Popular Lesson
Add YouTube video links directly to a NotebookLM notebook for analysis
Generate automatic summaries and key topic lists from video transcripts
Combine multiple YouTube videos—even across different channels—for richer research
Manage included sources by selecting or removing specific videos
Integrate YouTube insights with other documents, websites, or files
Quickly decide which videos are most relevant for deeper review
This lesson focuses on bringing YouTube videos into your research workflow using Google NotebookLM. Whether you are researching a single topic, comparing perspectives, or collecting case studies, NotebookLM turns video transcripts into searchable, summarized content at your fingertips. By adding YouTube links, you can see summaries and key talking points automatically, helping you scan content efficiently before deciding to watch. This is useful not just for one-off videos, but also for researching trends by collecting multiple related videos from the same channel or subject area.
The lesson also highlights a practical advantage: you’re not limited to a single video. With NotebookLM, you can gather and compare insights from several YouTube videos, and even blend them with PDFs, websites, or your own files. For example, compiling expert talks about artificial intelligence from different channels lets you pull together a more complete understanding without manually transcribing or rewatching. This approach saves time, increases accuracy, and creates a deeper source base for your projects or studies.
If you want to make research and information gathering from YouTube easier and faster, this lesson is designed for you.
This workflow is ideal before deep-diving into watching or quoting YouTube videos—especially when your project depends on reliable, broad perspectives. For example, when researching how AI is influencing startups, you can add several expert YouTube videos, scan summaries and key points, and quickly pinpoint the most useful segments for your needs.
You might also supplement meeting notes or existing reports by bringing in relevant video explanations or industry updates. Where before, you might manually take notes or rely on memory, now you can view and compare video highlights instantly within your notebook, adding more detail and credibility to your work.
Historically, analyzing YouTube videos for information required manual note-taking, re-watching segments, or using separate tools for transcription and summary. With NotebookLM, you simply paste a video link, and the transcript is auto-extracted (if the video’s one day old or more). Summaries and topics are generated in seconds, letting you assess content relevance without extra steps.
Combining multiple videos—across channels or topics—used to be tedious, as cross-referencing required multiple browser tabs and manual comparisons. Now, you can add up to 50 sources (or more with the upgraded plan), blend them with other media, and filter which ones contribute to your research. This consolidation results in significant time savings, greater consistency, and a more streamlined research experience—especially valuable for anyone who works with complex or evolving subjects.
Imagine you’re preparing a research summary on “The Future of AI.” Here’s how to use NotebookLM for this scenario:
After this, ask yourself: Did using summaries help you quickly spot which videos added the most value to your research? What would have been different if you only used written articles?
You’re now building expertise in leveraging different types of media for research within NotebookLM. The previous lesson introduced adding YouTube videos as sources; here, you saw how to extract insights and summarize multiple videos at once. Up next, you’ll see how to combine these video insights with other sources—like PDFs and web pages—for even deeper AI-assisted research. Continue on to see how all these tools work together towards more effective information management. Explore the course for more skills and hands-on practice.