spleeter-web VS django-livereloadish

or https://github.com/JeffreyCA/spleeter-web

There's a webservice to separate a song using Demucs here:

https://demucs.danielfrg.com/

And a great Dockerized webapp that lets you choose from several models and parameters here:

https://github.com/JeffreyCA/spleeter-web

Otherwise you can just install them locally and run them through the CLI, it's pretty easy (one command)

https://github.com/facebookresearch/demucs#for-musicians

https://github.com/deezer/spleeter#quick-start

  2. Now you can take the isolated vocals, and build the rest of the song yourself

For the more tech-savvy folks and programmers alike: I've been working self-hostable web app that does this and supports Spleeter and many other models (fully open source): https://github.com/JeffreyCA/spleeter-web

Spleeter Web, a self-hostable web app for music source separation. It lets you isolate the vocal, accompaniment, bass, and/or drums of any piece of music using deep learning-based source separation models. It's like moises.ai/ezstems.com but open-source.

I learned lots about building a full-stack web app ground-up as well as how to containerize the whole thing with Docker.

GitHub: https://github.com/JeffreyCA/spleeter-web

Over the summer I started writing a package which does do those extra things, django-livereloadish; it's a bit rough around the edges in a couple of places, but I've used it mostly successfully for a few months on a couple of projects now. You're welcome to check it out and see if it improves your workflow at all.