Coolo.ai

The platform's flagship capability is AI-powered stem separation, which deconstructs any audio track into its individual musical components including vocals, drums, bass, piano, and guitar, enabling detailed editing, remixing, sampling, and arrangement work that was previously only possible with full multitrack session files.

The stem splitter is built on deep learning models trained on large corpora of professionally recorded music, giving it the ability to perform clean, low-artifact separations even on highly compressed or commercially released tracks.

Users who need to remove a vocal track for karaoke, isolate a drum groove for sampling, extract a guitar riff for transcription, or separate lead and backing vocals for individual processing can accomplish each of these tasks with high accuracy and minimal bleed between separated stems.

Beyond stem separation, Coolo.ai offers a comprehensive suite of AI audio enhancement tools. The vocal splitter distinguishes between lead and backing vocal layers with precision, allowing producers and mixing engineers to analyze, balance, or creatively process vocal arrangements.

Noise reduction removes background hiss, room noise, and unwanted ambient sound from recordings. Echo and reverb removal tools strip artificial or room-based spatial effects from audio, restoring dry signal clarity for re-processing in a new acoustic context.

BPM and key detection tools provide instant, accurate tempo and musical key identification for any uploaded audio file. This metadata is essential for DJs building set transitions, producers aligning samples to project tempo, and music educators analyzing songs for teaching purposes.

The speech enhancement module additionally improves the clarity and presence of voice recordingsuseful for podcast producers cleaning up interview audio captured in imperfect acoustic environments.