Tutorials
How to Get Started with NotebookLM: A Complete Beginner's Guide
Learn NotebookLM from scratch—account setup, creating notebooks, uploading documents, asking questions, and exporting your work in one step-by-step walkthrough.
How to Get Started with NotebookLM
This tutorial walks you through NotebookLM from zero to productive use. Whether you are a student, researcher, or knowledge worker, follow the steps below to get up and running with this AI research assistant and smart note-taking tool.
Step 1: Visit and Sign In
- Open notebooklm.google.com
- Sign in with your Google account (any Gmail account can use the free tier)
- After your first login, you will land on the NotebookLM home screen
Step 2: Create a Notebook
A notebook is the core container in NotebookLM. Each notebook can hold multiple source documents.
- Click the New notebook button
- Name your notebook—for example, “Machine Learning Literature Review”
- Once the notebook is created, you can start adding sources
Step 3: Add Source Materials
NotebookLM supports several types of source materials:
- PDF files: Drag and drop to upload, or import from Google Drive
- Google Docs / Slides: Select directly from the cloud
- Web URLs: Paste a link and NotebookLM will fetch the content automatically
- YouTube videos: Transcripts are pulled automatically
- Plain text: Paste text content directly
Tip: The free plan supports up to 50 sources per notebook. Organize notebooks by topic for easier management.
Step 4: Chat with AI
After your sources are added, you can use the chat panel to:
- Ask questions: “What are the main contributions of this paper?”
- Generate content: “Create an FAQ based on these materials”
- Build study guides: “Make an exam review outline from these sources”
- Audio Overview: Generate a two-host podcast-style audio summary
Every AI response includes citation links—click them to jump to the supporting passage in your sources.
Step 5: Export and Share
When your research is ready, you can:
- Export reports as PDF, Word, Excel, and other formats
- Generate data visualizations
- Share notebooks with teammates (view or edit permissions)
Next Steps
- Learn how NotebookLM differs from general-purpose AI
- Explore academic literature review techniques
- Read our Gemini 3.5 upgrade overview
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