Level Rebel scores audio against the platform you publish to.

Your audio gets processed the moment it lands on a platform. Instagram normalizes it, TikTok clips it, YouTube applies its own loudness ceiling — and none of them tell you what happened. You just hear it come back sounding worse than it did on your monitors, and you wonder if your mix was wrong.

It wasn't wrong. The platform changed it.

I built Level Rebel to fix that problem, starting with my own work. I've been writing custom Python tools for audio production and music workflows since 2015 — tools that I kept to myself because they were built for a specific pipeline, mine. Level Rebel is the first one I've shipped for other people to use.

The assessment engine listens to your file the way the platform will. It runs the audio against that platform's loudness targets and headroom specs, scores it zero to one hundred, and tells you exactly where it's falling short. Not a vague warning. A number, and a reason.

The export gives you a master that's already conformed. One file, ready to post.

My name is Brian Arbuckle. I'm a mixer who has been working in professional audio production for over a decade. I built the tool I wished existed when I was uploading my own work. The scoring is the same engine I use before I deliver anything to a client.