12 NotebookLM Epic Use Cases You Must Try

Key Concepts

Notebook LM, Gemini 2.0, AI tools, prompt engineering, HubSpot, study guide generation, timeline creation, Napkin AI, YouTube video summarization, voice note analysis, conference call analysis, book analysis, translation, audio overview, Descript, 11 Labs, voice cloning, text-to-video, Sora, Suno AI, AI avatar.

Notebook LM Use Cases

1. Basic Conversation with Notes

• Main Point: Notebook LM allows users to have conversations with uploaded documents (PDFs, text files, Google Docs).
• Details:
  • Notebook LM is now built with Gemini 2.0.
  • Users can upload multiple sources (up to 50) into a single notebook.
  • The AI provides annotations indicating the source of its information.
• Example: Uploading a course transcript as a PDF and a Google Doc with AI productivity tools, then asking for a one-sentence recap.

2. Repurposing Notes

• Main Point: Notebook LM can repurpose notes into study guides, outlines, and briefing documents.
• Process:
  • Select the "Study Guide" or "Briefing Doc" option.
  • Notebook LM generates a new note with the repurposed content.
  • Study guides include quizzes, essay questions, and key terms.
  • Briefing documents provide a concise summary of the source material.
• Example: Generating a study guide for an AI boot camp course from a PDF transcript and a Google Doc.

3. Timeline Creation from Websites

• Main Point: Notebook LM can create timelines from website content, particularly useful for historical topics.
• Process:
  • Add a website link as a source.
  • Select the "Timeline" option.
  • Notebook LM generates a timeline with key events and characters.
• Example: Creating a timeline from a Wikipedia article about a historical period.
• Integration with Napkin AI: The generated timeline text can be copied and pasted into Napkin AI to create a visual graphic for presentations. Napkin AI offers various styles and variations for the graphic.

4. YouTube Video Summarization

• Main Point: Notebook LM can summarize and answer questions about YouTube videos.
• Process:
  • Add a YouTube video link as a source.
  • Users can have conversations and ask questions about the video content.
  • Multiple YouTube videos can be added as sources to a single notebook.
• Example: Adding a video about Notebook LM and a playlist about AI fundamentals as sources.

5. Prompt Engineering with HubSpot's Resource

• Main Point: Using a resource of pre-written prompts from HubSpot can improve interactions with Notebook LM and other AI chatbots.
• Details:
  • HubSpot provides a free resource with over 1,000 prompts for productivity, content creation, SEO, and more.
  • These prompts can save time and improve the quality of AI-generated responses.
• Actionable Insight: Download the prompt book from the link in the description and test it with Notebook LM.

6. Voice Note Analysis

• Main Point: Notebook LM can analyze and summarize voice notes recorded on a smartphone.
• Process:
  • Transfer voice note files from a phone to Notebook LM.
  • Notebook LM transcribes and allows users to have conversations with the content.
• Example: Uploading voice memos about AI updates and using Notebook LM to recap the information for a newsletter.

7. Conference Call Analysis

• Main Point: Notebook LM can analyze recordings of video conferences.
• Process:
  • Upload the conference call recording to YouTube as an unlisted video to generate a transcript.
  • Add the YouTube link as a source in Notebook LM.
  • Notebook LM provides a summary and allows users to ask questions about the call.
• Example: Analyzing a 30-minute video about Gemini.

8. Book Analysis

• Main Point: Notebook LM can analyze entire books due to its large context window.
• Process:
  • Upload the book as a text file, PDF, or add it to Google Docs.
  • Add the document or website link as a source in Notebook LM.
  • Use prompts to generate briefings, summaries, or answer specific questions about the book.
• Example: Analyzing "A Tale of Two Cities" by Charles Dickens.

9. Translation

• Main Point: Notebook LM's output can be easily translated into other languages using translation tools like DeepL.
• Process:
  • Copy the text from Notebook LM.
  • Paste the text into DeepL.
  • Select the target language.
  • Copy the translated text.
• Example: Translating a briefing of "A Tale of Two Cities" from English to Chinese or German.

10. Audio Overview (Podcast Generation)

• Main Point: Notebook LM can generate a human-sounding podcast based on the source material.
• Process:
  • Select the "Audio Overview" option.
  • Notebook LM generates a podcast with two AI voices discussing the content.
  • The audio file can be downloaded.
• Limitation: Currently, all users have access to the same two AI voices.
• Example: Generating a podcast discussing "A Tale of Two Cities."

11. Customizing the Podcast with Descript and 11 Labs

• Main Point: The default podcast generated by Notebook LM can be customized using Descript and 11 Labs.
• Process:
  • Use Descript to transcribe the audio and isolate the two AI voices.
  • Edit the transcription in Descript to remove unwanted sections, which also edits the audio.
  • Use 11 Labs' Voice Studio to create a multitrack audio file.
  • Copy the text for each speaker from Descript and paste it into 11 Labs.
  • Generate the audio with custom voices in 11 Labs.
• Benefits: Allows for unique-sounding podcasts with different voices.

12. Video Generation

• Main Point: Notebook LM can be used to generate text prompts for video creation.
• Process:
  • Ask Notebook LM to create text prompts for a text-to-video platform.
  • Use the prompts in platforms like Sora to generate video clips.
  • Use Suno AI to generate background music.
  • Combine the video clips and music to create a video.
• Example: Generating video clips and music to summarize "A Tale of Two Cities."

Bonus: AI Avatar Integration

• Main Point: Integrating Notebook LM with AI avatars can bring the AI podcaster to life.
• Process:
  • Transcribe the audio from Notebook LM.
  • Use an AI avatar platform like HeyGen to clone a voice and replace one of the podcasters.
  • Use a video editor like CapCut to combine the AI avatar with the audio.

Conclusion

Notebook LM is a versatile and powerful AI tool with numerous applications, ranging from basic note-taking and summarization to advanced content repurposing and multimedia creation. Its integration with other AI tools like Napkin AI, DeepL, Descript, 11 Labs, Sora, and HeyGen further expands its capabilities, allowing users to create custom podcasts, videos, and AI avatars. The key to maximizing Notebook LM's potential lies in effective prompt engineering, as highlighted by the free prompt book offered by HubSpot.