The AI-Powered YouTube Researcher (Summarize LOTS of Videos at Once!)
Table of Contents
Introduction
This tutorial will guide you through the process of creating an AI-powered YouTube researcher that can summarize and compare multiple YouTube videos. Utilizing automation tools like Make.com, along with OpenAI's GPT-4o for summarization, you'll learn how to streamline your video research process. Additionally, we'll cover a manual approach using Google’s Notebook LM for those who prefer a non-automated method.
Step 1: Curate Your Video List
Start by gathering the YouTube videos you want to analyze.
- Create a list of video URLs in a Google Sheet.
- Organize the sheet to include titles and any specific notes about the content you want to focus on.
Tip: Keep your list concise and relevant to ensure focused summaries.
Step 2: Set Up Make.com Scenario
Follow these steps to automate the fetching of video transcripts and summarization.
- Create a Make.com Account: If you don’t have one, sign up at Make.com.
- Start a New Scenario:
- Click on "Create a new scenario."
- Integrate Apify:
- Add Apify as a module to extract YouTube transcripts.
- Configure it to pull transcripts from the URLs you listed in your Google Sheet.
- Add OpenAI Module:
- Add OpenAI's GPT-4o to generate summaries.
- Set it to take the transcripts and produce concise summaries.
Tip: Test each module separately to ensure they function correctly before combining them.
Step 3: Fetch YouTube Transcripts
With your scenario set up, initiate the process to gather transcripts.
- Run the scenario to extract transcripts for each video.
- Ensure transcripts are complete and formatted correctly for summarization.
Common Pitfall: Check for any errors in transcript extraction; incomplete transcripts can lead to poor summaries.
Step 4: Use AI to Summarize Videos
Once you have the transcripts, it’s time to generate summaries.
- Configure OpenAI Summarization:
- In your Make.com scenario, feed the transcripts into your OpenAI module.
- Set parameters to focus on key insights and differing opinions.
- Run the Summarization Process:
- Execute the scenario to get summaries for all videos.
Tip: Experiment with different summarization prompts to tailor the output to your needs.
Step 5: Aggregate Results in Google Sheets
After summarization, compile everything into Google Sheets.
- Create a new sheet to store all the summaries.
- Include columns for video titles, key points, and any specific comparisons you want to highlight.
Tip: Use conditional formatting to easily identify videos with similar themes or contrasting viewpoints.
Step 6: Compare Videos Using AI
To analyze the differences and similarities among videos, utilize AI tools for comparison.
- Set Up Comparison in OpenAI:
- Create a new task in your Make.com scenario for comparison.
- Feed in the summaries and ask OpenAI to highlight similarities and differences.
- Store Comparison Results:
- Add these insights into your Google Sheet for easy reference.
Tip: Consider grouping videos by theme for a more streamlined comparison.
Step 7: Explore Manual Approach with Notebook LM
If you prefer a manual method, use Google’s Notebook LM.
- Access Notebook LM:
- Open the Notebook LM tool.
- Input Video Links:
- Manually input the URLs of the videos.
- Summarize and Compare:
- Use Notebook LM’s features to summarize each video and compare them side by side.
Tip: This method is ideal for smaller projects or when you want a hands-on approach.
Conclusion
You now have a comprehensive guide to creating an AI-powered YouTube researcher. By following these steps, you can efficiently summarize and compare multiple videos, enhancing your research and content creation process. Whether you choose to automate with Make.com and OpenAI or manually analyze using Notebook LM, you’ll gain valuable insights from your video research.
Next steps could include experimenting with different prompts for summarization or exploring additional tools to further enhance your research capabilities.