Gemini Notebook
by Google
Gemini Notebook (formerly NotebookLM) is Google's source-grounded AI research assistant, rebranded on July 16, 2026. It generates summaries, interactive study materials, Audio Overviews (conversational podcasts), Cinematic Video Overviews, and multimedia outputs based exclusively on user-provided content. Paid tiers add a secure cloud computer for native Python code execution, data analysis, and chart generation. User uploads are not used to train Google's foundational models without express permission.
Primary Use Cases
- Research synthesis and summarization
- Study material generation
- Document analysis and Q&A
- Data analysis with code execution
- Podcast and video content creation from documents
✅ Strengths
- Grounded exclusively in user-provided sources — reduces hallucination risk
- Rich multimedia output formats
- Privacy-respecting: uploads not used for training
- Free tier available
- Deep integration with Google Workspace
⚠️ Limitations
- Does not support HIPAA, SOC, or FedRAMP compliance
- Secure cloud computer limited to paid tiers
- Free tier has usage caps (50 daily chats, 3 Audio/Video Overviews)
- Cannot access external web sources beyond user uploads
Technical Specifications
Trust & Privacy
Built on Gemini 3.5
Ecosystem & Integrations
Pricing Breakdown
100 notebooks, 50 sources, 50 daily chats, 3 Audio/Video Overviews, 10 Deep Research/month
0200 notebooks, 100 sources, 200 daily chats, 6 Audio/Video Overviews, 3 Deep Research/day
500 notebooks, 300 sources, 500 daily chats, 20 Audio/Video Overviews, 20 Deep Research/day