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Audio & Voice AI

Fast Music Remover

Fast Music Remover is a C++ media-processing application that uses DeepFilterNet for background-music filtering and noise removal from YouTube and other internet media. Its Flask backend and web interface accept media URLs or uploaded audio and video files, and provide playback of processed media.

Independent OpenViST project profile, based on linked sources.

Fast Music Remover — OpenViST project profile in Audio & Voice AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want to process a media URL or a local audio or video file through a browser interface and listen to the resulting media.

Who it is for

  • People who want background music filtered or noise reduced while listening to online or local media.
  • Developers who want to build or run a self-managed audio and media-processing application.

Documented uses

  • Submit a media URL for background-music filtering or noise removal.
  • Upload audio or video from a local machine for processing.
  • Set up the application through its Docker image or documented manual build.
Before you choose

Requirements & limits

The project is open source under the MIT license. The README documents a prebuilt Docker image and manual setup; no account requirement or pricing information is provided.

  • The documented Docker workflow provides browser-based submission of URLs and local audio or video files.
  • Manual setup requires Python 3.9+, FFmpeg, CMake, nlohmann-json and libsndfile.
  • Linux is listed in the technical platform information; the README presents Linux, macOS and Windows support as a release goal.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Process a URL or uploaded media with Docker

Start the documented Docker-based web interface and submit a media URL or local file for processing.

Before you start

  • Docker installed
  • A browser

Steps

  1. Pull the prebuilt image with the command below, or use docker-compose up --build from the project setup.

    Documented command
    docker pull ghcr.io/omeryusufyagci/fast-music-remover:latest
  2. Run the prebuilt image with the command below.

    Documented command
    docker run -p 8080:8080 ghcr.io/omeryusufyagci/fast-music-remover:latest
  3. Open http://localhost:8080 in a browser and submit a media URL or upload a local file.

Expected outcome

The frontend processes the submitted media and provides playback of the result.

Guide limitations

  • The Docker Compose route requires the project setup; the README notes that elevated permissions may be needed depending on the system.
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
7 November 2026
Original website title
omeryusufyagci/fast-music-remover · Official homepage title · retained in its source language