Any audio or video can be extracted to extract vocal, accompaniment, and other instruments. High-quality stem cutting based on the #1 AI-powered technology in the world. Next-generation vocal remover and music source separator service for fast, simple, and precise stem removal. You can remove vocal, instrumental, drums and bass tracks, as well as acoustic guitar, electric guitar, and synthesizer tracks, without any quality loss. You can start the service free of charge. Upgrade to get more files processed and faster results. Only for personal use. Move to the next level. You can process thousands of minutes of audio and/or video. This software is suitable for both personal and business use. Each LALAL.AI package has a limit on the amount of audio/video that can be split. The package minute limit is deducted from each file that has been fully split. You can split as many files you like, provided their total length does not exceed the minute limit.
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DropTrack is a music promotion and release management platform for independent artists, labels, managers, DJs, playlist curators, bloggers, radio contacts, and industry influencers. The platform helps users prepare tracks for promotion, pitch the right contacts, and measure how people respond to each release. DropTrack’s Music Analyzer gives artists a readiness score, mood, genre, similar artist references, and practical next steps before they spend money on promotion. Users can also generate release assets such as album art, press releases, artist bios, track versions, and professional campaign materials. The platform supports targeted submissions to labels, DJs, playlist curators, blogs, radio stations, and other contacts that fit a song’s genre and audience. Email campaign tools let users send music to their own lists or use DropTrack’s genre-based contact lists, then track opens, plays, downloads, comments, and follow-up signals. Spotify playlist placement options help artists pursue real playlist exposure while avoiding fake or bot-driven lists. DropTrack also connects with AI assistants such as Claude, ChatGPT, Cursor, and Copilot so users can create weekly label briefs, campaign drafts, contact ideas, and release checklists from account data. By combining track analysis, release preparation, contact lists, submissions, playlist placement, email campaigns, and analytics, DropTrack helps music teams promote smarter and build stronger fan and industry relationships.
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IAmABAND
Introducing "I am a Band," the premier music player and editing application designed specifically for Android devices. The standout feature of our app is its capability to separate any audio file into individual tracks, allowing users to isolate specific instruments like vocals, guitar, drums, bass, and piano. This functionality empowers you to craft your own unique remixes and mashups, with the option to export single tracks as MP3 files. Beyond this robust feature set, "I am a Band" boasts an intuitive interface, superior audio playback, vocal removal options, precise volume adjustments, and tools for editing lyrics. Additionally, you can refine your music using our pitch and tempo adjustment features, and enjoy the convenience of offline playback, making it easy to listen to your creations wherever you are. With "I am a Band," the possibilities for musical creativity are nearly endless, making it an essential tool for music enthusiasts.
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MSVEP
MVSEP is a web-based service that leverages artificial intelligence technology to decompose audio files into separate elements, such as vocals and musical instruments. Users are able to upload audio files with a maximum size of 100MB in various formats and choose from a selection of AI models for the separation process. The platform provides both free and premium subscription options, where premium users gain access to enhanced models that can isolate additional components, including bass, drums, piano, guitar, and more. The output files are available for download in several formats, including MP3, WAV, FLAC, and M4A. This service is especially advantageous for musicians, producers, and audio engineers who aim to extract specific audio elements for purposes such as remixing, analysis, or practice. Currently, MVSEP operates with two distinct datasets; the first is a synthetic dataset designed to evaluate separation quality between vocals and instruments, while the second is a diverse multisong dataset featuring individual tracks across various genres, capable of identifying vocals, instrumentals, bass, drums, and additional elements. Moreover, the platform continuously seeks to enhance its capabilities and expand its offerings to better serve its user community.
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