https://github.com/believer/kindle-highlights

Parse Kindle highlights to Roam Research or Logseq
https://github.com/believer/kindle-highlights

kindle logseq rescript roamresearch serverless-functions

Last synced: 3 months ago
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Parse Kindle highlights to Roam Research or Logseq

• Host: GitHub
• URL: https://github.com/believer/kindle-highlights
• Owner: believer
• Created: 2021-04-21T14:19:56.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-02-26T15:18:43.000Z (over 1 year ago)
• Last Synced: 2024-05-11T23:33:59.736Z (6 months ago)
• Topics: kindle, logseq, rescript, roamresearch, serverless-functions
• Language: ReScript
• Homepage: https://kindle-to-logseq-web.vercel.app/
• Size: 766 KB
• Stars: 13
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md

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• awesome-list - kindle-highlights

README

        
# Kindle Highlights

[![](https://github.com/believer/kindle-highlights/workflows/Release/badge.svg)](https://github.com/believer/kindle-highlights/actions?workflow=Release)

This is a perfect application if you read a lot on a Kindle and want to create

notes from your highlights.

It parses the Kindle highlights file (called `My Clippings.txt` on

the Kindle). After processing you are able to filter by title and copy the

highlights in three different formats:

- [Logseq](http://logseq.com/)

- [Roam Research](https://roamresearch.com/)

- Markdown

![Screenshot of the application](/screenshots/screenshot.png)

## Parser

The parser takes the Kindle highlights file, `My Clippings.txt`, and returns an array with parsed data that is presented in the web interface.

This code lives in [`parser`](/packages/parser) and is written in JavaScript.

## Web

The web interface which is available at [https://kindle.willcodefor.beer](https://kindle.willcodefor.beer).

This code lives in [`web`](/packages/web) and is written in [ReScript](http://rescript-lang.org/).

### Step-by-step

- Connect your Kindle to your computer

- Find it in File explorer / Finder

- Navigate to the `documents` folder

- Either use the button or drop your `My Clippings.txt` file on the page to parse the highlights

- Filter by book title

- Click copy (configure in the settings which format you want)