After downloading a CSV file and running it through ChatGPT I have realised I have a considerable amount of books without Tags.
I have had ChatGPT update the Tags against my book and export it to a an updated SS to achieve 100% Tags.
The recommended approach is below and I am wondering before I do this (if I can work that out), what is everyones / anyones thoughts
How to import back into Calibre
Calibres command line tool calibredb set_metadata can update individual metadata fields by book ID, including tags using the format --field tags:tag1,tag2. The Calibre documentation also supports specifying a library path where needed.
Recommended dry run first:
python3 apply_calibre_tags.py --csv Calibre_Tag_Updates_approved_only.csv --library-path "/path/to/Calibre Library"
Then apply:
python3 apply_calibre_tags.py --csv Calibre_Tag_Updates_approved_only.csv --library-path "/path/to/Calibre Library" --apply
This script replaces the Calibre tags field for each selected book ID. Back up your Calibre library before running it.
I have had ChatGPT update the Tags against my book and export it to a an updated SS to achieve 100% Tags.
The recommended approach is below and I am wondering before I do this (if I can work that out), what is everyones / anyones thoughts
How to import back into Calibre
Calibres command line tool calibredb set_metadata can update individual metadata fields by book ID, including tags using the format --field tags:tag1,tag2. The Calibre documentation also supports specifying a library path where needed.
Recommended dry run first:
python3 apply_calibre_tags.py --csv Calibre_Tag_Updates_approved_only.csv --library-path "/path/to/Calibre Library"
Then apply:
python3 apply_calibre_tags.py --csv Calibre_Tag_Updates_approved_only.csv --library-path "/path/to/Calibre Library" --apply
This script replaces the Calibre tags field for each selected book ID. Back up your Calibre library before running it.






