Analysis updated 2026-07-06 · repo last pushed 2016-09-21
Organize highlights from multiple books into separate files for easier research.
Copy favorite passages from a specific book into a notes app without scrolling through one giant file.
Prepare Kindle highlights for a blog post by having them pre-sorted by book.
| mollyiv/kindleclippingsparser | 0xhassaan/nn-from-scratch | a-little-hoof/dsr | |
|---|---|---|---|
| Stars | — | 0 | 0 |
| Language | Python | Python | Python |
| Last pushed | 2016-09-21 | — | — |
| Maintenance | Dormant | — | — |
| Setup difficulty | easy | moderate | hard |
| Complexity | 2/5 | 4/5 | 5/5 |
| Audience | general | developer | researcher |
Figures from each repo's GitHub metadata at analysis time.
Requires Python and a copy of your Kindle's My Clippings.txt file, but no external dependencies or API keys are needed.
KindleClippingsParser is a simple tool that takes the messy "My Clippings.txt" file your Kindle generates and turns it into clean, organized text files, one per book, named with the title and author. When you highlight passages on a Kindle, every highlight gets dumped into a single text file on the device. That file is hard to read and mixes all your books together. This script reads that file, figures out which highlights belong to which book, and writes each book's highlights into its own separate text file. The output is just your highlights, separated by blank lines, no extra metadata or formatting clutter. This is useful for anyone who reads on a Kindle and wants to actually do something with their highlights. Maybe you're researching a topic across several books and want your notes organized by source. Maybe you want to copy your favorite passages into a notes app or a blog post. Instead of manually scrolling through one giant file and copy-pasting sections, you get one tidy file per book ready to use. The tool is straightforward and does one thing. It's a Python script you run from the command line, pointing it at your clippings file. The README notes that configurable output directories are on the to-do list, so for now the output location isn't something you can customize. The project is open source under the MIT license, and the author invites suggestions for improvements.
A simple Python script that reads the messy clippings file from your Kindle and splits it into clean, separate text files, one per book with the title and author.
Mainly Python. The stack also includes Python.
Dormant — no commits in 2+ years (last push 2016-09-21).
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.