Sergree releases Matchering 2.0 - Open Source Audio Matching and Mastering

Sergree has released Matchering 2.0, an Open Source Containerized Web Application and Python Library for audio matching and mastering.

Everyone can install and use this app for free on their computer using Docker. All major platforms are supported: mac OS, Windows and Linux.

It follows a simple idea - you take two audio files and feed them into Matchering:

• Target (the track you want to master, you want it to sound like the reference).
• Reference (another track, like some kind of "wet" popular song, you want your target to sound like it).

It's algorithm matches both of these tracks and provides you the mastered Target track with the same RMS, FR, peak amplitude and stereo width as the Reference track has.

YouTube.com/watch?v=8Su5STDYfcA

Installation instructions: github.com/sergree/matchering/blob/master/DOCKER.md

More information is available here: github.com/sergree/matchering