Create a notebook and add supported sources such as files, Google documents, webpages, YouTube URLs, audio or copied text. Select sources, ask questions or choose a Studio output, then review the generated answer or artifact against the included citations and source material.
What is Gemini Notebook?
Gemini Notebook is Google's AI research and writing assistant. Formerly known as NotebookLM, it provides a notebook workspace in which users can collect source material, query it and generate structured outputs. Google announced the name change to Gemini Notebook on July 16, 2026, while retaining the product's standalone notebook experience.
The product's defining feature is source grounding. Instead of treating a prompt as an isolated request, Gemini Notebook uses the sources attached to a notebook as the working context. Answers include inline citations that point back to supporting passages, allowing users to check whether a summary or conclusion is actually supported by the supplied material.
How people use it
A typical workflow starts with a notebook for a project, course, research topic or internal briefing. Users add files or connected sources, select the material they want to use, and ask questions in chat. They can then save useful responses as notes, write their own notes, convert notes into sources and export selected work to Google Docs.
This makes Gemini Notebook particularly useful when the challenge is understanding and organizing information rather than generating text from scratch. For example, a student can add course readings and create a study guide; a researcher can compare several reports; and a business user can turn a collection of documents into a briefing or frequently asked questions.
Core research and document capabilities
Source-grounded questions and synthesis
Gemini Notebook can analyze multiple sources together and answer questions about them with citations. Users can ask for summaries, comparisons, explanations or specific evidence across documents instead of reading each source independently. The quality of the result still depends on the quality, completeness and interpretation of the source material.
Broad source support
Supported inputs include PDFs, Google Docs, Google Slides, Google Sheets, Word and PowerPoint files, CSV and Markdown files, webpages, YouTube URLs, audio, images, ePub files, copied text and Gemini chats. Google Drive and other Google services make it possible to bring existing material into a notebook, while web and Drive discovery can help users find sources for a project.
Research outputs
Beyond chat answers, the product can generate study guides, briefing documents, reports, FAQs, mind maps, infographics, slide decks, audio overviews and video overviews. These outputs are best understood as ways to reorganize or explain the notebook's material. They are not substitutes for checking the original sources, especially when the result will be used for academic, professional or consequential decisions.
Data analysis
Where available, Gemini Notebook can use a secure cloud computer and code execution for source-grounded calculations, charts and structured data analysis. This is relevant for spreadsheets and datasets, but it does not turn the product into a general software development environment or an automation platform.
What distinguishes it from other AI tools?
Unlike a general-purpose assistant such as Claude, Gemini Notebook is organized around persistent notebooks and a controlled collection of sources. Its main value is not unrestricted conversation, but the ability to ask questions about selected material and inspect citations. It also differs from a conventional AI search tool: source discovery is available, but the central workflow is still working with a user's notebook and imported materials.
The product sits between document-analysis software, research assistants and AI writing tools. It can generate polished artifacts, but those artifacts are derived from the notebook's sources. That source-first design makes it a better fit for literature reviews, course material, reports and internal knowledge collections than for open-ended brainstorming or live workflow automation.
Access, pricing and limits
A standard free version is available. Google's paid AI subscriptions provide progressively higher limits and additional capabilities. The lowest advertised paid option that includes expanded Gemini Notebook access is Google AI Plus at $9.99 per month in the United States. Google AI Pro is advertised at $19.99 per month and includes higher notebook limits, 5 TB of storage and other Google AI benefits. Pricing and availability vary by country, account type and plan changes.
On the standard tier, documented limits include up to 100 notebooks per user, 50 sources per notebook, 50 daily questions and three daily audio generations. Google AI Pro documentation lists higher limits of up to 500 notebooks, 300 sources per notebook, 500 daily questions and 20 daily audio generations. Actual limits can vary by feature, region, rollout and account type. Individual sources may contain up to 500,000 words or 200 MB for uploaded files.
Gemini Notebook is available as a browser product and through official Android and iOS apps. The desktop browser generally offers the broadest feature coverage; mobile apps do not provide every Studio or notebook-management function. Work and school accounts may have additional administrative and security controls, and enterprise availability is supported, although the exact features depend on the relevant Google account and plan.
Privacy and data considerations
Google states that personal data in Gemini Notebook is not used to train its AI models and is not used for ads personalization in the documented notebook experience. However, users who submit feedback on personal accounts may have associated queries, uploaded files and responses reviewed by human reviewers for investigation, abuse handling or improvement. Google describes stronger restrictions for qualifying Google Workspace and Workspace for Education accounts.
Notebooks remain private unless the user shares them, and users can share with selected people or make them public. Users should still consider the sensitivity and ownership of uploaded material. Retention and synchronization behavior can differ between personal, work, school and AI Mode contexts, and imported Google Drive material may continue synchronizing while it remains accessible. The product should not be treated as a blanket guarantee that every source will be deleted on one universal schedule.
Strengths and limitations
- Strong source traceability: Inline citations make it easier to check answers against supporting passages.
- Useful research workflow: Persistent notebooks combine source collection, questions, notes and generated study or briefing materials.
- Broad input coverage: The product handles documents, webpages, spreadsheets, audio, video and images in one workspace.
- Flexible outputs: Users can create text reports, study materials, presentations, visual artifacts and audio or video overviews.
- Important limits: Free and paid plans impose usage and source limits, and limits may change by region and feature.
- Uneven platform coverage: Mobile apps do not yet match the full browser experience.
- No public automation layer: Gemini Notebook does not provide a public API, webhooks or scheduled workflow automation for general use.
- Source dependence: Citations improve verification but do not guarantee that the sources are complete, accurate or interpreted correctly.
Who should use Gemini Notebook?
Gemini Notebook is a good fit for students, educators, researchers, writers, analysts and knowledge workers who regularly work from a defined set of documents. It is especially practical for summarizing papers, comparing reports, preparing briefings, creating study materials and organizing internal knowledge.
It is less suitable for someone seeking a general-purpose chatbot, unrestricted real-time web research, browser automation, scheduled business workflows or a public developer API. It also should not replace careful source review when accuracy, attribution or confidentiality is important.
