Audio Archivist.

Helps manage collection of audio assets, with reporting on audio resolution, opinionated file naming, audio tagging and audio conversion.

Install taglib, e.g. on mac

brew install taglib

And install the pytaglib python library

pip3 install pytaglib

If you want to use aconvert you'll also need ffmpeg, e.g. on mac

brew install ffmpeg

Install

pip3 install -r requirements.txt
pip3 install -e .

Report on audio meta data

ameta

And convert an audio file to release format

aconvert my.wav

The meta data for the audio files can be taken from the file and directory naming, and if you want be written directly to the audio files so that when the audio file is run on audio players you see the desired song name, album name and artist name.

To take meta data from file names, place the audio file in a directory named as the album name, and place the album directory in a directory named after the artist.

Meta data can also be overridden by creating a meta.yaml file in current directory or parent directory to define artist and album metadata, e.g

song:
  artist: Me

With this structure in place open up the command line in the artist directory (or directory above that if you're sorting out multiple artists), and run

ameta -n

This will report on the meta data that you can then apply with:

ameta -sn

If you want to also rename the files using a consistent naming pattern (with artist, album and song name in), then run

ameta -snr

Create a meta-root.yaml in the root directory of your audio files to provide support for collections.

See supported command line arguments with

ameta -h
aconvert -h

Create a variety of audio formats from a given audio file in a sub-directory called Test.

atest my.wav

This can help you decide what format is best for your specific purpose.

pytest

With coverage

pytest --cov=. --cov-report term-missing