Spleeter — Isolate vocals and instruments
Spleeter is an open-source source separation library for musicians and audio engineers to isolate stems from music files
Spleeter is an open-source audio source separation library that allows users to extract vocals and instruments from any music file. This tool is built specifically for musicians, content creators, and audio engineers who need to isolate specific components of a track for professional projects. By utilizing deep learning models based on TensorFlow, the software can split songs into two, four, or five separate stems with high precision. For business owners in the media and entertainment space, Spleeter provides a cost-effective way to create instrumental versions or vocal-only tracks without expensive studio sessions. The tool supports high-speed processing and can handle batches of audio files significantly faster than real-time playback. Users typically utilize this technology to prepare tracks for remixes, podcasts, or background music in marketing videos. Integrating this library into your existing 2026 production pipeline is straightforward for technical teams. You can find more detail on how to deploy this for your media business on surfai.app today. Spleeter is particularly useful for DJs and live performers who need to create custom mashups or isolated acapellas for their sets. Because the software is open-source, it is available to use for free under an MIT license.
- Pricing: free
Specifications
| Pricing | free |
|---|---|
| Integrations | TensorFlow, Python, FFmpeg, Librosa, Pandas |
| Best for | musicians, content-creators, djs, audio-engineers |
| Website status checked | 2026-10-23T06:00:12.526+00:00 |
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|---|---|---|---|
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