Google NotebookLM introduces Data Tables for synthesizing research into exportable charts
Google has added a new Data Tables feature to NotebookLM that helps users collect and synthesize information across multiple sources into structured tables. Those tables can be exported directly to Google Sheets, making it easier to turn scattered notes and research into shareable data.
Data Tables are available to Pro and Ultra NotebookLM users today, with a broader rollout planned for all users over the coming weeks. The tool is pitched for tasks like organizing notes, building price comparisons and aggregating findings from multiple projects using natural‑language prompts to define the desired table structure.
How Data Tables work
- Users ask NotebookLM (in natural language) to extract or summarise data across documents and sources.
- NotebookLM assembles the requested fields into a table that can be reviewed and edited in the interface.
- Tables can be exported to Google Sheets for further analysis or sharing.
Context
Google launched a Deep Research mode for NotebookLM last month, aimed at improving how the system handles complex queries — Data Tables extend that capability by producing machine‑readable outputs researchers and teams can act on. The feature underscores a trend of AI tools bridging unstructured research and structured workflows.
Why it matters
Data Tables could significantly speed up workflows for students, journalists, analysts and anyone who gathers information from many documents. Instead of manual copying and reformatting, NotebookLM can automate parts of the synthesis and export process, saving time and reducing errors.
For official details, watch Google’s NotebookLM updates and product pages as the feature rolls out. For the original coverage, see the Engadget report: Engadget — NotebookLM adds Data Tables.
Discussion: Would Data Tables change how you do research — or do you prefer manually curated spreadsheets? What use case would you try first?