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.