Valuable information rarely arrives neatly organized. You usually have notes, transcripts and papers scattered around, and the most tedious part is turning all that into a clear sheet where you can actually work.
What are Data Tables in NotebookLM
Data Tables is a new feature in NotebookLM that synthesizes your sources into structured tables ready to export to Google Sheets. It's not just copy and paste: the system groups, normalizes and presents rows and columns that make sense, built for real workflows.
Data Tables turns messy content into clean tables you can use right away.
Technically, this means NotebookLM extracts relevant entities and attributes from long texts (for example, task owners, dates, metrics) and organizes them into a tabular format. Then you can export that result to continue working in Sheets or as a CSV.
How to use it in practice (with technical tips)
Think of it like an assistant that structures your data. How do you get the most out of it?
