AI Stem Splitter

AI-Powered Audio Source Separation

An AI Stem Splitter is a revolutionary tool for music producers, DJs, singers, and content creators. It utilizes machine learning models trained in audio source demixing to split a single stereo track into its individual components. These components, known as stems, typically include vocal tracks, drums, basslines, and backing instruments (melodic synths, guitars, or piano).

With our upcoming online AI Stem Splitter, separating vocals and instruments is easier than ever. Traditional audio separators require heavy downloads or paid cloud rendering. SonicLab is developing a browser-based, AI-driven stem separator using optimized neural network weights running locally via WebAssembly and ONNX Runtime. This means you will get high-quality audio extraction without waiting in cloud queues or uploading your copyrighted music to remote servers.

Whether you want to isolate vocals to make acapellas, remove vocals to create high-quality karaoke backing tracks, extract drum loops for sampling, or analyze a bassline for practice, this tool handles it in seconds. All files are processed 100% locally on your computer or phone. Upload your track (MP3, WAV, FLAC, or M4A), select the stem splitting model (2-stem vocal/instrument separation or 4-stem full band separation), and download the individual stems for free.

Frequently Asked Questions

What is an AI stem splitter?

An AI stem splitter is a tool that uses machine learning neural networks to analyze a mixed audio track and separate it into individual stems, such as acapella vocals, drum beats, bass guitar, and instrumental tracks.

Can I use this tool to make karaoke tracks?

Yes. By selecting the vocal and instrumental separation model, you can mute or subtract the vocal stem entirely, leaving a high-quality backing track suitable for karaoke, vocal practice, or video background music.

Are my songs uploaded to your servers?

No. Like all SonicLab tools, our AI stem splitter runs locally in your web browser. Your song files are never sent to external servers, providing maximum privacy and zero wait time.