notebooklm-to-anki 0.1.0

Convert Google NotebookLM flashcards and quizzes to Anki decks

notebooklm-to-anki

Convert Google NotebookLM flashcards and quizzes into Anki decks (.apkg) you can import and study with spaced repetition.

License: MIT

What it does

Google NotebookLM can generate flashcards and quizzes from your study materials. This tool takes those exports (JSON files) and converts them into .apkg files that Anki can import -- so you get the best of both worlds: AI-generated questions + spaced repetition.

flowchart LR
    A[NotebookLM] -->|export or nlm-py| B[JSON]
    B -->|nlm2anki| C[.apkg]
    C -->|File > Import| D[Anki]

Quick Start

pip install notebooklm-to-anki

# Convert a JSON file you already have
nlm2anki convert flashcards.json

That's it. Open Anki, go to File > Import, select the generated .apkg file, and start studying.

Want to pull directly from NotebookLM?

pip install 'notebooklm-to-anki[nlm]'

notebooklm login
nlm2anki flashcards --all

Features

• Converts flashcards (front/back) and quizzes (multiple choice with rationale)
• 3 built-in card themes: dark (Catppuccin Mocha), light, and minimal
• Optional category grouping via YAML config
• Works with local JSON files or directly with NotebookLM (via notebooklm-py)
• Quiz cards show all options (A-Z) with correct/incorrect rationale on the back

Usage

Convert local files

Flashcards:

nlm2anki convert flashcards.json

Quizzes:

nlm2anki convert quiz.json

The output .apkg file is saved in the current directory.

Download from NotebookLM

Download flashcards from all your notebooks:

nlm2anki flashcards --all

Download from a specific notebook:

nlm2anki flashcards --notebook "Biology 101"

Choose a theme

nlm2anki convert flashcards.json --theme dark      # Catppuccin Mocha (default)
nlm2anki convert flashcards.json --theme light     # Clean light background
nlm2anki convert flashcards.json --theme minimal   # No styling, just text

Organize by category

Create a categories.yaml file to group cards into sub-decks:

Git Basics:
  - commit
  - branch
  - merge

SQL:
  - SELECT
  - JOIN
  - WHERE

Then pass it with --categories:

nlm2anki convert flashcards.json --categories categories.yaml

Cards whose content matches a keyword will be placed in the corresponding sub-deck.

JSON Formats

Flashcards

[
  {
    "front": "What is spaced repetition?",
    "back": "A study technique where you review material at increasing intervals to improve long-term retention."
  }
]

Quizzes

[
  {
    "question": "Which planet is closest to the Sun?",
    "options": [
      {"letter": "A", "text": "Venus"},
      {"letter": "B", "text": "Mercury"},
      {"letter": "C", "text": "Earth"}
    ],
    "answer": "B",
    "rationale": "Mercury orbits at an average distance of 57.9 million km from the Sun, making it the closest planet."
  }
]

Installation

Basic -- convert local JSON files only:

pip install notebooklm-to-anki

With NotebookLM integration -- download flashcards directly:

pip install 'notebooklm-to-anki[nlm]'

For development:

pip install 'notebooklm-to-anki[dev]'

Requires Python 3.10+.

How it works

Under the hood, nlm2anki uses genanki to generate .apkg files.

• Flashcards become Anki Basic notes (front/back).
• Quizzes become cards with the question + options A-Z on the front, and the correct answer + rationale on the back.
• Plain text from NotebookLM is enriched with HTML formatting (inline code, SQL keywords, CLI commands) so cards look good in Anki.

Contributing

Contributions are welcome! Feel free to open an issue or submit a pull request.

git clone https://github.com/difrancesco/notebooklm-to-anki.git
cd notebooklm-to-anki
pip install -e '.[dev]'
pytest

License

MIT