Wikipedia to NotebookLM
Save Wikipedia articles with citations to NotebookLM. Powered by Notebook Toolkit — the browser extension that bridges your favorite platforms to NotebookLM.
Wikipedia is the starting point of most research. Notebook Toolkit captures Wikipedia articles into NotebookLM with section structure, references, and citations preserved.
This is invaluable for students and researchers who use Wikipedia for orientation: save the article plus its citations, then follow the citation trail and add primary sources to the same NotebookLM notebook.
How It Works
Install the Notebook Toolkit extension
Add Notebook Toolkit from the Chrome Web Store and sign in to your account. Works on Chrome, Edge, Brave, and Arc.
Open Wikipedia
Navigate to Wikipedia and start or open a conversation. Notebook Toolkit detects the platform automatically.
Click the capture button
The Notebook Toolkit capture button appears in the Wikipedia interface. Click it to select what to save.
Save to NotebookLM
Choose your target workspace, add optional tags, and click save. Your content appears in NotebookLM within seconds.
Features
Frequently Asked Questions
How do I export Wikipedia to NotebookLM?
Install the Notebook Toolkit browser extension, open Wikipedia, and click the capture button. Select your workspace and save — the content appears in NotebookLM instantly.
Is the Wikipedia integration free?
Yes, basic Wikipedia capture is available on the free plan. Pro users get unlimited capture, advanced formatting, and workspace routing.
Does Notebook Toolkit preserve formatting from Wikipedia?
Yes, Notebook Toolkit preserves code blocks, markdown formatting, links, and structure from Wikipedia conversations and content.
Can I capture specific parts of a Wikipedia conversation?
Yes, Notebook Toolkit supports selective capture. You can choose to export the entire conversation or select specific messages and sections.
Start saving Wikipedia to NotebookLM today
Install Notebook Toolkit for free and capture your first Wikipedia conversation in under 60 seconds.