How the new structuring feature works

NotebookLM uses multimodal AI capabilities to deeply analyze uploaded files. The user simply requests a comparison or data summary, and the system automatically extracts the necessary metrics. This works not only with text notes but also with complex PDF files, where information may be scattered across multiple pages.

• Automatic recognition of key parameters in text.

• Form clear columns and rows without manual input.

• Possibility of editing the obtained results in real time.

Advantages for professional use

This new tool is becoming indispensable for analysts, researchers, and students. For example, if you upload several gadget reviews, the AI ​​can create a single pricing table, automatically converting the prices to dollars for easy comparison. While the service’s basic plan offers access to Gemini for $20 per month as part of a subscription, NotebookLM remains one of the most affordable ways to test Google’s premium AI capabilities.

Privacy and security of your data

Unlike public chatbots, NotebookLM operates in a closed loop. Your personal documents or corporate reports uploaded to create spreadsheets are not used to train global AI models. This is important for business users working with sensitive information and wanting to maintain full control over their intellectual assets.

Integration with the Google Workspace ecosystem

Created tables don’t remain locked within the service. Google has implemented a convenient export function that allows you to transfer the resulting structured data to Google Sheets with one click. This opens the door to further visualization, chart creation, and professional reporting without having to copy and paste each row manually.

The Future of Personal AI Assistants

NotebookLM demonstrates how AI is evolving from a simple text generator to a sophisticated analytical tool. The Gemini 1.5 Pro model can process up to 2 million tokens, meaning it can load entire libraries of books or thousands of pages of documentation to instantly generate spreadsheets. This transforms the approach to learning and information processing, focusing on insights rather than mechanical data collection.