A python script that processes Kindle clippings and organizes them into separate files for each book.
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Updated
Jul 27, 2024 - Python
A python script that processes Kindle clippings and organizes them into separate files for each book.
Extracts your Kindle Clippings and exports them to Notion through a simple GUI | Open source Readwise alternative for Notion
Export all clippings from your Kindle device to a database in Notion.
All my favourite highlights helping me everyday. Rebirth through fortune cookies!
A Python-script to extract and organise highlights and notes from the "My Clippings.txt" file on a Kindle e-reader and convert it to Markdown for Obsidian.
Using Python to organize Kindle's My Clippings.txt. It will generate individual .csv or .txt files for each book, which contains highlights and notes with sorted location information. You can use the exported .csv and .txt files in any personal notebook platforms, such as Notion and Evernote.
Export all clippings from your Kindle device to a database in Notion. Version for Brazilian Portuguese.
A parser to take Kindle highlights from the clippings file, put them in their MD files, and add some basic styles.
A Kindle Clipping Management System.
Script to organize clippings made using a Kindle device.
CLI util to scrape the myclippings.txt file in Kindle devices.
Parse Amazon Kindle's 'My Clippings.txt' file
Commands for importing and managing highlights and notes from your E-book reader.
kindle导出的diy小程序,如果有可以帮助到你,我的荣幸之至啦~帮忙star一下,满足我的虚荣心~嘿嘿 This is a script about exporting clippings and thoughts on kindle using Python for Windows
A program that extracts highlights on your kindle from the My Clippings.txt file even when the book is downloaded from an external source.
Parse text from kindle into quotes and word, find definitions and examples of words and email to myself each day.
Backup and extract your kindle annotations in a semi-automatic fashion using GitHub actions.
Web app to take kindle clippings and separate them by author into a more navigable format.
Importing Kindle Highlights to Day One 2
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