Splitter.ai

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Splitter.ai is an AI-powered music separator that can separate any song into its individual stems, such as vocals, bass, drums, and other instruments. It uses a deep learning algorithm to identify the different instruments in a song and then separates them into individual tracks.

Splitter.ai is available as a web app and a desktop app. The web app is free to use, but the desktop app requires a subscription.

To use Splitter.ai, you simply upload a song to the app and select the desired stems. The app will then separate the song into the selected stems and you can download the results.

Splitter.ai is a powerful tool for music producers, DJ's, and anyone who wants to create remixes or covers of songs. It is also a useful tool for scientists and researchers who study music.

Here are some of the features of Splitter.ai:

  • AI-powered music separation: Splitter.ai uses a deep learning algorithm to identify the different instruments in a song and then separates them into individual tracks.
  • Free web app: The web app is free to use, but the desktop app requires a subscription.
  • Desktop app: The desktop app is more powerful than the web app and allows you to separate more tracks.
  • Supports a variety of file formats: Splitter.ai supports a variety of file formats, including MP3, WAV, and FLAC.
  • Easy to use: Splitter.ai is easy to use and does not require any prior knowledge of music production.

If you are looking for an AI-powered music separator, Splitter.ai is a great option. It is powerful, easy to use, and affordable.

Here are some of the pros and cons of Splitter.ai:

Pros:

  • AI-powered music separation
  • Free web app
  • Desktop app
  • Supports a variety of file formats
  • Easy to use

Cons:

  • Desktop app requires a subscription
  • Not perfect, sometimes the separation is not accurate

Overall, Splitter.ai is a great option for anyone who wants to separate music into its individual stems. It is powerful, easy to use, and affordable. However, it is not perfect and sometimes the separation is not accurate.

 

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