LALAL.AI is a next-generation audio separation service powered by advanced AI technology. With a suite of innovative tools - Stem Splitter, Voice Cleaner, Voice Changer, Voice Cloner, VST Plugin, LALAL.AI enables users to take their audio content to the next level.
Stem Splitter
The core service of LALAL.AI allows users to extract individual vocals or instruments from audio tracks. Supported instruments include: drums, bass, piano, guitar (electric and acoustic), synthesizer, and string and wind instruments
Voice Cleaner
A powerful tool for extracting clean, clear vocals
Voice Changer
Modify the sound of a person's voice
Voice Cloner
Create custom voices
Echo & Reverb Remover
Remove unwanted echo and reverb from vocals, voice recordings, songs, and videos, all in popular audio and video formats
Lead & Back Vocal Splitter
Use state-of-the-art AI technology to precisely separate lead and backing vocal
VST Plugin
Extract stems inside your favorite DAW
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DropTrack is a music promotion platform that helps independent artists, labels, managers, DJs, playlist curators, blogs, radio contacts, and fans discover and engage with new releases. The platform supports targeted submissions, email campaigns, Spotify playlist placement, AI-generated press materials, and analytics for tracking who opened, played, downloaded, commented, or returned to a track. Artists can use DropTrack’s Music Analyzer to evaluate readiness, mood, genre, similar artists, and next steps before investing in promotion. DropTrack also helps users create album art, press releases, bios, track versions, and timestamped comments to prepare a more professional release. Labels and managers can manage multiple artists, run unlimited campaigns, use genre-based contact lists, and measure engagement across releases. Built for music promotion workflows, DropTrack helps artists and music teams get tracks ready, reach the right industry contacts, and follow up based on real listener behavior.
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Music Tag
Music Tag is a Windows and macOS application that helps users organise and complete their digital music collections by downloading missing metadata and artwork directly into the music files.
Using advanced digital fingerprinting technology and a database of over 35 million songs, Music Tag automatically finds accurate information such as title, artist, album, track number, and cover art, then updates audio files so they display correctly in music library managers like iTunes, Apple Music, Windows Media Player, and portable devices.
The app also lets users manually add, edit, or remove tags and supports common formats including MP3, MP4/AAC, WMA, and FLAC.
The free trial lets you try all manual features as well as download information and artwork for your tracks. It is limited to saving changes to a single track per run. Purchasing a license removes the limitations to enable full tagging capabilities across all files.
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