[pixelmonkey]

I use https://libib.com for this use case. I didn't see it mentioned here, so figured I'd share.

I'll also mention a fun coding project that I used ChatGPT on. I created a data enriched spreadsheet out of my physical books. This could then be used to bulk import into libib for a searchable and visual digital bookshelf.

First I took photos of my bookshelves such that the spines were visible. Then I had ChatGPT vision model transcribe visible titles and authors, and guess the books based on that. Then I turned that into a CSV. Finally I had ChatGPT generate a Python script that used the Google Books API to enrich the spreadsheet with ISBNs. Finally I bulk uploaded that CSV with ISBNs to libib, and voila, I had a digitized library.

Just in case this gives you any ideas!

[hmkoyan]

Thank you for your comment. Libib is indeed a well-established player in this industry. Although it suggests a lot of different functionalities/features, it lacks detailed statistics/analytics regarding users' reading activity, libraries and content. It also doesn't allow you to create your own data fields for storing information about books, authors or publishers. Regarding data extraction from photos, I considered this method initially, but then decided to leave it until there is specific feedback regarding this. Apparently, people would actually use it, as another user also pointed this out in a comment.

[pixelmonkey]

Glad the comment was helpful. Cool project. From one book lover to another, best of luck!