Popular Lesson
Select sources to summarize either individually or in groups, depending on your goals
Generate summaries using simple, direct prompts for any document or combination of documents
Refine summaries by requesting specific length or formats, such as bullet points or numbered lists
Save and organize useful summaries as notes for future reference or deeper analysis
Convert saved notes into new sources to streamline complex research workflows
Navigate annotated summaries for quicker access to original content
Organizing your research or reference materials doesn’t mean much if you can’t get useful information out quickly. Summarizing is the most common task in NotebookLM, letting you condense everything you’ve uploaded so you don’t have to read every page. With AI-powered summarization, you can get concise overviews of all your sources at once, focus on individual documents, and tailor outputs for specific projects or formats.
This lesson builds on earlier steps—organizing and uploading files—by showing how to turn your collection into actionable knowledge. You’ll see how to use NotebookLM’s chat box to prompt summaries, refine them with your own wording, and access instant key points. This is practical whether you’re managing research papers, meeting notes, or any mix of files: a few quick steps and you have the highlights at hand, ready to use or share. Across education, work, or personal research, knowing how to get fast, custom summaries saves you time and helps with retention.
Need to quickly understand or share the core ideas from a pile of documents? This lesson is ideal if you are:
Summarization sits at the heart of working with large amounts of content. Once you’ve uploaded and organized files in your notebook, summarizing lets you get the gist fast—saving you from manual skimming or searching. For example, after uploading meeting transcripts and strategy documents, you might ask for a combined summary to prepare your next presentation. Or if you’re writing a newsletter, you could generate a short headline-worthy summary of a single article.
Summaries can be saved as notes, referenced later, or turned into new sources as your work evolves. This step transforms your notebooks from digital storage into an active resource for productivity, planning, and sharing insights with others.
In the past, skimming dozens of pages or manually creating summaries took significant time and effort. NotebookLM changes that by offering single-click AI tools: you can condense multiple files or just one, adapt summaries to your needs, and save immediately useful output as organized notes.
For repetitive tasks, like preparing executive digests or creating educational overviews, NotebookLM’s approach saves hours. Rather than copying and pasting excerpts, you can instantly request a 120-word summary (ideal for social media or video scripts) or get main points as a list for presentations. By converting summaries into new sources, you also keep your project organized and build layers of insight as you go—improving both speed and depth in your workflow.
Test what you’ve learned using a set of diverse files, such as a PDF report, a text transcript, and an article.
Reflect: Which summary style helped you understand the documents fastest? Did refining the prompt give you a noticeably better result?
Summarization is a key step after organizing your content in Google NotebookLM. Before this lesson, you set up notebooks and brought in various documents. Now you know how to get useful, targeted summaries that turn your uploads into working knowledge. The next lesson will focus on going beyond summaries—asking specific questions within NotebookLM to extract even deeper insights. Continue through the course to get the most from your research and content organization.