I highlighted 1,211 passages in one book. When I exported them from Amazon's notebook page, 283 came back cut off mid-sentence and 180 came back as a location number with no text at all, under a notice that "some highlights have been hidden or truncated due to export limits." Amazon doesn't document the limit and you can't raise it.
Those highlights are my own notes in my own account, so I built a Claude Code skill that gets them back. Three unlocks made it work:
- The Mac Kindle app syncs a SQLite database with the exact character-precise start/end position of every highlight — no export limit applies to it.
- The Cloud Reader renders pages as images that can be captured via canvas and OCR'd locally with Apple Vision (free, on-device, no tokens).
- Known positions turn recovery from transcription into arithmetic: find the known prefix, cut to the known length. Recovered text lands within 0-2 characters of the position ruler (median residual 0-1).
Four books so far: 2,432 highlights, 815 of them export-blocked — all recovered, verbatim, location-cited, into one Markdown file per book.
Constraints, honestly: macOS only (AppleScript browser control, Apple Vision OCR, the Mac Kindle app's data files), your own logged-in Chrome, and Claude Code to drive it. It reads only your own annotations on your own account — no DRM is touched, and the output is for your personal notes.
I highlighted 1,211 passages in one book. When I exported them from Amazon's notebook page, 283 came back cut off mid-sentence and 180 came back as a location number with no text at all, under a notice that "some highlights have been hidden or truncated due to export limits." Amazon doesn't document the limit and you can't raise it.
Those highlights are my own notes in my own account, so I built a Claude Code skill that gets them back. Three unlocks made it work:
- The Mac Kindle app syncs a SQLite database with the exact character-precise start/end position of every highlight — no export limit applies to it.
- The Cloud Reader renders pages as images that can be captured via canvas and OCR'd locally with Apple Vision (free, on-device, no tokens).
- Known positions turn recovery from transcription into arithmetic: find the known prefix, cut to the known length. Recovered text lands within 0-2 characters of the position ruler (median residual 0-1).
Four books so far: 2,432 highlights, 815 of them export-blocked — all recovered, verbatim, location-cited, into one Markdown file per book.
Constraints, honestly: macOS only (AppleScript browser control, Apple Vision OCR, the Mac Kindle app's data files), your own logged-in Chrome, and Claude Code to drive it. It reads only your own annotations on your own account — no DRM is touched, and the output is for your personal notes.
Build story: https://baowebdev.substack.com/p/how-to-take-back-your-kindl...