Google has added a new feature to NotebookLM that turns messy research into something you can actually use. The company has introduced Data Tables, a tool that pulls information from multiple sources and automatically organizes it into clean, structured tables that can be exported directly to Google Sheets for further editing, sharing, or use in Google Docs.
NotebookLM has always been about helping users make sense of scattered notes, PDFs, and documents using AI. Data Tables builds on this idea by handling one of the most time-consuming parts of research, which is manual organization.
Instead of copying and pasting information into spreadsheets, users can now ask NotebookLM, in plain language, to generate a table with specific rows and columns based on their sources. The result is a structured overview that can be exported and edited further in Sheets.
Using NotebookLM to organize scattered information
The feature lives in the Studio panel on the right side of NotebookLM. Like other tools in the app, users can choose a preferred language and describe what they want in natural language before generating a table.
Once created, users can view the prompt, export the table to Google Sheets, or delete it. However, the tables themselves are not interactive inside NotebookLM, meaning edits have to be made after exporting or by generating a new table.
Google says Data Tables can be used in a wide range of real-world scenarios. You could turn meeting transcripts into a table of action items sorted by owner and priority, build competitor comparison charts that break down pricing and strategy, or aggregate results from multiple research papers into a single view.
Students can create study tables of historical events organized by date, key figures, and outcomes, while travelers can compare destinations, best times to visit, and estimated costs in one place. Data Tables are available now for Google AI Pro and Ultra subscribers, with a broader rollout planned for all users over the coming weeks.
The update follows Google’s recent addition of Deep Research mode and other memory and research upgrades to NotebookLM. Together, these changes highlight Google’s effort to turn the tool into a more powerful research and synthesis workspace, rather than just an AI note-taking assistant.