Stem Separation

SplitSong.com uses AI to separate uploaded MP3, WAV, or YouTube audio into individual stems—drums, bass, guitars, keys, vocals—ready for download, remixing, karaoke, or instrument study, all without any installation.

Splitter.ai automatically separates audio into 5‑stem (vocals, drums, bass, piano, other) or 2‑stem (vocal, instrumental) tracks, removes reverb, and processes YouTube and cloud uploads. It offers an API for developers and supports producers, DJs, forensic, and karaoke use.

Stems | ST‑02 uses Facebook’s Demucs library to separate vocals, drums, bass, and other elements into individual WAV files for analysis, remixing, or education. Minimal setup yields high‑quality audio, ideal for producers, DJs, and learners.

AudioShake lets artists upload MP3, WAV, FLAC, AIFF, M4A, or MP4 files and automatically separates them into individual stems—vocals, bass, drums, etc.—for remixing, sampling, or re‑mixing, streamlining post‑production workflows.

SAM Audio uses Meta’s Segment Anything Audio Model to isolate vocals, instruments, speech and effects from mixes via multimodal prompts (text, visual, time-span). It produces target and residual stems at original sample rates for production, post, and research.