album-splitter
Do you have a music album as a single file (locally or on YouTube), with all its tracks joined together? Do you want to split that album in its single tracks? Do you want to tag these tracks so your music player can get all the required info from them?
This script is for you!
Install ffmpeg
Install Python 3
Install pip3
Install virtualenv
(optional)
Fork/Clone/Download this repository
virtualenv -p /usr/bin/python3 venv
(optional)
source venv/bin/activate
Install the required packages via pip
pip install -r requirements/prod.txt
Create a copy of the tracks.txt.example, rename it as tracks.txt and delete the lines starting with #.
Open tracks.txt
Add tracks info in this format:
<start-time> - <title>
A track on each line
See Examples section, many other formats supported
Run the script
Basic usage: python split.py -mp3 <path/to/your/album.mp3>
More in the Examples section
Wait for the splitting process to complete
You will find your tracks in the splits
folder
Copy the YouTube URL of the album you want to download and split
Find in the YouTube comments the tracklist with start-time and title
Create a copy of the tracks.txt.example, rename it as tracks.txt and delete the lines starting with #.
Open tracks.txt
Copy the tracklist in the file, adjusting for the supported formats
<start-time> - <title>
A track on each line
Run the script
Basic usage: python split.py -yt <youtube_url>
More in the Examples section
Wait for the Download and for the conversion
Wait for the splitting process to complete
You will find your tracks in the splits
folder
This is the album I want to download and split: https://www.youtube.com/watch?v=p_uqD4ng9hw
I find the tracklist in the comments and I copy that in tracks.txt
, eventually adjusting it to a supported format for the tracklist
00:06 - When I Was Young ... 14:48 - Pretty Little Girl <start-time> - <title> <--- remove this, just as a reminder of the format
I execute python split.py -yt "https://www.youtube.com/watch?v=p_uqD4ng9hw"
and wait
Once the process is complete I open splits
and I find all my songs:
When I Was Young.mp3 ... Pretty Little Girl.mp3
These songs are already mp3-tagged with their track name and track number, but not their author or their album, since we have not specified it.
I somehow got the file DogsEatingDogsAlbum.mp3
that I want to split
I set the tracklist in tracks.txt
(same tracks as before)
I execute python split.py -mp3 DogsEatingDogsAlbum.mp3 --album "Dogs Eating Gods" --artist "blink-182" --folder "2012 - Dogs Eating Dogs"
The program will execute, it will split the album, and mp3-tag each track with the author and the album name I passed as a parameter (as well as track number and name). It will also put the files in the folder passed as an argument (instead of putting them in the default splits
folder)
This is the album I want to download and split: https://www.youtube.com/watch?v=p_uqD4ng9hw
This is the Wikipedia page that has the album tracklist: https://en.wikipedia.org/wiki/Dogs_Eating_Dogs
I execute python split.py -yt "https://www.youtube.com/watch?v=p_uqD4ng9hw" --metadata "https://en.wikipedia.org/wiki/Dogs_Eating_Dogs"
and wait
Once the process is complete I open splits
and I find all my songs:
When I Was Young.mp3 ... Pretty Little Girl.mp3
These songs are already mp3-tagged with their track name and track number, but not their author or their album, since we have not specified it (specify them using the --author
and --album
flags).
The same thing works if you provide a link to the Amazon page for that album.
python split.py -h
tracks.txt
)These are just some examples.
[hh:]mm:ss - Title
Title - [hh:]mm:ss
Title [hh:]mm:ss
TrackNumber. Title [hh:]mm:ss
TrackNumber - Title [hh:]mm:ss
To see which data would be extracted from the tracklist use the option --dry-run
. It also works if you pass any external --metadata
url.
Example:
python split.py --dry-run -yt https://www.youtube.com/watch?v=T44T8JdMOak --metadata https://www.amazon.com/Enema-State-Blink-182/dp/B00000IPAX
will output
**** DRY RUN **** Matched with a metadata provider... Parsing tracks.txt Dumpweed [Explicit] *** 00:00:00 ... Anthem *** 00:31:40
Check the Issues
page
If you need any help just create an Issue or send me an email at the address you can find on my profile.
If you want to improve the code and submit a pull request feel free to do so.
GPL v3
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