Searching for 6"-7" E-Reader with Buttons: Best for Annotations, Translation & KORead

[DJUNGELSKOG]

Originally Posted by Nils.B

Thanks a lot to David (DNSB) and Yapyap for the detailed responses!

I have one specific question left regarding PocketBook:
- For PocketBook (Era) / KOReader users: How seamless is dictionary lookup and highlight export (specifically to Markdown / .md files) in KOReader on PocketBook compared to Kobo? Does KOReader run just as smoothly on PocketBook OS?

Best regards,
Nils B.

I have a different Pocketbook model and I can confirm that Koreader runs even better on Pocketbooks than it does on Kobos because it integrates with the built-in firmware. You can always choose between the built-in reader and Koreader when opening an individual book from the library screen, and you can also opt to never ever leave Koreader, if that's what you prefer.

Exporting highlights and dictionary lookups is trivial as well, I can share my script that exports my dictionary lookups to anki if you are interested, you should be able to export it to .md as well.

[Nils.B]

Hi Dschungelwald,

Thanks a lot for the feedback! That sounds great—especially that KOReader integrates so seamlessly into PocketBook OS.

I'd actually be really interested in your script! If it can be used for exporting to .md files, that would be perfect for my workflow. How does the script work exactly, or where can I check it out?

Best regards,
Nils

[DJUNGELSKOG]

Python is not my main language so it’s probably a very ugly solution but it works for me

import sqlite3
import requests
from pystardict import Dictionary

DATABASE_PATH = 'vocabulary_builder.sqlite3'
STARDICT_PATH = 'your_dictionary_file_here’
ANKI_CONNECT_URL = 'http://localhost:8765'
NOT_FOUND_FILE = 'not_found.txt'

def get_translation(word):
    my_dict = Dictionary(STARDICT_PATH)
    for key in my_dict.idx.keys():
        if key == word:
            return my_dict.dict[key]

    return None


def add_note_to_anki(word, translation, prev_context, next_context):
    note = {
        "deckName": "your_deck_name",
        "modelName": "Basic",
        "fields": {
            "Front": word,
            "Back": f"{prev_context}[{word}]{next_context}<br><br>{translation}"
        },
        "tags": []
    }
    payload = {
        "action": "addNote",
        "version": 6,
        "params": {
            "note": note
        }
    }
    response = requests.post(ANKI_CONNECT_URL, json=payload)
    return response.json()

conn = sqlite3.connect(DATABASE_PATH)
cursor = conn.cursor()

cursor.execute("SELECT word, prev_context, next_context FROM vocabulary")
rows = cursor.fetchall()
not_found = []

for row in rows:
    word, prev_context, next_context = row
    translation = get_translation(word)
    print("TRANSLATION")
    print(translation)
    if translation:
        result = add_note_to_anki(word, translation, prev_context, next_context)
    else:
        print("not found")
        print(word)
        not_found.append(word)

with open(NOT_FOUND_FILE, 'w') as file:
    for word in not_found:
        file.write(f"{word}\n")

conn.close()

This exports words from koreader’s vocabulary builder database to anki, along with its context and translation.

You need to have Anki Desktop app running, otherwise it wouldn’t work. Or you can throw the anki part away and export it to .md instead

[Nils.B]

Thanks for sharing this, much appreciated! ��