Podcast show notes and SEO from transcripts

An episode is an hour of great content that search engines can't hear. Turn each one into show notes, chapters and an indexable episode page automatically, as soon as it hits your feed.

What to generate from each episode

• Show notes: a 2 or 3 paragraph summary, guests, links mentioned.
• Chapters: timestamped sections (00:00 Intro, 04:12 How we got our first customer...), which also work in YouTube descriptions and podcast apps.
• Episode article: a readable article for your website, targeting the topics discussed.
• Quotes: 5 lines for social posts and audiograms.
• Full transcript: for accessibility and long-tail search.

How to automate it

1. Poll your feed with /v1/videos?url=YOUR_RSS_FEED&limit=1 (1 credit) and compare the newest episode with the last one you processed.
2. Get the transcript with /v1/transcript?url=EPISODE_URL. If your host publishes transcripts, Transkrio uses them; otherwise it transcribes the audio. Long episodes answer 202 first: retry after retry_after seconds.
3. Send the timestamped transcript to an LLM: "Write show notes, then chapters with the start time of each topic change, then 5 quotable lines."
4. Publish to your CMS, or save drafts for review.

The whole flow fits in an n8n workflow with a Schedule Trigger, two Transkrio nodes, an LLM node and your CMS node.

Chapters from timestamps

Use format=text plus timestamps through the MCP tool, or the JSON segments through the API, so the model sees [mm:ss] markers. Ask it to only use times that appear in the transcript; that keeps chapters accurate.

Try it now on one episode with the free podcast transcript generator, or read about the Podcast Transcription API.