Tag .mp3 and .m4a audio files from iTunes data automatically.
There are various standards in audio file tagging, and the fields they contain are huge mess, but since most of them are not being used by us normal people, to make things simpler, I chose 8 essential and common fields pragmatically:
Title
Album
Artist
Album Artist
Genre
Release Date
Track Number
Disc Number
By default, autotagger will only work with these 8 fields, anything not included will be ignored.
autotagger is currently tested under Mac OS X with Python 2.7.10, if you find anything wrong with this program, feel free to submit an issue.
TODO:
[ ] append album artwork in tracks
Installation
pip install autotagger
Usage
autotagger combines audio files with iTunes data, it uses track number (and disc number, if exists) to identify a song and match it with iTunes data. In short, the progress could be summarized in three steps:
Find the url of your album on iTunes, for example.
Make sure every song you want to tag has track number (and disc number, if its a multi-CD album) set properly. You can use a ID3 tagging tool like meta on OS X or mp3tag on Windows to achieve that.
Run autotagger command with data above.
autotagger --help to see detailed information about command line options.
Input/Paste songs manually
Use -u to indicate the iTunes album url:
autotagger -u https://itunes.apple.com/us/album/schole-compilation-vol.-1/id251480659
After running this command, autotagger will ask you to enter the file paths, you can copy them by right click on songs in finder and choose Copy Path
Then paste them in the terminal, and hit enter to continue.
You can also album id instead of url to make it clearer:
autotagger -i 251480659
Pass songs from pipeline
If you can get the song names from other command’s output, you can use pipeline mode to feed the input, add -p option to enable this feature:
find album -type f -name '*.mp3' | autotagger -i 251480659 -p
Download artwork
Add -a option to download artwork, note this option will make the command stop tagging songs.
autotagger -i 251480659 -a
Screenshots
autotagger -i 251480659
find album -type f -name '*.mp3' | autotagger -i 251480659 -p
Metadata
Release files for autotagger 0.1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| autotagger-0.1.6.tar.gz | 7.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| autotagger-0.1.6-py2-none-any.whl | Python 2 | none | any | Details |
Total release size: 17.1 kB
Release files / autotagger-0.1.6.tar.gz
| Download URL | autotagger-0.1.6.tar.gz |
|---|---|
| Size | 7.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / autotagger-0.1.6-py2-none-any.whl
| Download URL | autotagger-0.1.6-py2-none-any.whl |
|---|---|
| Size | 9.7 kB |
| Tags | Python 2 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for autotagger 0.1.6
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