Key value
Runs entirely offline: All processing is done locally on your device, ensuring total privacy for your personal recordings, commercial masters, and unreleased works.
Professional AI Stem Separator
Pure Spleeter is a powerful and intuitive desktop AI audio processing software. Built on industry-leading deep learning models, it accurately and efficiently separates mixed music into independent, high-quality vocal, instrumental, and individual stem tracks. No complex audio editing experience required—just simple operations to unleash endless possibilities for your music creation, instrument practice, and video mixing.
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Runs entirely offline: All processing is done locally on your device, ensuring total privacy for your personal recordings, commercial masters, and unreleased works.
Supports folder import and automatic scanning for seamless batch processing.
Offers Vocal/Accompaniment (2 stems), Standard 4 stems, and Pro 6 stems modes. Whether you're making a backing track, extracting drums, or isolating guitars and pianos, it handles various needs with precision.
Import entire music folders for automatic scanning. You can queue up multiple tracks for processing all at once, freeing up your hands and greatly increasing efficiency.
No internet connection required. It runs model inference directly using your system's local computing power, keeping your audio files completely safe.
In addition to the intuitive GUI, pro subscribers can unlock a geek-friendly CLI mode. Easily integrate audio separation capabilities into your automation scripts or build pipelines.
No, it runs entirely offline locally. All processing is done on your device, ensuring complete privacy.
It supports 2-stem (Vocal/Accompaniment), 4-stem (Vocal, Drums, Bass, Other), and 6-stem (Vocal, Drums, Bass, Guitar, Piano, Other) separation modes.
Yes, it supports importing entire music folders and automatically scans them, allowing you to queue and process multiple tracks in a single batch.
You can reach us via email [email protected] or submit issues and suggestions through GitHub Issues.