
LALAL.AI
Moises
VocalRemover.org
PhonicMind
Splitter.ai
Acapella Extractor
AudioStrip
Isolate vocals from any song using AI by Deezer

LALAL.AI
Moises
AI Stem Separation
PhonicMind
Ultimate Vocal Remover GUI
Splitter.ai
Fadr
AI stem splitter for custom backing tracks. Remove vocals, drums, or bass from any song. Free 5-minute trial, one-time Minute Packs (no subscription), or an Unlimited Plan.

Which is more popular?
Based on our record, Spleeter seems to be more popular. It has been mentioned 135 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | github.com | stemsplitterai.com |
| Pricing | — | |
| Platforms | — | |
| Company | Startup from France | 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Spleeter yet.
StemSplitterAI is an online AI stem splitter for musicians, singers, teachers, and bands who need custom backing tracks from uploaded audio. It separates songs into vocals, drums, bass, and other instruments, then lets users solo, mute, and adjust each stem in the browser before downloading....
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Musicians, audio engineers, producers, and sound designers who require efficient audio separation for remixes, practice, or analysis purposes.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
SPLEETER VS IZOTOPE RX7 (Which is the best DIY acapella tool?)
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Spleeter and StemSplitterAI.
StemSplitterAI's answer:
StemSplitterAI is built with Next.js, React, TypeScript, Tailwind CSS, better-auth, Drizzle ORM, Stripe, Cloudflare R2 storage, and cloud-based AI stem separation providers. The product runs in the browser for upload, preview, stem controls, checkout, and download workflows.
StemSplitterAI's answer:
StemSplitterAI does not publish named customer logos yet. The product is currently aimed at independent musicians, singers, teachers, bands, and creators who need custom backing tracks from uploaded audio.
StemSplitterAI's answer:
StemSplitterAI is focused on creating practical backing tracks, not just exporting raw stems. Users can choose outcome-based presets such as vocal remover, drum remover, bass backing, karaoke, or full stems, preview 30 seconds for free, then process the full song only if the result is useful. It also uses one-time credits instead of a recurring subscription.
StemSplitterAI's answer:
A person should choose StemSplitterAI if they want a simple pay-per-use workflow for music practice, rehearsal, teaching, or karaoke. It offers a free 30-second preview, browser-based stem controls, downloadable stems, custom backing track export, and credit packs that do not expire. There is no monthly plan to keep active when the product is not being used.
StemSplitterAI's answer:
The primary audience is musicians and music learners who need custom backing tracks from uploaded audio. This includes singers making vocal-free tracks, drummers practicing with drumless versions, bass players creating bass backing tracks, teachers preparing lesson material, and bands rehearsing cover songs.
StemSplitterAI's answer:
StemSplitterAI was built to make custom backing tracks easier to create. Many musicians need a version of a song without one specific part, but pre-made backing tracks are often unavailable, low quality, or locked behind subscriptions. The product turns that workflow into a browser-based process: upload audio, preview the separation, adjust stems, and export the mix needed for practice or performance.
Share your experience with using Spleeter and StemSplitterAI. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


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... - Source: dev.to / 9 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 I’d 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)... - Source: Hacker News / about 2 years ago
Tracking StemSplitterAI since Jun 2026.
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Make karaoke out of any song with AI powered vocal remover
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Isolating instruments from music is now possible using AI, and Splitter is based on Deezer's open source research project Spleeter to accomplish this.
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