Software Alternatives, Accelerators & Startups

lightnote VS Spleeter

Compare lightnote VS Spleeter and see what are their differences

lightnote logo lightnote

An interactive site to learn the basics of music theory 🎶

Spleeter logo Spleeter

Isolate vocals from any song using AI by Deezer
  • lightnote Landing page
    Landing page //
    2021-10-24
  • Spleeter Landing page
    Landing page //
    2023-10-21

lightnote videos

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Spleeter videos

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

More videos:

  • Review - How-to Spleeter — 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

Category Popularity

0-100% (relative to lightnote and Spleeter)
Music
17 17%
83% 83
Audio & Music
14 14%
86% 86
Piano
100 100%
0% 0
AI
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Spleeter seems to be a lot more popular than lightnote. While we know about 132 links to Spleeter, we've tracked only 2 mentions of lightnote. 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.

lightnote mentions (2)

  • Music Theory for the 21st-Century Classroom
    [shameless plug] I built http://lightnote.co for exactly this. Starting from basic sound waves, it teaches music theory while skipping all of the technical notation. It definitely doesn't go as deep as this post, but I don't think that's essential to getting started. - Source: Hacker News / almost 3 years ago
  • So I play all my chords and melody by ear and know nothing about most keys and chord progressions. Anyone else work like this?
    My favorite course is https://lightnote.co due to how the information is structured (it's not free though). Source: about 3 years ago

Spleeter mentions (132)

  • 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: 6 months 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: 7 months ago
  • Show HN: Free AI-based music demixing in the browser
    I tried to use it but I had some issues as others in the thread. I have tried many sources and method over the years and settled on spleeter [0]. Works well even for 10+ minute songs, varying styles from flamenco to heavy metal. [0] https://github.com/deezer/spleeter. - Source: Hacker News / 11 months ago
  • AI tools list sorted by category in one place
    Spleeter is pretty good https://github.com/deezer/spleeter. Apparently it is used in some dj applications. Source: 11 months ago
  • Ask HN: Is there an ML model that can go from an audio song to sheet music?
    I was going to post basic pitch from Spotify but it looks like billconan beat me to it. That said I can give you a bit more advice. The Spotify basic pitch model isn't too good at multi-track input. It's capable of it, but you may actually get better results if you separate out the tracks first and then run them individually through the basic pitch model. In order to do this you can use a source/stem separation... - Source: Hacker News / about 1 year ago
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What are some alternatives?

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

Touch Pianist - Play piano like a pro without playing piano.

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

Playground Sessions - Online piano learning game.

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

Pianu - Learn to play the piano in your browser.

LALAL.AI - Use AI to split any song into vocal and instrumental tracks