
Spleeter
LALAL.AI
Moises
VocalRemover.org
Splitter.ai
PhonicMind
Acapella Extractor
Vocal Extractor
MakeBPM
Suno
Udio
Moises
ACE Studio
ai-music-generator.ai
AI-Song.ai
AISong.Fun
MakeBPM helps creators turn ideas into usable music faster. Users can generate songs, beats, background music, and soundtracks from text prompts, lyrics, moods, genres, or project scenes. Beyond generation, MakeBPM supports a broader music workflow, including lyrics-to-song creation, BPM detection, vocal removal, beat control, remixing, extending, editing, and exporting music for videos, podcasts, games, ads, and social content.
Spleeter
MakeBPMNo features have been listed yet.
Musicians, audio engineers, producers, and sound designers who require efficient audio separation for remixes, practice, or analysis purposes.
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MakeBPM's answer:
MakeBPM is built as an AI music studio, not just a one-time song generator or a simple BPM tool. It helps creators move from an idea to usable music in one workflow: generate songs, turn lyrics into music, detect BPM, separate vocals, remix, extend, edit, and export.
Its biggest advantage is the combination of AI music creation with practical production controls like BPM detection, beat alignment, vocal removal, and creator-friendly export options. This makes it useful not only for making songs, but also for creating music that fits videos, podcasts, games, ads, and social content.
MakeBPM's answer:
People should choose MakeBPM because it focuses on the full creator workflow, not just generating a track and stopping there. Users can start with a prompt, lyrics, mood, genre, or project idea, then continue shaping the result with tools for BPM detection, vocal separation, remixing, extending, and exporting.
MakeBPM is especially useful for creators who need music that fits a real project, such as a YouTube video, TikTok clip, podcast, game, ad, or brand campaign. It is simple enough for beginners, but includes music-focused controls that make the output easier to reuse and refine.
MakeBPM's answer:
MakeBPM is made for creators who need original music quickly, even if they do not have a traditional music production background.
The primary audience includes YouTubers, TikTok and Reels creators, podcasters, indie artists, beat makers, game creators, advertisers, brand teams, course creators, livestreamers, and small creative studios. It is especially useful for people who regularly need songs, beats, background music, soundtracks, vocals, instrumentals, or tempo-matched audio for content projects.
MakeBPM's answer:
MakeBPM started from a simple idea: creators need more than a tool that only detects BPM or generates one song. They need a faster way to turn ideas into music they can actually use.
The name MakeBPM reflects the productโs music-first identity: Make BPM. Make Beats. Make Music. The goal is to give creators an AI music workspace where they can start with a prompt, lyrics, mood, or scene, then generate, adjust, separate, remix, extend, and export music for real creative work.
MakeBPM's answer:
MakeBPM is built with modern web and AI infrastructure, including Next.js, React, TypeScript, Tailwind CSS, next-intl, Drizzle ORM, Better Auth, and AI model integrations for music and audio processing.
The product uses a modular AI service layer so music generation, vocal separation, BPM analysis, and other audio workflows can connect to different providers without locking the product to a single model.
MakeBPM's answer:
MakeBPM is currently focused on independent creators, music makers, and small creative teams rather than publicly listed enterprise customers.
Based on our record, Spleeter seems to be more popular. It has been mentiond 135 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The category of tools leveraging AI for stem separation works best when you treat them like a utility, not a creative oracle. They are sophisticated pattern recognition systems, not mind-readers. I learned this the hard way. On one test, I tried splitting a heavily distorted guitar track layered with synths. The result sounded watery and thin. That wasnโt the tool failingโit was me expecting too much from a... - Source: dev.to / 7 months ago
Either creating stems from karaoke multitracks (e.g. [0]) or using Spleeter [1] 5-stem mode, probably [0] https://www.karaoke-version.com/ [1] https://github.com/deezer/spleeter. - Source: Hacker News / over 1 year ago
Absolutely wonderful! > "We obtain these times from MIDI files, though in the future Iโd like to explore more automated ways of extracting them from audio." Same here. In case it helps: I suspect a suitable option is (python libs) Spleeter (https://github.com/deezer/spleeter) for beat times. I haven't ventured into this yet though so I may be off. My ultimate goal is to be able to do it 'on the fly', i.e. In a... - Source: Hacker News / almost 2 years ago
Virtual dj and others stem separator is shrinked model of this https://github.com/deezer/spleeter you will get better results downloading original + their large model. Source: over 2 years ago
I have used multiple tools at this point. It depends on the scene. I use https://ultimatevocalremover.com/, https://github.com/deezer/spleeter/, iZotope RX. There are also multiple options online, I would personally recommend https://vocalremover.org/. Source: over 2 years ago
LALAL.AI - The #1 vocal remover, now a full audio toolkit โ separate stems, clean up voice recordings, change and clone voices, all in one place.
Suno - We are building a future where anyone can make great music. No instrument needed, just imagination. From your mind to music.
Moises - Separate audio tracks using state-of-the-art AI algorithm
Udio - Discover, create, and share music with the world. Use the latest technology to create AI music in seconds.
VocalRemover.org - Vocal Remover and Isolation. Separate voice from music out of a song free with powerful AI algorithms
Splitter.ai - Isolating instruments from music is now possible using AI, and Splitter is based on Deezer's open source research project Spleeter to accomplish this.