3/AU support. Siren is available online, as an iPhone and iPad app, and as an audio plugin. The API separates songs into vocals, drums, bass, melodies, and instrumental, and detects MIDI, chords, key, and tempo. API use requires Fadr Plus; its Create Stem Task endpoint costs US$0.05 per minute of audio.
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.