Discover what Lalal.ai does and how its Phoenix neural network separates vocals, drums, and instruments from audio and video files.

Lalal.ai is an audio tool that uses a neural network called Phoenix to automatically separate audio sources. It can remove vocals, instrumental tracks, drums, bass, piano, electric guitar, acoustic guitar, and synthesizer parts from audio without losing quality. It’s available as a desktop app for Windows, macOS, and Linux, and works by combining deep learning with signal processing techniques.
Beyond stem splitting, Lalal.ai offers AI-powered music generation, a large library of ready-made tracks, stem extraction technology, and noise cancellation. It can split audio into 10 different stems, pulling out various elements from audio and video files.
LALAL.AI was built by a team with expertise in artificial intelligence, machine learning, mathematical optimization, and digital signal processing. The company behind it is Omnisale GmbH, based in Switzerland, with the goal of simplifying audio and video work for professionals across industries. They have developed several neural networks for audio separation, including Rocknet, Cassiopeia, Phoenix, and Orion.
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