Exporting annotations/highlights as a single file
 

I used to be able to do this on my Onyx Boox note:

1. With Neoreader2.0 highlight and annotate a pdf
2. Automate export to my computer via DropSync
3. Get a single .txt file (in a folder) with all highlights and annotations from each pdf (and I had a script to clean it up, too!)

Now after a device repair and reset, I've set up Dropsync to export (upload only) selecting the name inclusion patterns "*.txt" and "**exported**"

However, it is now producing and exporting a *one .txt file per comment*. I don't want to have to write a script to merge these.

(I know I can go to the directory and terminal and run the script/command
`cat *.txt > newfile.md'` but I'd rather not.


Anyone know how to get back that 'single .txt file'?

Bump....................

Hi there,

I can’t help you at all, but I’m really interested in how you export your highlights and annotations. In particular, how do they “look” once they are in your .txt file? I’m assuming you’re doing handwritten annotations, so I’m wondering how they are transferred to a .txt file. Could you perhaps copy and paste a sample here?

Thanks!

Something changed.
@toscadera: now they don't auto-export!
Now you must go through a series of steps in each file to get them to export. :(

Now that output comes out looking like this:
```


time：2020-03-12 12:43
【content】Intuitive moral judgments often share characteristics with deontological
theories in normative ethics,
【note】
-------------------

time：2020-03-12 12:45
【content】we test a functional explanation for this phenomenon
by investigating whether agents who express deontological moral judgments are more valued as social
partners. Across 5 studies, we show that people who make characteristically deontological judgments are
preferred as social partners, perceived as more moral and trustworthy, and are trusted more in economic
games. These findings provide empirical support for a partner choice account of moral intuitions whereby
typically deontological judgments confer an adaptive function by increasing a person’s likelihood of
being chosen as a cooperation partner
【note】
-------------------

```

But I do have some code to clean this up and turn it into a markdown format