Export Kindle HighlightsWithout Limits

Publishers set per-book limits on how much text you can highlight and export - typically 10-20% of the book. Once you hit the cap, Amazon automatically removes your oldest highlights to make room for new ones.

TextMuncher takes a different approach - instead of exporting highlights through Amazon's limited system, it extracts the actual page text. You get full passages, not just the highlighted fragments.

Readwise syncs your existing Kindle highlights, which are still subject to Amazon's clipping limits. TextMuncher reads the page image instead of the highlight export, so those limits do not apply and you get full chapters instead of capped fragments.

Yes. TextMuncher outputs plain text that you can paste into Notion, Obsidian, Evernote, Roam, or any app. The text works anywhere - no special export format needed.

In Speed mode — the default — TextMuncher operates in your browser and processes screenshots locally. Optional Pro Quality mode sends only hard-to-read pages to a cloud OCR service; no data is sent to Amazon.

Open your book in Kindle Cloud Reader and navigate to a section you highlighted, then run TextMuncher across those pages. Because it grabs the entire page rather than just the highlighted span, you keep the full surrounding context that Amazon's clipping export strips away. Start capture a page early and stop a page late to be sure nothing gets cut off.

Each title has a publisher-set clipping cap, and once your highlights exceed it, Amazon quietly removes the earliest ones to stay under the limit. That is why long-term readers lose notes they thought were saved. Capturing the underlying page as text instead means your passages live in a file you control, safe from any cap or automatic pruning.

Yes. The extracted text is plain text you own outright, so once it is saved to a note or document it never expires and never gets trimmed to fit a quota. Organize passages by book, theme, or project, back them up wherever you like, and revisit them years later. Nothing depends on staying inside Amazon's system.