LALAL.AI
About
The platform employs a proprietary neural network architecture called Rocknet that has been specifically trained for audio source separation. Unlike traditional audio separation methods that often produce artifacts and degraded audio quality, LALAL.AI's deep learning approach produces clean separations that preserve the quality of each extracted stem. The system supports separation of up to 10 different stem types: vocals, instrumental, drums, bass, electric guitar, acoustic guitar, piano, synthesizer, wind instruments, and string instruments.
Users upload audio or video files through the web interface, select the desired separation type, and receive the isolated stems as downloadable files. LALAL.AI supports a wide range of input formats including MP3, WAV, FLAC, OGG, AAC, and video formats like MP4 and AVI. The platform processes files through cloud-based infrastructure and returns results quickly even for long recordings.
LALAL.AI is used by music producers for sampling and remixing, DJs creating custom edits, karaoke enthusiasts removing vocals, content creators needing isolated music elements, podcasters separating speech from background music, and audio engineers working with legacy recordings. The service is available as a web application with a pay-per-minute pricing model and subscription options. LALAL.AI was founded in 2020 and is headquartered in Limassol, Cyprus.
AI Audio Editors
LALAL.AI provides AI-powered audio source separation that isolates individual elements from mixed audio tracks. Using its proprietary Rocknet neural network, it can extract vocals, drums, bass, guitar, piano, synthesizer, and other stems from any recording with minimal artifacts. The tool is essential for remixing, sampling, karaoke creation, and audio restoration workflows.
AI Audio Models
LALAL.AI develops the proprietary Rocknet neural network architecture, specifically designed for high-fidelity audio source separation. The model is trained to decompose complex audio mixes into up to 10 individual stem types while preserving audio quality, representing a significant advancement over traditional signal processing approaches to audio separation.
AI Music Generators
LALAL.AI supports music production and creation workflows by enabling producers to extract and isolate individual instruments and vocals from existing recordings. This stem separation capability is fundamental to modern music production techniques including sampling, remixing, mashup creation, and remastering of legacy recordings.
AI Sound Effects
LALAL.AI's stem separation technology enables extraction of specific sound elements from mixed audio recordings, making it valuable for sound design workflows. Audio producers can isolate individual instruments, vocal elements, or ambient sounds from existing recordings for use in film scoring, game audio design, and multimedia production.
