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This audio app lets you split songs into separate parts like vocals, drums, bass, and other instruments using AI technology. It's really user-friendly - you can either use the desktop version with a clean interface or access it through a web API. Just drag and drop your music files, and it'll work its magic to separate everything out. The app is pretty smart too - it'll use your graphics card to speed things up if you have one, but works fine on regular computers as well. You can download each part individually or grab everything at once in a zip file. It's perfect for musicians who want to remix tracks, producers working on new beats, or anyone curious about picking apart their favorite songs to hear what's going on under the hood.
Budget
$0
Duration
2 Days
I'm pretty proud that I got both interfaces working seamlessly - you can literally drag and drop a song and watch it get separated in real-time. The task queue system turned out really solid too, so multiple people can use it at once without everything grinding to a halt. The AI separation quality honestly surprised me - hearing individual drum tracks or isolated vocals from your favorite songs never gets old.
The app splits songs into vocals, drums, bass, and everything else with pretty impressive accuracy. It handles all the common audio formats people actually use, shows you exactly what's happening as it processes, and works whether you're on Windows, Mac, or Linux. Plus it's smart about cleaning up after itself so you don't end up with gigabytes of temporary files cluttering your system.
Getting multiple AI models to work together without crashing your computer was no joke - especially when dealing with huge audio files that want to eat up all your RAM. Making sure everything worked smoothly whether someone was using the web version or desktop app took a lot of trial and error. The trickiest part was probably getting real-time updates to show users how their audio processing was going, especially when juggling multiple people's requests at once.
This project really opened my eyes to how complex audio processing can get when you throw AI into the mix. I had to get creative with managing memory so the app wouldn't freeze up on large files, and figuring out how to build something that feels native on both web and desktop was a real learning curve. The biggest lesson was probably how important good error handling is - audio files can be unpredictable, and users definitely don't want the app to just crash on them.
I'm excited about adding batch processing so you could throw a whole album at it and come back later. Custom model training would be amazing - imagine training it on specific genres or instruments. Cloud storage integration is definitely on the wishlist, and I think adding some collaborative features could make it really useful for bands or production teams working together.
I checked my laptop to see if everything was working fine and if my computer can handle the load.
I made sure all files and codes are easy to read and well organized.
I completed the whole code, and started documenting my work so if you or someone else would like to use the application, they would. I added step by step instructions on how to run the application on your local machine.