How To Use NotebookLM To Summarise Documents Faster

Summarise this blog

Key Takeaways

  • NotebookLM, renamed Gemini Notebook in July 2026, is Google’s AI tool for reading, summarising, analysing and answering questions from documents you choose.
  • It suits work that involves a lot of material at once: research, marketing and content production.
  • Its defining feature is that answers cite the sources you gave it, which makes them checkable.
  • Audio Overview turns a stack of documents into a spoken briefing, and Thai documents are supported.
  • There is a no-cost tier for everyday use, with Plus, Pro and Ultra tiers raising the quotas.
  • Used well it cuts the time spent finding and understanding information, and does it systematically.

A marketer using the no-cost tier of NotebookLM

Analyses, competitor data, research reports and marketing documents keep arriving. The challenge for a marketer or a content producer is no longer a shortage of information. It is digesting and understanding it in time. Generative AI tools such as ChatGPT, and AI built for processing instructions, will answer questions and analyse data quickly, but they can still hallucinate, producing information that does not match the facts, so the results need checking against the original source before they go anywhere.

Google built NotebookLM, a tool for research and information management, to answer that problem. It works as a sources-grounded AI, treating the material you give it as its primary context, so it summarises, analyses and answers questions while citing where the information came from, which makes it credible and checkable. Google renamed it Gemini Notebook on 16 July 2026, though most people still know it, and search for it as NotebookLM, which is the name this guide uses.

What Is NotebookLM, And How Does It Change The Way You Work

NotebookLM is a research and information management tool developed by Google. It acts as an assistant that reads, summarises and answers questions from the sources you upload, which brings order to a large set of documents and lets you find the point you need precisely. It runs on Google’s Gemini models, Gemini 3.5 as of June 2026, a generation on from the Gemini 2.5 Pro it launched with, and it processes the material you have specified as its main input. Where AI search tools concentrate on finding and gathering information from across the web, NotebookLM’s strength is working with information the user has defined.

What Can NotebookLM Do And How Is It Different From ChatGPT

NotebookLM concentrates on reading, summarising, analysing and connecting information from sources the user has set. ChatGPT is a general-purpose chatbot that handles conversation, content creation, data analysis and a wide range of other work.

The important difference is the kind of use and the scope of the information.

NotebookLM suits work that has to stay anchored to one set of documents. ChatGPT suits work that needs flexibility: writing, brainstorming, analysis, or building on information to a brief.

Point of comparison NotebookLM ChatGPT
Scope of sources Concentrates on the sources the user adds Works with a wide range of information and context
Working with documents Strong at reading, summarising, analysing and connecting information across sources Summarises, analyses and builds on information
Citing sources Cites back to the sources so the origin can be checked Citation depends on the feature and the way it is used
Output formats Features built for understanding material, such as Audio Overview Text generation, data analysis, brainstorming and a broad range of tasks
Suits Research, reading documents, analysing information across several sources General work, content creation, data analysis and working alongside AI

Given those differences, when you have a large volume of documents to read and need to know which source an answer came from, NotebookLM suits the job better. ChatGPT suits work that takes information and does something creative or applied with it.

The Sources-Grounded Advantage, Answers Drawn Only From Your Own Documents

One of NotebookLM’s strengths is that it treats the sources as its central context. When a user adds files, several consumer behaviour reports for instance, the system can use them to summarise, compare and answer questions from what is actually there.

Say you want to find the pain points that recur across several customer interview files. Add them to one notebook and have the system gather the related points, which saves opening and comparing each file by hand.

The system also shows citations back to the sources, so the user can check the original more easily. A citation does not mean the answer is right every time, though. Check the figures, conditions and conclusions that matter against the original document before using them.

What Can NotebookLM Do For Marketers And Content Producers

NotebookLM’s strength is handling a large volume of information and turning documents full of detail into something easier to understand, particularly work that involves reading reports, finding points, or comparing information from several sources.

Audio Overview Turns A Dense Document Into A Podcast You Can Follow

Audio Overview takes information from the sources and arranges it into a spoken conversation, with formats to choose by purpose: a deep discussion, a short summary, a critique, or a debate from several angles.

A marketer can run it on a research report, competitor data or a project document, and review the substance while travelling or doing something else, without reading every page first time through.

Audio Overview is AI-generated, so it can carry inaccuracies or errors in the audio. Treat it as a first pass at understanding the material and check the important points against the sources.

Applying It To Marketing Work, Summarising Client Reports And Organising Meeting Notes

Beyond summarising documents, NotebookLM fits several parts of a marketer’s or a content producer’s routine. Four examples.

1. Analysing Customer Feedback And Research

Gather customer interviews, survey responses or research data into the sources, then have the system summarise recurring views, analyse pain points and find what customers care about. It saves reading the material one file at a time.

2. Summarising And Organising Meeting Notes

Bring meeting minutes or discussion summaries into the system to draw out the key points, separate the topics and summarise the follow-up actions, so the team can plan from them more easily.

3. Analysing YouTube Content

Where a YouTube video is relevant to the subject you are researching, add it as a source to summarise it and find the points you need. That suits studying a competitor’s content, analysing an interview, or pulling insight from a long video.

4. Preparing A Creative Brief

Bring the marketing plan, the brand’s communication direction and the product detail into the system, then use them to organise the points and draft the structure of a creative brief for the content, design or production team to develop.

A marketer using NotebookLM, an AI tool that supports Thai

Does NotebookLM Support Thai And Can It Summarise Thai Documents

NotebookLM supports Thai: Thai material as sources, questions asked in Thai, and results generated in Thai. Google lists Thai among the languages Gemini Notebook currently supports.

So Thai-language reports, research, meeting documents or internal material can go into the system to be summarised, analysed and searched for key points, without translating them into English first.

How Well It Reads, Summarises And Answers Questions From Thai Files

NotebookLM’s Thai support runs from reading and summarising through to asking questions that find specific points in the sources you have added.

  • Reading and summarising Thai documents. Use Thai reports, meeting papers or research as sources and have the system summarise the substance and organise the content so it reads more easily. Where a file is structured awkwardly or the text is unclear, check the result against the original.
  • Giving instructions and asking questions in Thai. Instructions can be in Thai, such as “summarise the key points from this document” or “compare the advantages and disadvantages of product A and product B from the material here”, and the system processes them against the sources selected.
  • Searching and grouping information. With a large set of documents, use the system to find the relevant points, summarise, or compare content across several sources, which saves opening the documents one by one.
  • Taking the information further. Thai material can be the basis for analysis, a content outline, or preparation for marketing work, with the important detail checked against the source document before it is used.

For Thai processing, the quality of the sources is the deciding factor. A file with clear text and an orderly structure gives an analysis that tracks the source more closely. Even so, do not treat an AI result as correct by default, particularly figures, conditions and any detail that affects a decision.

Is NotebookLM Free And What Does The Pro Version Add

NotebookLM can be used at no cost on the Standard tier, with quota limits on the number of notebooks, sources, chats and Audio Overviews per day. For anyone who needs more, Google offers paid tiers that raise the limits and add capability.

Google’s published detail for the Standard tier is up to 100 notebooks, 50 sources per notebook, 50 chats a day and 3 Audio Overviews a day. Each source is capped at 500,000 words or 200 MB. These limits can change.

Does NotebookLM Have A Pro Version

Google offers higher tiers through its Google AI plans, and each step up raises the quotas: the number of notebooks and sources, and the daily allowances for Chat, Audio Overview, Reports and other features.

For example, Google AI Plus, at $4.99 a month, gives 200 notebooks, 100 sources per notebook and 200 chats a day. Google AI Pro, at $19.99 a month, gives 500 notebooks, 300 sources per notebook, 500 chats a day and 20 Audio Overviews a day. Google AI Ultra, from $99.99 a month, keeps 500 notebooks and raises sources to 500 or 600 per notebook with 2,500 to 5,000 chats a day, according to Google’s current information.

So for everyday use, reading documents, summarising, or questioning a set of sources, the no-cost tier may be enough. For handling a large volume of material or using these features every day, a tier with higher quotas will serve better.

Note: quotas, features and the detail of each plan change with Google’s policy. Check the current information before subscribing.

How To Use NotebookLM, Getting Started

To begin, this NotebookLM tutorial follows the main steps from creating a notebook and adding sources through to having the system analyse the material.

Step 1, Sign In And Create A New Notebook

  1. Open a browser and go to notebooklm.google.com (which now redirects to Gemini Notebook).
  2. Sign in with a Google account.
  3. On the dashboard, click “New Notebook” or the + icon to create a new workspace.

Step 2, Add Sources

Once the notebook exists, the system offers ways to add sources, which can come from several places.

  • Google Docs and Google Slides. Choose files from Google Drive to use as sources.
  • PDF, TXT and Markdown. Upload document files from your computer.
  • Web URL. Paste a link to a website, an article or an online report you want analysed.
  • YouTube URL. Paste a YouTube link so the system can process the video’s content.
  • Copied text. Copy text and paste it straight into the system.

For an effective analysis, group sources on the same subject in the same notebook. Name one “Market Research 2026”, for instance, and collect 5 to 10 market analysis reports in it. That makes it easy to compare information across sources and find the relevant points.

Step 3, Analyse, Instruct And Generate

With sources added, the working screen divides into three main areas, each with its own job.

  1. Left panel (Sources). Lists the documents and sources added. Select all of them, or only the files you want the system to draw on for an answer.
  2. Centre (Chat and Notebook Guide). Where you type a question or an instruction against the material added, with ready-made commands such as Study Guide, FAQ, Briefing Doc and Timeline, plus the Generate option for producing an Audio Overview.
  3. Right panel (Notes). For saving an answer or an important piece of information as a note, to come back to later or take into Google Docs.

With the basics understood, NotebookLM brings order to a large set of documents: choose the sources you want, analyse a specific point, and take the results into research, planning or content production as needed.

Who Is NotebookLM For, And What Work Does It Suit

NotebookLM suits anyone working with a large volume of documents who needs to find the important points without reading every part themselves. Several groups fit.

Digital Marketers And Planners

Summarising consumer behaviour analyses, gathering competitor data, analysing campaign results, and extracting the key points for an executive presentation.

Processing large numbers of academic papers and market research reports to compare information, find the important points, or gather the relevant statistics, without reading every page in detail.

Content Creators And Writers

Taking interviews, video scripts or material from various documents and summarising them into an article outline, social post ideas, or a direction for an infographic.

Students And Teachers

Bringing class notes, textbooks or teaching slides into the system to summarise content, group the key points, build comparison tables and produce revision material before an exam.

Brand Owners And Founders

Searching and summarising commercial documents such as terms, procedures or contracts, to see the important points and the things worth weighing more quickly.

Turn AI Output Into A Marketing Approach That Delivers, With Primal

NotebookLM makes a large volume of information easier for a marketer to handle, from summarising reports and analysing customer data to gathering insight from several sources. Turning that information into a commercial result still takes planning and choosing the channels that fit each brand’s goal.

Let Primal turn the information and insight you have into a marketing plan that works in practice, through digital marketing services covering:

  • Google Ads service. Planning advertising that reaches the people already searching for a product or service, and lifting the chance of a click and a conversion from search intent.
  • Facebook Ads service. Analysing the audience and designing campaigns to fit the customer journey, to lift reach, engagement and revenue.
  • SEO service. Taking information and insight into content planning and an SEO approach that grows organic visits and builds visibility in search over the long term.

To turn AI output into an approach that answers the brand’s goals, get in touch with Primal to plan online marketing around what the brand is trying to achieve.

Frequently Asked Questions About NotebookLM (FAQs)

Question Answer
Does NotebookLM support Thai, and can it summarise Thai documents? Yes. Thai documents can be used as sources for summarising, analysing and answering questions, and NotebookLM supports Thai both in the conversation and in the language of the results it generates.
Is NotebookLM free, and how does the Pro version differ? There is a no-cost tier, and upgrade options for anyone who needs higher quotas or more capability. The features and limits of each plan change with Google’s updates, so check the current information before choosing.
Can NotebookLM analyse information from a website or YouTube? Yes. Websites and YouTube videos can be added as sources to support summaries and answers, which suits gathering information from several places into one notebook.
What kinds of content can NotebookLM produce? It turns source material into several output formats, including a Study Guide, a Briefing, a Mind Map and an Audio Overview, plus other formats as Google makes them available, so the user can take the information into whatever form the work needs.
Is data uploaded to NotebookLM used to train the AI? For consumer accounts, Google states that data is not used to train NotebookLM unless the user submits feedback, in which case the interaction may be reviewed to improve the service. Eligible Google Workspace and Workspace for Education accounts are covered by different data handling terms.