How to Turn Messy Documents into Clean Data Tables with Google NotebookLM
Google NotebookLM now offers a powerful way to instantly organize scattered information from multiple documents into structured, easy-to-read data tables. This feature transforms the tedious task of manual comparison into a one-click operation, allowing you to export your findings directly to Google Sheets.
By Rodger Mansfield, Technology Editor
January 5, 2026
Have you ever stared at five different PDF contracts, trying to manually compare the cancellation clauses in each one?
Or perhaps you have a dozen resumes and need to quickly see which candidates have a master's degree and Python experience.
Traditionally, this meant opening every file, scrolling endlessly, and copy-pasting data into a spreadsheet.
It is a slow, error-prone nightmare.
Here's a Cool Tip: Use the Google NotebookLM's New Data Tables Feature.
Google NotebookLM has solved this specific headache with a new Data Tables feature that lets the AI do the sorting and structuring for you.
The Data Table feature in Google NotebookLM is designed to synthesize information across multiple sources.
Instead of just summarizing a single document, the AI looks for patterns across all the files you have uploaded.
It identifies common variables, such as dates, names, prices, or technical specifications, and organizes them into a neat grid.
This is not just a static image.
It effectively turns unstructured text (like PDFs, Google Docs, or copied text) into structured data that you can analyze or present.
What You’ll Gain
- Instant Comparison: View key metrics from up to 50 sources side-by-side without opening individual files.
- Time Savings: Eliminate hours of manual data entry and formatting.
- Exportability: Move your research directly into Google Sheets for further analysis.
- Accuracy: Reduce human error inherent in manual copy-pasting.
Step-by-Step Instructions
This feature is available on the web version of NotebookLM.
Web
- Open NotebookLM, notebooklm.google.com.
- Create a new notebook or open an existing one.
- Ensure your notebook has at least one or more sources.
- Select Data Table from the Studio pane.
- When generated, select and review the data table. Columns represent attributes; rows represent entities or entries.
- Copy and paste your data table or select Export to export to Google Sheets.

fig. 1 - Generate Data Tables in NotebookLM ExamplePros and Cons
Pros
- Massive Efficiency: Summarizes dozens of documents in seconds.
- Source Linking: Every data point links back to the original text for verification.
- Seamless Integration: One-click export to the Google Workspace ecosystem.
Cons
- AI Interpretation: The AI might misinterpret nuances in complex legal or technical text. Always verify.
- Formatting Limits: The table customization within the chat interface is basic compared to Excel or Sheets.
- Source Cap: You are still limited by the total number of sources NotebookLM supports (currently 50).
- Availability: This feature is currently fully rolled out to all users (Personal and Enterprise) as of late 2025.
- Region: Available globally where NotebookLM is supported.
- Cost: Free for personal Google accounts; included in Workspace Enterprise subscriptions with data protection assurances.
Score