智能音频分离工具

智能音频分离工具，一键将任意音频或视频分离出人声、伴奏、鼓、贝斯、钢琴等独立音轨。适用于音乐人翻唱伴奏提取、歌曲 Remix 制作、播客人声降噪、视频配乐替换、音乐教学素材准备等场景。当用户需要「分离人声和伴奏」「提取伴奏」「去除人声」「拆分音轨」「vocal split」「stem splitter」等操作时触...

This is a local web tool that matches its description, but review and take these precautions before running: - Inspect server.py and the shipped HTML yourself (they are included) and move/copy the provided HTML into a static/ directory (server.py expects static/index.html, static/editor.html, static/landing.html) or adjust the code. - Run the service locally (do not expose it to the public Internet). The server enables CORS for all origins and will serve files from the working directory, so keep it behind a firewall or bind to localhost only. - Expect demucs to download a ~300–500MB model on first run (network and disk usage). Consider running in an isolated environment or VM if you are cautious about large downloads. - The server stores uploaded files and outputs in uploads/, outputs/, trims/ and a history.json in the working directory; delete these if they contain sensitive data. - If you plan to expose the service or use it in multi-user contexts, add authentication, tighten CORS, and validate/normalize path inputs (there is potential for serving unexpected files if endpoints are exposed).