Google Supercharges NotebookLM with Deep Research Tool and Expanded File Support

Reviewed byNidhi Govil

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Google has significantly enhanced its NotebookLM AI research assistant with a new Deep Research feature that can browse hundreds of websites to create structured reports, plus expanded support for Google Sheets, Word documents, PDFs, and images.

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Google Enhances NotebookLM with Automated Research Capabilities

Google has rolled out significant updates to its AI-powered research assistant NotebookLM, introducing a sophisticated Deep Research tool and expanding file type compatibility to streamline the research process for students, professionals, and lifelong learners

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. The enhancements position NotebookLM as a more comprehensive research platform that integrates seamlessly with users' existing workflows and document ecosystems.

Deep Research: Your Dedicated AI Researcher

The centerpiece of this update is the new Deep Research feature, which Google describes as a "dedicated researcher" capable of browsing hundreds of websites to create organized, insightful reports

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. Unlike simple search functions, Deep Research creates research plans based on user queries and follows systematic approaches to gather information from across the web

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To use Deep Research, users simply open NotebookLM, navigate to the source panel, select Deep Research, enter their prompt, and click the arrow key

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. The AI then generates comprehensive reports complete with sources that can be directly imported into notebooks. Users can also leverage NotebookLM's existing Audio and Video overview features to better understand complex topics within their research

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Google has also retained a "Fast Research" option, previously known as "Discover sources," for users who need quick searches rather than comprehensive analysis

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Expanded File Type Support Transforms Workflow Integration

Perhaps equally significant is NotebookLM's expanded file type support, which now includes Google Sheets, Microsoft Word documents (.docx), PDFs from Google Drive, Drive files as URLs, and images

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. This expansion addresses a critical limitation that previously required users to manually convert or copy content from their existing project files.

The new compatibility allows users to work with spreadsheets, drafts, and uploads directly within NotebookLM, eliminating the need to rebuild research projects from scratch

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. Students can now load lecture PDFs, data in Sheets, and Word drafts simultaneously, then ask NotebookLM to explain key concepts or build targeted summaries. Photos of handwritten notes or printed materials become searchable, bringing previously buried information into the digital research workflow.

Building Comprehensive Knowledge Bases

The combination of Deep Research and expanded file support enables users to create evolving knowledge bases that survive from initial concept to final output

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. When Deep Research generates reports and sources, these materials integrate directly into notebooks where background reading, side notes, and reference documents remain searchable together.

This approach represents a shift toward making AI a central component of research workflows rather than a supplementary tool. Users can start projects by importing existing materials, then direct Deep Research to identify and fill knowledge gaps with focused reading queues rather than random link collections

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Rollout Timeline and Availability

Google plans to make these features available to all users over the next week, though image file support will arrive later in the coming weeks without a specific timeline

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. The updates continue NotebookLM's evolution since its late 2023 launch, building on previous enhancements like Video Overviews and Audio Overviews that convert documents into visual presentations and AI-generated podcasts respectively

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