Automated Podcast Insights: From Transcript to Gmail Summary
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This n8n workflow automates the process of analyzing podcast transcripts. It chunks the audio, summarizes key points, generates questions and research topics, leverages AI to research these topics using Wikipedia, and finally formats the findings into an HTML report sent directly to your Gmail inbox.
About This Workflow
Unlock deeper insights from your podcast episodes with this powerful n8n workflow. It intelligently processes your podcast transcripts, breaking them down into manageable chunks and then generating concise, refined summaries. The workflow then identifies key questions and topics from the summary, using AI to research each topic through Wikipedia. Finally, it compiles all this information into a beautifully formatted HTML report, ready to be delivered directly to your inbox via Gmail. This streamlines content creation, research, and distribution, making your podcast analysis effortless and efficient.
Key Features
- Automated Transcript Chunking & Summarization: Efficiently processes long transcripts into digestible summaries.
- AI-Powered Topic Generation & Research: Identifies key questions and uses Wikipedia to gather in-depth explanations.
- Customizable AI Agent: Leverages an AI agent to refine and present research findings.
- Seamless Email Delivery: Automatically formats and sends research reports via Gmail.
How To Use
- Trigger Workflow: Click the "Execute Workflow" button to initiate the process.
- Input Transcript: The "Podcast Episode Transcript" node will provide the raw transcript data.
- Summarize & Chunk: The "Sticky Note" nodes guide the AI in chunking and summarizing the transcript content.
- Generate Questions: Another "Sticky Note" node focuses on creating questions and topics from the summary, ensuring a required schema.
- AI Research: The "AI Agent" and "Wikipedia" nodes work together to research generated topics.
- Format & Send: The final "Sticky Note" node directs the workflow to format the output as HTML and send it via Gmail.
Apps Used
Workflow JSON
{
"id": "272a9763-4f54-4f3c-9b98-bfafe658118c",
"name": "Automated Podcast Insights: From Transcript to Gmail Summary",
"nodes": 26,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 272a9763-4f54...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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