Splitter AI Overview
Splitter is an innovative AI-driven audio processing platform that specializes in isolating and extracting different elements from audio tracks, such as vocals and instruments. Developed by a team with deep roots in music production and audio engineering, this tool is tailored for a diverse range of users including music producers, DJs, artists, forensic engineers, and even karaoke enthusiasts. By leveraging advanced machine learning software, Splitter aims to enhance the creative process in music production and audio analysis.
Splitter AI Key Features
- 2 Stem and 5 Stem Models: Splitter offers two powerful models for audio extraction. The 2 Stem model isolates instrumental and vocal tracks, while the 5 Stem model can separate vocals, drums, bass, piano, and additional instruments.
- Reverb Removal: This feature allows users to eliminate unwanted reverb from their audio tracks, providing a cleaner sound and improving the overall quality of recordings.
- Direct YouTube Splitting: Users can directly split audio from YouTube videos, making it easy to work with a wide range of content and access the materials they need for their projects.
- Cross-Platform Compatibility: Splitter is accessible on all platforms, including cloud, desktop, and mobile (iOS and Android), ensuring users have flexibility and convenience no matter what device they’re using.
- Community-Centric Development: Supported by a growing user community, Splitter values user feedback and actively seeks contributions to enhance and sustain the platform for everyone.
Whether you're a seasoned audio professional or a hobbyist, Splitter provides the tools and technology needed to take your audio projects to the next level.
