Google renamed NotebookLM to Gemini Notebook on July 16, 2026, and bundled the rebrand with the most consequential upgrade in the product's history: a secure cloud computer that lets every notebook write and execute Python code natively. The tool that 30 million people and 600,000 organizations used to summarize PDFs and generate audio podcasts can now run multi-step research projects, analyze spreadsheets, generate charts, and produce slide decks — all from a single instruction. The rename is cosmetic; the code execution is the real upgrade, and it's rolling out to paid tiers first.
- Google renamed NotebookLM to Gemini Notebook on July 16, 2026. Same product, new name, new logo.
- The big change: a secure cloud computer that writes and runs Python code inside each notebook (Ultra and eligible Workspace first; Pro coming soon).
- 30 million users, 600,000 organizations, four pricing tiers (Free, Plus at $4.99/mo, Pro at $19.99/mo, Ultra from $99.99/mo).
- New agentic mode ("notebook agent") handles multi-step projects — research, compare, build — not just one-question-at-a-time Q&A.
- Output formats expanded: audio, video, slide decks, charts, flashcards, quizzes, data tables, and infographic-style reports.
- Pricing/limits change often — last checked Aug 6, 2026.
What is Gemini Notebook (formerly NotebookLM)?
Gemini Notebook is Google's AI-powered, source-grounded research and study tool. Unlike a standard chatbot that pulls answers from the open internet, Gemini Notebook answers only from the documents you upload — PDFs, Google Docs, websites, YouTube videos, spreadsheets, and images — with clickable citations pointing to the exact source passage behind each claim. On July 16, 2026, Google renamed NotebookLM to Gemini Notebook. The product stayed standalone at notebooklm.google, and all existing notebooks, links, and features carried over without migration (Google Blog).
The product launched at Google I/O 2023 under the working name Project Tailwind, became NotebookLM later that year, and graduated to Gemini Notebook three years later — same tool throughout, just growing up.
What actually changed with the rename?
The rename is low-disruption: same URL, same notebooks, same features. What changed is the addition of a secure cloud computer built into every notebook, plus deeper integration with the broader Google ecosystem (Google Workspace Updates Blog).
| What changed | Details | Who gets it |
|---|---|---|
| Name and logo | NotebookLM → Gemini Notebook; new branding across web and mobile | All users (rolling out) |
| Secure cloud computer | Each notebook can write and execute Python code natively | Ultra and qualifying Workspace now; Pro soon |
| Cross-app sync | Notebooks sync between the standalone site and the Gemini app | All users |
| Search AI Mode integration | Notebooks will appear inside Google Search's AI Mode | Announced, timing TBD |
| Existing content | No migration needed; shared links redirect automatically | All users |
Source: Google Blog, July 16, 2026
How does the secure cloud computer work?
The secure cloud computer lets Gemini Notebook generate and execute Python code inside a sandboxed environment attached to each notebook. Instead of just describing what the data says, the notebook can now do the math, run the calculation, and show you the result — grounded in your uploaded sources. This moves the product from "document Q&A tool" to "research agent that can compute."
Google has not published the full list of supported languages or processing limits, and free-tier access to code execution is unconfirmed (IntelligentHQ, July 23, 2026).
Availability (as of August 2026):
- Available now: Google AI Ultra subscribers and Workspace business customers with AI Ultra Access or AI Expanded Access
- Rolling out: All Pro users on the web (coming weeks)
- Free tier: Timeline unconfirmed
Source: Google Blog
What is the "notebook agent" and how does it differ from regular chat?
Before the update, you asked Gemini Notebook one question at a time: "Summarize this doc." "Explain this section." One prompt, one answer. The new agentic mode — which Google informally calls the notebook agent — lets you hand it a whole project: "Research this. Compare these options. Build me a plan." It then searches, reads, compares, organizes, and hands you a finished result, running code along the way when needed.
This is built on Google's latest Gemini model (Gemini 3.5 as of June 2026) and their agent infrastructure, which supports multi-step execution with intermediate code runs (Glasp, Aug 1, 2026).
The shift in one line: one-question-at-a-time Q&A → multi-step project completion.
How to use Gemini Notebook's new capabilities (step-by-step)
Step 1: Create a notebook and add sources
Go to notebooklm.google and create a new notebook. Upload sources — PDFs, Google Docs, web URLs, YouTube videos, or connect Google Drive for auto-syncing. The free tier supports up to 50 sources per notebook; Pro raises this to 300 (Google support docs).
Step 2: Use Deep Research to find sources automatically
Instead of uploading files manually, click Add → Discover sources in the Sources panel. Type a research question and Gemini Notebook queries the web or your Google Drive, returning a multi-page report with cited sources you can import with one click. Free accounts get 10 Deep Research runs per month; Pro gets 20 per day (AI Weekly, July 19, 2026).
Step 3: Ask questions with grounded citations
Type a question. Every answer includes numbered citations linking to the exact passage in your uploaded sources. You can click through to verify anything. This source-grounding is what makes Gemini Notebook more trustworthy than a standard chatbot for research, legal review, or study.
Step 4: Run code and analyze data (paid tiers)
If you're on Ultra or qualifying Workspace, hand the notebook a spreadsheet, a sales report, or a set of numbers. Type a question like "Which platform is bringing in the most new members and what should we post more of?" The notebook writes and runs Python code to find patterns, do the math, and explain the results in plain language — grounded in your actual data.
Step 5: Generate multi-format outputs from the Studio panel
Open the Studio panel to produce:
- Audio Overviews — podcast-style conversations (4 formats: Deep Dive, Brief, Critique, Debate) in 80+ languages
- Video Overviews — narrated, animated deep-dive videos (standard, short, and cinematic on Ultra)
- Slide decks — prompt-editable, PPTX export
- Study guides, flashcards, quizzes — with progress tracking (missed cards return)
- Data Tables — qualitative sources converted to structured, Sheets-exportable tables
- Infographics and charts — built from your source data or uploaded numbers
Free tier: 3 Audio + 3 Video per day. Pro: 20 each. Ultra: 100–200 each (Fello AI, Glasp).
Step 6: Export and share
Notebooks can be shared via links (which redirect through the rename). Export slide decks to PPTX, data tables to Google Sheets, and audio/video overviews as downloadable files. The Gemini app integration means notebooks sync across web and mobile.
How much does Gemini Notebook cost?
Gemini Notebook cannot be purchased standalone — it's bundled into Google's AI subscription plans. The free tier is genuinely usable with no credit card or time limit.
| Tier | Price (USD/month) | Notebooks | Sources/notebook | Daily chats | Audio/day | Video/day | Deep Research |
|---|---|---|---|---|---|---|---|
| Standard (Free) | $0 | 100 | 50 | 50 | 3 | 3 | 10/month |
| Plus (Google AI Plus) | $4.99 | 200 | 100 | 200 | 6 | 6 | 3/day |
| Pro (Google AI Pro) | $19.99 | 500 | 300 | 500 | 20 | 20 | 20/day |
| Ultra 20TB (Google AI Ultra) | $99.99 | 500 | 500 | 2,500 | 100 | 100 | 75/day |
| Ultra 30TB (Google AI Ultra) | $199.99 | 500 | 600 | 5,000 | 200 | 200 | 200/day |
Sources: Google support docs, Fello AI, Glasp. Note: Google cut Plus from $7.99 to $4.99 on June 8, 2026. Prices are regional and may change.
Key distinction: Higher tiers raise daily limits and, at Pro and above, improve the underlying model. But code execution and Cinematic Video Overviews start on Ultra and Pro — they are not available on the free tier.
What can you actually do with Gemini Notebook for work?
Research and competitor analysis
Hand the notebook a research project, not just a question. Type: "Research what small business owners are struggling with most when it comes to AI automation. Then build me three content ideas to answer those struggles." The notebook goes out, finds real questions people are asking, and comes back with content ideas built around actual gaps — not guesses. For a deeper workflow on using Gemini Notebook specifically for SEO and content, see our guide on Gemini Notebook for SEO.
Data analysis and reporting
Drop in a spreadsheet with your business numbers. Ask "Which channel is driving the most sign-ups and what should we post more of?" The notebook finds the pattern, does the math, and explains it in plain words. Then type "turn this into a simple chart" and it generates a clean visual from the numbers — no manual graph-building.
Document processing and admin
Snap a photo of a receipt, upload it, and Gemini Notebook extracts the date, vendor, total, and category, then builds it into a structured spreadsheet. For small business owners who hate admin work, this alone can save hours per week.
Study and learning
Upload course notes, research papers, or a training transcript. The notebook generates flashcards, quizzes, and study guides from your own sources. Missed flashcards return for spaced practice. This is genuinely useful for anyone teaching themselves a new skill — and if you're building a self-education system with AI, our 5-step framework for self-education with AI pairs well with it.
Multi-format content production
From one notebook, generate an audio conversation, a slide deck, a chart, a written report, and a table — all grounded in the same sources. If you're building an AI content pipeline, this multi-format output is where Gemini Notebook intersects with the agentic AI capabilities we cover in our Google Gemini 2026 agentic features guide. For a decision on whether to upgrade to Google AI Pro for these features, see our Gemini Spark on AI Pro decision guide.
Is Gemini Notebook worth upgrading for?
For most users, the free Standard tier is enough to get real value — 100 notebooks, 50 sources each, 50 daily chats, and full access to Audio/Video Overviews and Deep Research (at 10 runs/month). If you're doing multi-source research synthesis across 40+ documents, or you need the code execution and chart-building capabilities, Pro at $19.99/month is the sweet spot: 300 sources per notebook, 500 daily chats, 20 Deep Research runs per day, and access to the cloud computer is rolling out to Pro users now.
Ultra ($99.99–$199.99/month) is worth it only if you need Cinematic Video Overviews (Veo 3), the highest usage limits, or the most capable model for the most complex synthesis. Most knowledge workers and small business owners won't need it.
What are the limitations?
- Code execution is not on the free tier. As of August 2026, there's no confirmed timeline for free-tier access.
- Deep Research is excellent for breadth, mediocre for judgment. It surfaces plausible sources but won't tell you which three of fifteen are worth reading closely (Glasp).
- No consumer API. Notebooks are silos — there's no native way to pipe external data streams in continuously. A separate enterprise API (Gemini Notebook Enterprise) exists for organizations.
- You still need to review outputs. The tool can make mistakes with data analysis or source interpretation. You need to know your own business well enough to catch errors.
- Cinematic Videos are English-first and Ultra-only. Non-English cinematic content isn't fully mature yet.
What this means for you
If you're a small business owner, researcher, or builder: the code execution upgrade transforms Gemini Notebook from a "read my PDFs and summarize" tool into a "run a project end-to-end" agent. Start with the free tier to learn the workflow, then upgrade to Pro ($19.99/month) when you need the cloud computer, higher source limits, and more Deep Research runs. The businesses that learn to hand Gemini Notebook real projects — not just one-off questions — will move faster than the ones still doing everything by hand.
FAQ
Q: Is Gemini Notebook the same as NotebookLM?
A: Yes. Google renamed NotebookLM to Gemini Notebook on July 16, 2026. It's the same product with the same notebooks, sources, and features, plus a new logo and native code execution that arrived in the same update. No migration is needed.
Q: Is Gemini Notebook free to use?
A: Yes. The Standard tier is free forever with 100 notebooks, 50 sources per notebook, 50 daily chats, 3 Audio Overviews, and 3 Video Overviews per day. No credit card or trial required. Paid tiers (Plus, Pro, Ultra) raise the limits and add features like code execution and Cinematic Video Overviews.
Q: What can the secure cloud computer do?
A: It lets Gemini Notebook write and execute Python code natively inside a sandboxed environment. This enables data analysis, calculations, pattern-finding, and chart generation grounded in your uploaded sources — instead of just describing what the data says.
Q: Which plans get code execution?
A: As of August 2026, code execution is available for Google AI Ultra subscribers and Workspace business customers with AI Ultra Access or AI Expanded Access. It's rolling out to all Pro users on the web. Free-tier access timeline is unconfirmed.
Q: Can Gemini Notebook run multi-step research projects?
A: Yes. The agentic mode (built on Gemini 3.5 and Google's agent infrastructure) handles multi-step projects: you give it a goal like "research this, compare these options, build me a plan" and it searches, reads, organizes, and returns a finished result — running code along the way when needed.
Q: What file types does Gemini Notebook support?
A: PDFs, Google Docs, Google Sheets, Word documents, web URLs, YouTube videos, images, EPUB files, and Google Drive-synced files. Each source can hold up to 500,000 words, and the free tier supports up to 50 sources per notebook.
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