https://github.com/davidedc/a-thousand-notes

In Jan 2021 I moved around 29k notes from Evernote to markdown. These are the scripts I used to clean-up, validate, maintain the markdown notes.
https://github.com/davidedc/a-thousand-notes

evernote markdown obsidian-md

Last synced: about 2 months ago
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In Jan 2021 I moved around 29k notes from Evernote to markdown. These are the scripts I used to clean-up, validate, maintain the markdown notes.

• Host: GitHub
• URL: https://github.com/davidedc/a-thousand-notes
• Owner: davidedc
• Created: 2020-12-09T21:46:14.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2022-09-02T21:53:13.000Z (over 2 years ago)
• Last Synced: 2024-10-12T22:24:08.703Z (2 months ago)
• Topics: evernote, markdown, obsidian-md
• Language: Python
• Homepage:
• Size: 374 KB
• Stars: 33
• Watchers: 3
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md
  • Changelog: change-all-notes-path.py

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README

        
### Background

In Q4 2020 Evernote released version 10 of their client. To my dismay, this version wasn't sufficiently performant with as many notes as I had (Evernote probably decided to target a faster-growing segment of users with fewer notes). Also the client came with limitations on how many notes one could export at one time.

Luckily, Evernote still supported a legacy client, from which I could bulk-export all 28k notes. Using Bear on OSX, I could then import the Evernote export, and export all the notes in markdown.

### Migration cleanup scripts

The resulting markdown (+ assets) notes have some problems:

* notes with the same title have their assets in the same directory

* note file names contain all kind of automation-unfriendly special characters (emojis, ideographic etc.)

* some assets are linked using html instead of markdown

these scripts help in resolving these problems.

### Workflow scripts

A "plain" markdown solution makes it possible  to automate many workflows - this repo contains (or will contain) scripts for these workflows.

For example:

* finding keywords and extracting text "around" their occurrences

* NLP workflows e.g. automatic summarisation, automatic duplicates finding, automatic tagging

* finding spelling mistakes across all notes

* finding deletable content across all notes (e.g. social media sharing headers, chumbox links etc.)

* scripts to (bulk) change/restore the creation/update date/time of the notes