OnStem: Local music split

OnStem: AI Music Separation is an on-device AI-powered music separation tool that allows you to split audio tracks into individual stems with privacy and performance in mind.

Powered by optimized local inference based on the open-source Spleeter project, OnStem performs all audio processing entirely on your device, without uploading files to any server.

Key Features

AI Music Separation
Separate audio into 2 stems: Vocal and Accompaniment
Separate audio into 5 stems: Vocal, Piano, Drums, Bass, and Accompaniment

On-Device AI Processing
All processing runs locally using on-device AI models
No audio files are uploaded or shared
Your content stays private on your device

Optimized for Long Audio
Custom optimizations allow processing of very long audio files
Designed for stability and efficiency on mobile devices

Multiple Export Formats
Export separated tracks as MP3, WAV, M4A, or AAC
Easily integrate with other audio tools and workflows

Privacy First

OnStem is a local-first application.
All selected files are processed on your device only.
No audio data or personal information is collected, stored, or uploaded.

Subscriptions and Purchases

OnStem offers both subscription plans and a one-time purchase option.

Monthly subscription
Quarterly subscription
Annual subscription
One-time lifetime purchase (where available)

Payment will be charged to your Apple ID account at confirmation of purchase.
Subscriptions automatically renew unless auto-renew is turned off at least 24 hours before the end of the current period.
You can manage or cancel your subscription at any time in your Apple ID account settings.

Prices may vary by region and are displayed before purchase.

Legal

Privacy Policy
https://github.com/yangliu-1995/stemify-legal/blob/main/Privacy-Policy/EN.md

Terms of Use
https://github.com/yangliu-1995/stemify-legal/blob/main/Term-of-Use/EN.md

OnStem is designed for creators who value privacy, performance, and on-device AI processing.