Fast Music Remover

Fast Music Remover is a lightweight media processing service that removes background music and reduces noise from audio or video content. It provides a simple web interface backed by a C++ processing core and a Python web server for easy local or containerized use.

Key Features

• Background music filtering and general noise reduction for improved speech clarity
• Accepts both uploaded files and remote media via URL (e.g., online video sources)
• Web UI for submitting jobs and previewing the processed output
• C++ “MediaProcessor” core for efficient processing, orchestrated by a Python backend
• Uses FFmpeg for media probing, extraction, and handling common audio/video formats
• Docker and Docker Compose deployment option for quick setup

Use Cases

• Cleaning dialogue in recorded talks, lectures, or interviews by reducing music and noise
• Processing online videos to make speech more intelligible for listening or transcription
• Preparing cleaner audio tracks for editing workflows or downstream ML speech tasks

Limitations and Considerations

• Output quality depends on source material and the characteristics of background music/noise
• Real-time processing is indicated as a planned/experimental capability rather than a stable feature

Fast Music Remover is a practical choice for users who want a straightforward, browser-based way to enhance spoken audio by removing background music and reducing noise. Its container-friendly deployment and modular processing approach make it suitable for both casual use and iterative experimentation.