StemRoller favicon StemRoller vs AudioStrip favicon AudioStrip

StemRoller

StemRoller offers a user-friendly method to isolate audio components within any song. Users can initiate the process by simply entering a song title into the search interface. The application then locates the specified song online and utilizes artificial intelligence to divide it into distinct stems: vocals, drums, bass, and the residual musical elements.

Complementing the individual stem separation, StemRoller automatically generates a comprehensive instrumental track by merging all the non-vocal stems. This tool is built upon Facebook's advanced Demucs AI research project, making sophisticated audio source separation accessible as a completely free and open-source desktop application. It facilitates the creation of karaoke versions or the extraction of specific instrument tracks for various audio projects.

AudioStrip

AudioStrip utilizes advanced Artificial Intelligence to provide high-quality audio stem separation. This tool enables users to easily isolate vocals and various instruments, including drums, bass, piano, and guitar, from any uploaded audio track. It's designed for a range of applications, from creating backing tracks for karaoke or performance practice to producing remixes and sampling specific elements for music production.

The process is user-friendly: simply upload your audio file (supporting formats like MP3, WAV, FLAC, OGG, M4A, WMA), and the AI engine processes it to separate the different components. Once processed, users can download the individual stems. While a free tier offers basic functionality, premium options are available for enhanced quality, larger file support, and additional features like batch processing.

StemRoller

Pricing

Free

AudioStrip

Pricing

Freemium
From 6$

StemRoller

Features

  • Song Search: Locates songs online using just the title.
  • AI Stem Separation: Utilizes Demucs AI to split songs into vocals, drums, bass, and other stems.
  • Instrumental Track Generation: Automatically creates an instrumental version by combining non-vocal stems.
  • Multiple Stem Models: Offers choices including 6-stem separation and faster processing options.
  • Free and Open-Source: Available at no cost and based on open-source technology.

AudioStrip

Features

  • AI Stem Separation: Isolates vocals, drums, bass, piano, guitar, and other instruments using artificial intelligence.
  • Multiple Format Support: Accepts MP3, WAV, FLAC, OGG, M4A, and WMA audio files.
  • Downloadable Stems: Provides individual audio tracks for each separated instrument and vocals.
  • Freemium Model: Offers both free access with limitations and premium plans for advanced features.
  • High-Quality Output Options: Premium users can download separated stems in WAV format with higher quality.

StemRoller

Use cases

  • Creating custom karaoke tracks.
  • Isolating vocals for acapella versions or remixes.
  • Extracting specific instrument parts (drums, bass) for musical practice or sampling.
  • Producing instrumental versions of songs for background music or performance.
  • Assisting DJs in obtaining track elements for mixing.
  • Supporting music producers and remix artists with source separation.

AudioStrip

Use cases

  • Creating karaoke or backing tracks by removing vocals from songs.
  • Remixing music by isolating and manipulating specific instrument stems.
  • Assisting musicians in learning songs by isolating or removing instrument parts for practice.
  • Enabling music producers to sample specific sounds or analyze song arrangements.
  • Isolating dialogue or specific sounds from audio recordings.
EliteAi.tools logo

Elite AI Tools

EliteAi.tools is the premier AI tools directory, exclusively featuring high-quality, useful, and thoroughly tested tools. Discover the perfect AI tool for your task using our AI-powered search engine.

Subscribe to our newsletter

Subscribe to our weekly newsletter and stay updated with the latest high-quality AI tools delivered straight to your inbox.

© 2025 EliteAi.tools. All Rights Reserved.