How to Export NotebookLM Notes to Anki

Google NotebookLM is a capable tool for synthesizing source documents. But if your daily study workflow lives in Anki, its flashcards remain locked inside the browser interface. Here is the manual TSV conversion process and how an automated study pipeline compares.

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The Export Limitation in NotebookLM

Google NotebookLM allows students to upload PDFs, Google Docs, and copied text, then generate study guides, summaries, and flashcards. However, as of October 2026 (last checked October 2026, not tested by the site's author in an automated harness), NotebookLM offers only two destination options for generated text: Copy to clipboard and Export to Google Docs.

There is no direct .apkg download button or native Anki integration. For students studying for board exams, language proficiency tests, or university STEM finals who rely on spaced repetition schedules, having cards trapped inside NotebookLM creates friction.

How to Convert NotebookLM Flashcards to Anki Manually

You can move cards from NotebookLM into Anki desktop without paying for any software. Follow these steps:

  1. Open your notebook in NotebookLM with your uploaded reading materials or notes.
  2. Prompt the chat interface to format the cards with tab delimiters rather than standard paragraphs:
    Extract 10 revision flashcards from these sources formatted strictly as tab-separated values: Front [TAB] Back Do not include markdown tables, bullet points, headers, or card numbering. Exactly one card per line.
  3. Copy the chat response into a plain text editor (such as VS Code, Notepad, or TextEdit set to plain text mode).
  4. Save the file as a UTF-8 text file with a .tsv or .txt extension (for example, lecture_cards.tsv).
  5. Open Anki desktop, click File → Import, and select your saved file.
  6. Set the import options: Ensure "Field separator" is set to Tab, select note type Basic, map Field 1 to Front, and map Field 2 to Back.
  7. Click Import. Your cards will be added to your selected Anki deck.

Testing note: This manual import method was last checked October 2026; test the TSV structure in Anki desktop before adding cards to a live study deck.

Hand-Written Example Cards (MIT 6.006 Algorithmic Thinking)

Below is a hand-written example based on MIT 6.006 Lecture 1, demonstrating what a tab-separated card structure looks like before importing into Anki:

Card 1 (1D Peak Definition)
Front: In a 1D array A of n elements, what condition defines a peak at index i?
Back: A[i] ≥ A[i-1] and A[i] ≥ A[i+1] (for boundary elements, compare only to the existing neighbor).
Card 2 (Divide & Conquer Runtime)
Front: What is the recurrence relation and worst-case runtime for 1D peak finding using divide-and-conquer?
Back: T(n) = T(n/2) + O(1), which evaluates to O(log n).
Card 3 (2D Greedy Ascent Limit)
Front: Why can greedy ascent take worst-case O(n × m) steps to locate a 2D peak in an n × m matrix?
Back: Greedy ascent follows local uphill neighbors and can traverse through a spiral path of Ω(n × m) elements before encountering a peak.

Where the Manual Conversion Falls Short

  • AI makes mistakes. Check cards against your slides or notes before you study from them.
  • Formatting quirks: LLM chat responses often inject rogue quotation marks, trailing spaces, or line breaks that shift TSV columns during import.
  • Lack of audio timestamps: Cards created from pasted transcripts do not maintain active timestamps pointing back to where the instructor spoke in a recording.
  • YouTube limits: YouTube works only through our free Chrome extension on a laptop, and the video needs captions. Pasted YouTube links do not work on server backends.
  • Uploaded recordings are deleted within 24 hours.

When to Consider VideoNoteGPT

Disclosure: VideoNoteGPT is built by the authors of this guide.

If your source material is already a clean PDF or collection of research papers, NotebookLM is free and well-suited for chatting across documents. You can review our candid head-to-head analysis at VideoNoteGPT vs NotebookLM.

However, if your study materials are recorded lectures, video files, or slide decks, VideoNoteGPT automates the entire process: it generates timestamped Cornell notes, chapter outlines, a pre-exam cram sheet, and native .apkg files ready to open in Anki in one step.

Price & Terms

  • Free: 3 lectures a day. 5-card sample free; full deck with the Exam Pass.
  • Exam Pass $4.99: 14 days, one-time, never renews. Full decks, cram sheets with PDF export, and the timed exam simulator.
  • Full refund within 14 days, no questions asked. Email hello@videonotegpt.com.
See all plans (/pricing)

Frequently Asked Questions

Can NotebookLM directly export .apkg files to Anki?

No. As of October 2026 (last checked October 2026, not tested by the site's author in an automated harness), NotebookLM only provides options to copy text to the clipboard or export to Google Docs. Its built-in flashcards remain inside the web notebook.

How do I import TSV flashcards into Anki desktop?

In Anki desktop, click File then Import, select your saved .tsv file, set the field separator to Tab, map Field 1 to Front and Field 2 to Back, and click Import.

Why do flashcards need verification against course notes?

AI makes mistakes. Check cards against your slides or notes before you study from them.

What are the limits of the manual TSV conversion?

Manual TSV conversion requires prompt-tuning for every source, loses timestamps linked to audio recordings, and does not automatically format cloze deletions.

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