Digitizing your collection is surprisingly simple. No barcodes, no typing, no tedious data entry. Just your phone camera and a few minutes.
Forget pulling every item off the shelf. Just photograph it where it sits and ShelvesAI reads spines, labels, and covers.
Title, author, artist, release year, and format are all retrieved automatically. You just review and save.
A shelf that would take an hour to catalog manually is done in under a minute with ShelvesAI.
Traditional collection apps require you to scan each item's barcode individually. For a bookshelf with 40 books, that means pulling every book off the shelf, locating the barcode, scanning it, waiting for the lookup, and placing it back. Multiply that across an entire room of shelves and you're looking at hours of work.
ShelvesAI skips all of that. You photograph the shelf as-is, and our vision AI reads the spines in bulk. What used to take hours takes minutes. And because ShelvesAI reads text rather than barcodes, it works with older items that predate barcodes, used items with damaged codes, and anything where the barcode simply isn't accessible.
ShelvesAI works with any physical collection that sits on a shelf or in a display:
Once your collection is in ShelvesAI, you can search it by any detail like title, author, genre, platform, or year. You can tag items, add personal notes, and organize however makes sense to you. And if you want to share what you've built, make your shelves public and connect with collectors who share your interests through the social feed.
Hold your phone up to your bookshelf, record crate, media cabinet, or display case. ShelvesAI works with books, vinyl, movies, video games, and collectibles.
Our vision system reads what's visible (spines, labels, case art) and matches each item to our catalog database. Metadata is filled in automatically.
Review the results, make any adjustments, and save. Your complete collection is now searchable, organized, and shareable.
Get the app free on iOS and Android — or join our mailing list for updates.