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StemPlayer VS Spleeter

Compare StemPlayer VS Spleeter and see what are their differences

StemPlayer

A free online stem player: separate any song into vocals, drums, bass, guitar and piano, mute your part, slow it down without changing the pitch, loop a section, export the mix. No sign-up.

Rating
0 reviews
Pricing
Free
Alternatives Is it good?
Spleeter

Isolate vocals from any song using AI by Deezer

Rating
0 reviews
Alternatives Is it good?
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Which is more popular?

Based on our record, Spleeter seems to be more popular. It has been mentioned 135 times since March 2021.

social mentions
0 vs 135
Vocal Remover popularity
100% vs 0%
alternatives listed
12 vs 131

Base details

Website, pricing, platforms and company facts side by side.

StemPlayer
Spleeter
Website stemplayer.app github.com
Pricing
Free Official pricing
—
Company 1 - 9 employees · 2026 Startup from France
Listed in
Audio & Music Audio Editor Audio Player Vocal Remover Karaoke AI +3
Music Audio & Music AI Audio Player +1

About StemPlayer and Spleeter

In their own words, as submitted to SaaSHub.

StemPlayer
Spleeter

StemPlayer separates any song into six stems (vocals, drums, bass, guitar, piano and other) and opens them in a mixer in your browser. Mute the part you play and practise with the rest of the band, solo a part to learn it by ear, slow the song down to half speed without changing the pitch, and...

Read more about StemPlayer

No description of Spleeter yet.

Features and specs

What each product offers, as listed by its team.

StemPlayer 9 features
Spleeter 5 features
  • Stem Separation
    Six-stem separation: vocals, drums, bass, guitar, piano, other
  • Audio Mixing
    Practice mixer in the browser with mute, solo and faders
  • Slow Down
    Slow down to half speed without changing the pitch
  • Looping Feature
    Loop any section
  • Equalizer Feature
    EQ and pan per stem
  • Export Formats
    Export the mix as 24-bit WAV
  • Mobile Support
    Works on phone and desktop, nothing to install
  • No Sign-Up Required
    No sign-up, free while in beta
  • Local Library
    Library kept in your browser
  • 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 tool’s potential.

Possible disadvantages

  • 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.

Analysis

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

StemPlayer
Spleeter

No analysis of StemPlayer yet.

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.

Videos

Walkthroughs and reviews on video.

StemPlayer 1 video + Add
Spleeter 6 videos + Add

Stemplayer video demo

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

More videos

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

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
StemPlayer
Spleeter
100% 100%
Vocal Remover
0% 0%
0% 0%
Music
100% 100%
6% 6%
AI
94% 94%
3% 3%
Audio & Music
97% 97%

Questions & Answers

As answered by people managing StemPlayer and Spleeter.

What makes your product unique?

StemPlayer's answer

Six stems with dedicated guitar and piano channels, opened straight in a practice mixer in the browser. You do not get a zip of files to take somewhere else: you mute your part, slow the song down without changing the pitch, loop a section and play along, all in one place, with nothing to install.

Why should a person choose your product over its competitors?

StemPlayer's answer

Moises and LALAL.AI are subscriptions and cap free use hard; Ultimate Vocal Remover is free but needs installing and a good graphics card. StemPlayer runs in any browser, on a laptop or a phone, is free while in beta, and is built for playing along rather than producing.

How would you describe the primary audience of your product?

StemPlayer's answer

Musicians who learn and practise songs by ear: guitarists, bass players and drummers who want to play their part with the real band, singers who need an instrumental, and teachers preparing play-along tracks for students.

What's the story behind your product?

StemPlayer's answer

I am a gigging guitarist, and learning a part from a record always meant fighting the original guitar in the mix. Stem separation fixed that, but every tool either charged monthly, stopped at four stems, or dumped files I had to load into a DAW. I wanted to drop in a song, pull my part out and play. So I built StemPlayer for my own practice and opened it up for other musicians.

Which are the primary technologies used for building your product?

StemPlayer's answer

  • React and Vite for the browser app, hosted on Cloudflare Pages
  • Web Audio API for the mixer, with time-stretching so a slowed-down song keeps its pitch
  • Python and FastAPI for the backend
  • Demucs, a neural network for music source separation, running on a cloud GPU
  • Browser storage (IndexedDB) for the song library, so songs stay on your device

Who are some of the biggest customers of your product?

StemPlayer's answer

  • StemPlayer is a free beta used by individual musicians: guitarists, bass players, drummers, singers and music teachers. It has no business customers.

User comments

Share your experience with using StemPlayer and Spleeter. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

StemPlayer 0 mentions
Spleeter 135 mentions

Tracking StemPlayer since Oct 2026.

  • 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... - Source: dev.to / 9 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 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

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Alternatives to StemPlayer and Spleeter

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