base on 🎚️ Open Source Audio Matching and Mastering [](https://t.me/tribute/app?startapp=de85)  [](https://pypi.python.org/pypi/matchering/) [](https://badge.fury.io/py/matchering) [](https://pypi.python.org/pypi/matchering/) [](https://github.com/vinta/awesome-python) [](https://github.com/psf/black) ## Matching + Mastering = ❤️ **[Matchering 2.0]** is a novel **[Containerized Web Application](#docker-image)**, **[Python Library][PyPI]**, and **[ComfyUI Node](#comfyui-node)** for audio matching and [mastering]. 🔥 Also integrated in the **[UVR5 Desktop App](https://ultimatevocalremover.com/)**! 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](https://github.com/bascurtiz) for [the find](https://github.com/sergree/matchering/issues/59))* [][BennVideo] You can try out **Matchering** yourself without having to install it, thanks to the hosting provided by **[Songmastr](https://www.songmastr.com/)** and **[Moises](https://moises.ai/)**. 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.™](https://macprovideo.com/article/audio-software/sound-tools-instant-online-mastering-with-reference-matching-now-in-open-beta)** *(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](https://habr.com/ru/post/709120/)**. # Installation and Usage If you are a music producer or an audio engineer, choose the **[Desktop App](#desktop-app---the-easiest-way)** or **[ComfyUI Node](#comfyui-node)**. If you are an AI mastering startup, choose the **[Docker Image](#docker-image)**. If you are a developer, choose the **[Python Library](#python-library---for-developers)**. # Desktop App - The Easiest Way ### [NEW! Matchering @ UVR5 Desktop App](https://ultimatevocalremover.com/) You can find Matchering under `Choose Process Method > Audio Tools & Choose Audio Tool > Matchering`. ### [Or try WITHOUT Installation](https://www.youtube.com/watch?v=Aw0nH6QqAck) # ComfyUI Node ### [ComfyUI-Matchering](https://github.com/MuziekMagie/ComfyUI-Matchering) # Docker Image ### [Windows](https://github.com/sergree/matchering/blob/master/DOCKER_WINDOWS.md) ### [macOS](https://github.com/sergree/matchering/blob/master/DOCKER_MACOS.md) ### [Linux](https://github.com/sergree/matchering/blob/master/DOCKER_LINUX.md) ## Updating If you need to update the version of the installed **Docker Image**, follow **[these instructions](https://github.com/sergree/matchering/blob/master/DOCKER_UPDATING.md)**. # 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: ```sudo 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: ```sudo 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: ```sudo apt -y install ffmpeg``` Or follow these instructions: [Windows][FFmpeg-win], [macOS][FFmpeg-mac]. ## Quick Example ```python 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="some_popular_song.wav", # Where and how to save your results results=[ mg.pcm16("my_song_master_16bit.wav"), mg.pcm24("my_song_master_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!](https://sergree.github.io/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: [](https://t.me/tribute/app?startapp=de85) **Thank you!** ## Links - [Press About Us](https://github.com/sergree/matchering/blob/master/PRESS.md) - [Supporters](https://github.com/sergree/matchering/blob/master/SUPPORTERS.md) - [Our Limiter Quality Test](https://github.com/sergree/matchering/blob/master/LIMITER_TEST.md) - [Matchering Hyrax Limiter JSFX clone by Tokyo Dawn Labs](https://github.com/JClones/JSFXClones/blob/master/JClones_Hyrax.md) - [Log Codes Overview](https://github.com/sergree/matchering/blob/master/LOG_CODES.md) - [Our Thoughts](https://github.com/sergree/matchering/blob/master/THOUGHTS.md) [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/Root_mean_square [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/Dynamic_range_compression#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" ", Assign "at most 3 tags" to the expected json: {"id":"12046","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"