Overview
LALAL.AI separates vocals, instruments, noise and other stems from audio or video using cloud and selected on-device models. Its focused workflow supports musicians, editors and high-volume business processing, but separation artifacts, minute accounting and copyright obligations remain important constraints.Best for
Musicians, producers, educators and media teams extracting vocals, instruments or clean speech from existing audio and videoPricing and availability
A Starter option allows limited testing, while Lite and Pro subscriptions add processing capacity and features. One-time minute top-ups and custom enterprise API plans are also available.Platforms and integrations
Available through: web, windows, macos, linux, ios, android, api.LALAL.AI works through web, desktop and mobile applications, a Pro VST plugin and an enterprise API. Supported workflows include multiple stem types, de-echo, voice cleaning and numerous audio and video formats.
Privacy and security
Uploaded recordings are processed under LALAL.AI policies, while the VST can use an on-device model for selected workflows. Users remain responsible for copyright, consent and permitted use of separated material.Key strengths
- Focused vocal and instrument stem separation
- Available across web, desktop, mobile and VST workflows
- Enterprise API supports high-volume processing
Key limitations
- Complex mixes can retain bleed and separation artifacts
- Minute charges multiply when several stem types are requested
- Users must have rights to process source recordings
Editorial note
CoinBotLab independently maintains this record using current provider documentation and independent sources. Features, pricing, availability and policies can change.- Best for
- Musicians, producers, educators and media teams extracting vocals, instruments or clean speech from existing audio and video
- Supported languages
- The interface is localized into multiple languages; audio separation is language-independent, while voice cleaning quality depends on the recording