Side by side
AI Stem Separation vs Spleeter
Both stand on ai stem splitters. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
AI Stem Separation provides several separation options, multiple ways to supply audio, and downloads for use in named DAWs. Check the pack limits and retention window before relying on it for longer files or ongoing access.
Visit AI Stem SeparationChoose Spleeter Free if you need an open-source library for separating vocals and instruments, with flexible stem counts and Python or command-line access. Companies that need an enterprise API, faster processing, more accurate separation, or dedicated support can ask Deezer about Spleeter Pro. Users processing copyrighted audio must obtain authorization from rights owners.
Visit SpleeterThe facts
| AI Stem Separation | Spleeter | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Web | API, Linux, Self-hosted |
| Lowest paid plan | See the plans | Free or on request |
| Plans published | 4 | 2 |
| Maker | Not published | Not published |
| Website | aistemseparation.com | github.com |
| On ai stem splitters | #8 of 26 | #12 of 26 |
AI Stem Separation: what it does well
- Offers 2-, 4-, and 6-stem processing options
- Accepts six audio formats and YouTube or SoundCloud links
- Preview and download selected tracks or a ZIP
- Free plan includes five minutes for the current month
What to know first
- Spotify and TikTok imports are not supported
- No VST or AU plugin
- File size and duration limits vary by pack
- Processed jobs are retained for a limited window
Spleeter: what it does well
- Pre-trained models create two-, four-, or five-stem outputs.
- Developers can train models using isolated-source datasets.
- Command-line and Python library access are available.
- Supports batch processing and WAV export.
- MIT-licensed code is available as open source.
What to know first
- Using the library requires a developer-oriented setup through pip or Docker.
- The README notes Apple M1 issues related mostly to TensorFlow compatibility.
- Users need rights-owner authorization before processing copyrighted material.
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