Overview

Manual YouTube video analysis is tedious and fragmented—fetching metadata, generating transcripts, summaries, and clip suggestions separately wastes time. This workflow consolidates all steps, automating metadata retrieval, audience and content analysis via large models, and delivering multi-format outputs in an email-ready HTML report to accelerate editing and distribution.

The Impact

  • Slash manual labor. Automate metadata fetching and content extraction end-to-end.
  • Boost content insights. Extract audience, topics, and engagement drivers via AI.
  • Accelerate clip selection. Identify 3–5 viral-worthy segments with precise timestamps.
  • Streamline delivery. Send formatted HTML reports directly via Gmail.

Who This Is For

  • Video Creators seeking fast, accurate clip highlights for editing.
  • Social Media Managers building clip libraries and platform-specific scripts.
  • Education & Podcast Teams needing transcripts and concise summaries.
  • Video Production Analysts requiring scene and visual composition breakdowns.

How It Works

1
  1. Fetch Video Metadata
  2. Construct YouTube Data API URL and retrieve video snippet, stats, and details.
2
  1. Analyze Audience & Content
  2. Use a predefined meta prompt to extract structured metadata describing video type, audience, topics, and engagement factors via a large language model.
3
  1. Generate Prompt Templates
  2. Create multiple prompt templates (summary, transcription, timestamps, scene analysis, clip suggestions) dynamically based on extracted metadata.
4
  1. Request AI-Generated Content
  2. Submit the selected prompt and video URL to the generative model, producing the requested textual output.
5
  1. Format and Distribute Report
  2. Convert Markdown output to HTML and send the final analysis report via Gmail; optionally return HTML for archiving or display.

What You'll Need

Before using this template, make sure you have:

  • A valid Google API key with YouTube Data API and Generative Language API enabled.
  • The YouTube video ID you want to analyze.
  • Gmail OAuth credentials configured to send emails from the workflow.
  • (Optional) Recipient email address to receive the analysis report.

How to Use

  1. Step 1. Enter Video ID
  2. Input the YouTubeVideoId parameter with the target video's unique ID.

  3. Step 2. Select Analysis Mode
  4. Choose the PromptType for output: Default, Transcribe, Timestamps, Summary, Scene, or Clips.

  5. Step 3. Provide API Credentials
  6. Fill in your GoogleApiKey and configure Gmail OAuth credentials.

  7. Step 4. (Optional) Set Recipient Email
  8. Specify an email address to receive the report or leave blank to skip email delivery.

  9. Step 5. Run and Verify
  10. Execute the workflow and check the generated report for accuracy and completeness.

FAQs

How does the workflow identify high-engagement clips?
It uses AI to analyze video content and audience metadata, selecting 3–5 segments with strong viral potential based on topics and social platform suitability.
What if I don’t provide a RecipientEmail?
The workflow will generate the analysis report but skip sending it via email, allowing you to retrieve the output directly from the workflow’s final HTML output.
Can I get a verbatim transcript of the video?
Yes, select the Transcribe prompt type to receive a professional verbatim transcription of all spoken dialogue.
How do I obtain the required Google API key?
Create a project in Google Cloud Console, enable YouTube Data API and Generative Language API, then generate an API key for workflow integration.
Which generative model does this workflow use?
It uses the gemini-2.5-flash large language model for content analysis and prompt responses.
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