NotebookLM AI Assistant Now Supports 80 Languages & Video Summaries

Google has rolled out a series of significant updates to NotebookLM, its AI-powered research assistant, enhancing its capabilities with multimedia support, additional language options, and the ability to process longer content. These improvements transform NotebookLM from a text-focused tool into a comprehensive research assistant capable of handling diverse content types across multiple languages.

Audio and Video Analysis Capabilities

One of the most substantial additions to NotebookLM is its ability to process audio and video content. Users can now upload audio recordings or video files directly to the platform, which then analyzes the content and makes it searchable alongside text documents. This feature proves particularly valuable for researchers, students, and professionals who work with lectures, interviews, or presentations.

The system transcribes the audio content and integrates it with the platform’s existing AI capabilities. This means users can ask questions about their multimedia files, generate summaries, or extract key insights—just as they would with text documents. For instance, a researcher could upload a recorded interview, then ask NotebookLM to identify the main arguments or create a concise summary of specific discussion points.

This multimedia support significantly expands NotebookLM’s utility, allowing users to maintain a single workspace for all their research materials regardless of format. The tool’s ability to connect concepts across different media types creates a more integrated research experience.

Multilingual Support Expands Global Reach

Google has dramatically expanded NotebookLM’s language capabilities, adding support for ten additional languages beyond English. Users can now work with content in French, German, Spanish, Portuguese, Italian, Dutch, Polish, Swedish, Indonesian, and Japanese.

This multilingual functionality extends across all of NotebookLM’s features. The platform can analyze documents in these languages, generate summaries, answer questions, and create notes with the same level of sophistication previously available only for English content. The expansion makes the tool accessible to a much broader global audience and enables research across linguistic boundaries.

For multilingual researchers or those working with international sources, this update eliminates the need to translate materials before analysis. A user could, for example, upload documents in multiple languages to a single notebook and receive coherent insights that bridge language barriers.

Handling Longer Documents for Complex Research

The third major update addresses a common limitation of AI research tools: document length restrictions. NotebookLM now accepts documents up to 200,000 words—approximately equivalent to a 400-page book. This substantial increase allows users to work with longer academic papers, books, reports, and comprehensive research materials.

This enhancement is particularly beneficial for academic researchers, book authors, and professionals dealing with extensive documentation. The system maintains its ability to understand context and connections across these longer documents, enabling users to extract insights from complex materials without artificial segmentation.

The expanded capacity means users can upload entire books or lengthy research papers and still benefit from NotebookLM’s ability to identify patterns, summarize content, and answer specific questions about the material.

Practical Applications for Professionals and Researchers

These updates collectively position NotebookLM as a more versatile tool for a wider range of professional applications. Journalists can analyze interviews and press conferences, extracting quotes and summarizing key points. Students can upload lecture recordings and course materials in various languages, creating comprehensive study resources. Researchers can work with diverse source materials, including recorded field interviews and multilingual academic papers.

The platform’s enhanced capabilities also make it valuable for content creators who need to research, organize, and synthesize information from various sources. Business professionals can use it to analyze earnings calls, customer interviews, or market research across multiple languages.

Google’s continued investment in NotebookLM reflects the growing importance of AI tools that can work across different content types and languages, adapting to the diverse ways information is created and consumed in the digital age.

Integration with Google’s AI Ecosystem

NotebookLM’s expanded capabilities align with Google’s broader strategy of enhancing its AI tools with multimodal capabilities. The platform now sits more comfortably alongside other Google AI offerings like Gemini, which can also process various types of content. This integration creates a more cohesive ecosystem for users who rely on Google’s tools for research and content creation.

The updates to NotebookLM reflect Google’s response to user feedback and competitive pressures in the AI tool space. By addressing limitations related to media types, language support, and document length, Google has significantly increased NotebookLM’s utility for serious research applications.

The platform remains free to use during its experimental phase, though Google continues to refine its features based on user feedback. These latest updates suggest that NotebookLM is evolving from an experimental tool into a more robust research assistant that could eventually become a core part of Google’s professional and educational offerings.

For researchers, students, and professionals who deal with diverse content types across multiple languages, NotebookLM’s expanded capabilities represent a significant step forward in AI-assisted research tools. The ability to analyze audio, video, and text content in a unified environment streamlines the research process and enables more comprehensive understanding of complex topics.