Transcribe and Summarize Podcasts Automatically
Automatically transcribe podcast episodes, extract key insights, and repurpose the content into show notes, social clips, and newsletter summaries.
Download workflow config (JSON)How the data moves
This is a handoff plan, not an automatic integration. Review outputs before the next step. Unlabeled arrows show order, not a verified data format. Use the capability links to explore tool substitutions.
Step 1
Transcribe the Episode
Upload your audio file to Otter.ai or run it through Descript. Both provide highly accurate transcripts with speaker identification in minutes.
Step 2
Extract Key Insights
Paste the transcript into Claude and prompt it to extract the 10 most shareable insights, 5 memorable quotes, and 3 actionable takeaways from the episode.
Step 3
Generate Show Notes
Ask ChatGPT to write structured show notes using the insights and transcript: intro summary, timestamped highlights, guest bio if applicable, and resource links.
Step 4
Create Social Content
Use the quotes and insights to generate tweet threads, LinkedIn posts, and Instagram caption drafts using ChatGPT's social post mode.
Time Required
20 min per episode
Expected Result
Formatted show notes, 5 social post drafts, and an email summary for every podcast episode you produce.
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