Software Alternatives, Accelerators & Startups

Spleeter VS StemGrab

Compare Spleeter VS StemGrab and see what are their differences

Spleeter logo Spleeter

Isolate vocals from any song using AI by Deezer

StemGrab logo StemGrab

Free AI stem splitter: separate any song into vocals, drums, bass, guitar and piano in your browser. No sign-up, no watermark.
  • Spleeter Landing page
    Landing page //
    2023-10-21
  • StemGrab Landing page
    Landing page //
    2026-08-04

StemGrab splits a song into seven separate stems โ€” vocals, drums, bass, guitar, piano, other, plus a mixed instrumental โ€” straight in the browser. No account, no watermark, no daily limit, and the free version is not a trial.

How it works. Two purpose-built models run on a dedicated GPU: one tuned for the vocal remover and karaoke mode, and one for the full seven-stem split. Output is 192 kbps MP3 plus a zip. It accepts MP3, WAV, FLAC, M4A, AAC and OGG up to 20 minutes or 2 GB. Uploads are deleted immediately after processing.

Key and tempo detection. Every upload also gets its musical key with scale, the matching Camelot code for harmonic DJ mixing, and the BPM, shown above the stems. This is read from the audio, so it is an estimate: reliable on steady-tempo studio recordings, sometimes ambiguous between a key and its relative major or minor.

What people use it for. Removing vocals from a song, pulling an acapella for a mashup or sample, making a karaoke or backing track, getting a drumless or bassless version to play along to, isolating one instrument to learn a part by ear, and getting stems for a remix or DJ edit.

Honest about the limits. Vocals, drums and bass separate cleanly on most modern mixes; guitar and piano are experimental stems and can be rougher.

Pricing. The tool is free. There is one optional purchase: a โ‚ฌ5 month pass, valid 30 days from your first track rather than from payment. It adds longer tracks, several uploads at once, uncompressed WAV, play-along mixes, slow-down and transpose practice tools, results kept for 24 hours instead of 45 minutes, priority in the queue and no ads. It is a one-off purchase, not a subscription, and it does not change the separation quality โ€” free and paid run the same model on the same hardware. One pass also works on the other Shinobi Tools sites.

Spleeter

Website
github.com
Release Date
-
Startup details
Country
France

StemGrab

Release Date
2026 July
Startup details
Country
Netherlands

Spleeter features and specs

  • High Performance
    Spleeter utilizes deep learning technologies to achieve high-quality separation of vocals and other musical elements, making it a powerful tool for audio processing tasks.
  • Open Source
    Being an open-source project, Spleeter is freely accessible and can be modified and improved by the community, fostering innovation and collaboration.
  • Ease of Use
    With pre-trained models and straightforward API, Spleeter is user-friendly, allowing users to quickly start separating audio without needing extensive background in machine learning.
  • Speed
    Spleeter is optimized for fast processing, enabling quick separation of tracks even on standard hardware, which is beneficial for users needing rapid results.
  • Community and Documentation
    The project has an active community and comprehensive documentation, offering support and resources to help users resolve issues and maximise the toolโ€™s potential.

Possible disadvantages of Spleeter

  • Resource Intensive
    Deep learning models require significant computational power, which means Spleeter can be demanding on system resources, especially for higher quality separations.
  • Quality Limitations
    Although it performs well, Spleeter might not always achieve perfect separation, and certain complex mixes may still present challenges, resulting in artifacts or quality loss.
  • File Size
    The pre-trained models and resulting files can be large, potentially requiring substantial storage space, which could be an issue for users with limited disk space.
  • Dependency Management
    Setting up Spleeter and ensuring all dependencies are correctly installed can be cumbersome, particularly for less technically-oriented users unfamiliar with Python environments.
  • Use Case Limitations
    Spleeter is specifically designed for source separation, meaning its utility is somewhat limited to this function and may not be suitable for users looking for a broader range of audio processing features.

StemGrab features and specs

  • Easy Stem Extraction
    StemGrab allows users to quickly separate audio tracks into individual stems such as vocals, drums, bass, and instruments, simplifying the remixing and production process.
  • User-Friendly Interface
    The platform is designed with simplicity in mind, making it accessible even for users who are not highly technical or experienced in audio engineering.
  • Time-Saving Tool
    By automating the stem separation process, StemGrab saves users significant time compared to manually isolating audio elements using traditional DAWs.
  • Useful for Musicians and Producers
    The tool is beneficial for DJs, remixers, and music producers who need isolated tracks for sampling, mashups, or practice purposes.
  • Web-Based Accessibility
    Being an online tool, StemGrab can be accessed from any device with an internet connection without the need to install additional software.

Analysis of Spleeter

Overall verdict

  • Spleeter is generally considered a good tool for those needing to separate audio tracks into stems. Its ease of use, effectiveness, and free availability make it popular among musicians, producers, and audio engineers.

Why this product is good

  • Spleeter is an open-source music separation tool developed by Deezer that allows users to separate audio tracks into individual components like vocals and instruments. It is praised for its high separation quality and speed, leveraging deep learning techniques. The tool is user-friendly and can be easily accessed via a command-line interface or integrated into various audio processing workflows.

Recommended for

    Musicians, audio engineers, producers, and sound designers who require efficient audio separation for remixes, practice, or analysis purposes.

Spleeter videos

SPLEETER VS IZOTOPE RX7 (Which is the best DIY acapella tool?)

More videos:

  • Review - How-to Spleeter โ€” Split audio with Deezer's AI tool in 2019
  • Tutorial - How to Get the Stems of ANY Song || Installing & Using Spleeter
  • Demo - Sober
  • Demo - Wadani
  • Demo - pl

StemGrab videos

No StemGrab videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Spleeter and StemGrab)
Music
97 97%
3% 3
Audio & Music
97 97%
3% 3
AI
100 100%
0% 0
Audio Player
100 100%
0% 0

User comments

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Social recommendations and mentions

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.

Spleeter mentions (135)

  • When One Track Becomes Four: How AI Stem Splitting Gave Me Back My Creative Time
    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 wasnโ€™t the tool failingโ€”it was me expecting too much from a... - Source: dev.to / 8 months ago
  • Guitar chord karaoke with Vamp, Chordino, and FFmpeg
    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
  • Synchronizing pong to music with constrained optimization
    Absolutely wonderful! > "We obtain these times from MIDI files, though in the future Iโ€™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) 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
  • Are stems a good way of making mashups
    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
  • Big News!
    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
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StemGrab mentions (0)

We have not tracked any mentions of StemGrab yet. Tracking of StemGrab recommendations started around Aug 2026.

What are some alternatives?

When comparing Spleeter and StemGrab, you can also consider the following products

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.

Moises - Separate audio tracks using state-of-the-art AI algorithm

VocalRemover.org - Vocal Remover and Isolation. Separate voice from music out of a song free with powerful AI algorithms

Acapella Extractor - Isolate vocals from any song for free

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.

PhonicMind - Make karaoke out of any song with AI powered vocal remover