Matching + Mastering = ❤️

[Matchering 2.0] is a novel Containerized Web Application, [Python Library][PyPI], and ComfyUI Node for audio matching and [mastering].

🔥 Also integrated in the UVR5 Desktop App!

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)

Our 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.

🔥 [Benn Jordan Matchering review][BennVideo]:

- Matchering 2.0 beating all other AI's! (note: by carefully selecting a proper song as reference)

- Ranking it no.3 (out of 12) right behind 2 professional master engineers

- Seems a rock-solid study with 472 judged entries

>

(Thanks to @bascurtiz for the find)

[][BennVideo]

You can try out Matchering yourself without having to install it, thanks to the hosting provided by Songmastr, MVSEP and Moises.

Watch [the video][Video]:

[][Video]

So Matchering 2.0 will make your song sound the way you want! It opens up a wide range of opportunities:

• You can make your music instantly sound like your favorite artist's music
• You can make all the tracks on your new album sound the same very quickly
• You can find new aspects of your sound in experiments
• You can do everything as you want! Because of Your References, Your Rules.™ (just a little nostalgic note) 🤭

Differences from the previous major version:

- Completely rewritten in [Python 3], based on open source tech stack (no more [MATLAB])

- Our own open source [Hyrax] [brickwall limiter] was implemented for it

- Processing speed and accuracy have been increased

- Now it is [the library][PyPI] that can be connected to everything in the Python world

If you are looking for a Matchering paper, you can read this Habr article.

Installation and Usage

If you are a music producer or an audio engineer, choose the Desktop App or ComfyUI Node.

If you are an AI mastering startup, choose the Docker Image.

If you are a developer, choose the Python Library.

Desktop App - The Easiest Way

NEW! Matchering @ UVR5 Desktop App

You can find Matchering under Choose Process Method > Audio Tools & Choose Audio Tool > Matchering.

Or try WITHOUT Installation

ComfyUI Node

ComfyUI-Matchering

Docker Image

Windows

macOS

Linux

Updating

If you need to update the version of the installed Docker Image, follow these instructions.

Python Library - For Developers

Installation

4 GB RAM machine with [Python 3.8.0 or higher][Python 3] is required

libsndfile

Matchering 2.0 depends on the [SoundFile] library, which depends on the system library [libsndfile]. On Windows and macOS, it installs automatically. On Linux, you need to install [libsndfile] using your distribution's package manager, for example:

apt update && sudo apt -y install libsndfile1

python3-pip

On some Linux distributions, python3-pip is not installed by default. For example use this command on Ubuntu Linux to fix this:

apt -y install python3-pip

Matchering Python Package

Finally, install our matchering package:

# Linux / macOS
python3 -m pip install -U matchering
Windows
python -m pip install -U matchering

(Optional) FFmpeg

If you would like to enable MP3 loading support, you need to install the [FFmpeg][FFmpeg] library. For example use this command on Ubuntu Linux:

apt -y install ffmpeg

Or follow these instructions: [Windows][FFmpeg-win], [macOS][FFmpeg-mac].

Quick Example

import matchering as mg
Sending all log messages to the default print function
Just delete the following line to work silently
mg.log(print)
mg.process(     # The track you want to master     target="my_song.wav",     # Some "wet" reference track     reference="somepopularsong.wav",     # Where and how to save your results     results=[         mg.pcm16("mysongmaster_16bit.wav"),         mg.pcm24("mysongmaster_24bit.wav"),     ], )

You can find more examples in the [examples directory].

Or you can use premade Matchering 2.0 Command Line Application: [matchering-cli].

Or its enhanced fork: [kubinka0505/matchering-cli].

💓 WhatBPM

Looking for the perfect BPM or key for a new EDM track?

Check out WhatBPM!

A completely free open-source web service from the author of Matchering.

A Coffee

If our package saved your time or money, you may:

Thank you!

Links

• Press About Us
• Supporters
• Our Limiter Quality Test
• Matchering Hyrax Limiter JSFX clone by Tokyo Dawn Labs
• Log Codes Overview
• Our Thoughts

[Matchering]: https://github.com/sergree/matchering [Matchering 2.0]: https://github.com/sergree/matchering [Hyrax]: https://github.com/sergree/matchering/tree/master/matchering/limiter [mastering]: https://en.wikipedia.org/wiki/Audio_mastering [RMS]: https://en.wikipedia.org/wiki/Rootmeansquare [FR]: https://en.wikipedia.org/wiki/Frequency_response [peak amplitude]: https://en.wikipedia.org/wiki/Amplitude [stereo width]: https://en.wikipedia.org/wiki/Stereo_imaging [MATLAB]: https://www.mathworks.com/products/matlab.html [Python 3]: https://www.python.org/ [brickwall limiter]: https://en.wikipedia.org/wiki/Dynamicrangecompression#Limiting [PyPI]: https://pypi.org/project/matchering [SoundFile]: https://github.com/bastibe/SoundFile#installation [libsndfile]: http://www.mega-nerd.com/libsndfile/ [FFmpeg]: https://www.ffmpeg.org/download.html [FFmpeg-win]: https://video.stackexchange.com/questions/20495/how-do-i-set-up-and-use-ffmpeg-in-windows [FFmpeg-mac]: https://superuser.com/questions/624561/install-ffmpeg-on-os-x [matchering-cli]: https://github.com/sergree/matchering-cli [kubinka0505/matchering-cli]: https://github.com/kubinka0505/matchering-cli [examples directory]: https://github.com/sergree/matchering/tree/master/examples [Video]: http://www.youtube.com/watch?v=8Su5STDYfcA "Matchering 2.0 - Open Source Audio Matching and Mastering" [BennVideo]: https://www.youtube.com/watch?v=wZRV2H4PK0Q "Benn Jordan Matchering 2.0 Review"