Software Alternatives, Accelerators & Startups

Spleeter VS MakeBPM

Compare Spleeter VS MakeBPM and see what are their differences

Spleeter logo Spleeter

Isolate vocals from any song using AI by Deezer

MakeBPM logo MakeBPM

AI music studio for creators to generate songs, beats, background music, and soundtracks from prompts, lyrics, or creative ideas.
  • Spleeter Landing page
    Landing page //
    2023-10-21
  • MakeBPM
    Image date //
    2026-07-31

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

Website
github.com
Pricing URL
-
$ Details
-
Release Date
-
Startup details
Country
France

MakeBPM

$ Details
freemium $9.99 / One-off (Starter Pack)
Release Date
2026 August
Startup details
Country
China
Founder(s)
Ethan Zhang
Employees
1 - 9

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.

MakeBPM features and specs

No features have been listed yet.

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

MakeBPM videos

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

Add video

Category Popularity

0-100% (relative to Spleeter and MakeBPM)
Music
100 100%
0% 0
AI
93 93%
7% 7
Audio & Music
100 100%
0% 0
Productivity
0 0%
100% 100

Questions & Answers

As answered by people managing Spleeter and MakeBPM.

What makes your product unique?

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.

Why should a person choose your product over its competitors?

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.

How would you describe the primary audience of your product?

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.

What's the story behind your product?

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 productโ€™s 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.

Which are the primary technologies used for building your product?

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.

Who are some of the biggest customers of your product?

MakeBPM's answer:

MakeBPM is currently focused on independent creators, music makers, and small creative teams rather than publicly listed enterprise customers.

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 / 7 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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MakeBPM mentions (0)

We have not tracked any mentions of MakeBPM yet. Tracking of MakeBPM recommendations started around Jul 2026.

What are some alternatives?

When comparing Spleeter and MakeBPM, 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.

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.