Automate Podcast Summaries, Research, and Email Digests
Automatically generate comprehensive podcast digests, including AI-powered summaries and researched topics, reducing content creation and distribution time by over 75%.
Manual summarization, topic extraction, research, and formatting of podcast episodes for listener digests are tedious and time-consuming. This workflow automates the entire process, leveraging AI to summarize transcripts, identify key discussion points, perform research via Wikipedia, and deliver a personalized, ready-to-publish email digest.
Documentation
AI Podcast Digest Generator
This n8n workflow revolutionizes your podcast content strategy by automating the creation and distribution of insightful episode digests. Designed for podcasters, content creators, and marketers, it transforms raw audio transcripts into valuable, research-backed email summaries, saving significant time and effort while boosting listener engagement.
Key Features
- Automated transcript summarization using advanced AI models.
- Intelligent extraction of key questions and discussion topics from podcast content.
- AI-powered research of extracted topics via Wikipedia for enriched, factual content.
- Automatic formatting of all content into a polished HTML email digest.
- Seamless delivery of comprehensive digests directly to your inbox via Gmail.
How It Works
This powerful workflow kicks off with a manual trigger, ingesting your podcast episode transcript. The transcript is then intelligently chunked and summarized by an advanced AI model. From this summary, the AI extracts relevant questions and key topics for deeper exploration. An AI Agent, equipped with a Wikipedia tool, researches each identified question and topic, providing comprehensive explanations. Finally, all the processed information—summary, researched topics, and thought-provoking questions—is formatted into an engaging HTML email and sent directly to your specified inbox via Gmail, creating a ready-to-publish podcast digest.