NotebookLM goes global with Slides support and better ways to check facts

Case studies from real users

We’ve been amazed at the range of uses people are finding for NotebookLM. Because the product was developed in close partnership with authors, students, and educators, we’ve seen many early adopters integrate it into their research and writing workflows. Best-selling author Walter Isaacson worked with NotebookLM to analyze Marie Curie’s journals for research on his upcoming book. We’ve seen similar enthusiasm from documentary and podcast researchers who need to analyze complex archives to generate scripts or story ideas. But the combination of Gemini 1.5 Pro’s advanced reasoning capabilities and NotebookLM’s ground-source architecture has unlocked many other possible applications:

• In local government, Palm Bay resident Thomas Gaume created a hyperlocal newsletter, aggregating city ordinances, land use data, zoning codes and council meeting minutes. NotebookLM empowered it to be “a one-person editor and publisher.”
• NotebookLM’s ability to summarize and fit interview transcripts is helping users identify patterns and themes in raw transcripts, saving hours of manual analysis. For example, consultant Victor Adefuye uses NotebookLM to analyze sales call transcripts for targeted training and coaching.
• Nonprofits have deployed NotebookLM to help them identify needs in underserved communities and organize information for grant proposals.

We’ve also spotted some unexpected and playful use cases with the help of our 14,000-member Discord community, including novelists and ghostwriters managing complex stories using NotebookLM and our favorites: role-playing game enthusiasts consulting descriptions of detailed fantasy worlds for games like Dungeons and Dragons.

Starting

If you’re new to NotebookLM, getting started is easy: when you first log into NotebookLM, you’ll create a notebook and upload documents for a specific project or course. At that point you can read, take notes, ask questions, organize your ideas, or ask NotebookLM to create automatic overviews of all your resources—for example, a study guide or a table of contents. And with NotebookLM, the resources you upload are not used to train the model.

Whether used to build fictional worlds, write best-selling biographies, or help salespeople find new clients, NotebookLM has given American users powerful tools to make connections and generate insights from large collections of documents. . We can’t wait to see what the rest of the world does with it.