CONTENT CREATION
Published RSS Episode to YouTube Chapters and Description
When a new episode publishes to your podcast RSS feed, transcribe its audio and generate a YouTube-ready description with timestamped chapter markers.
How it runs
The automated pipeline, trigger to output.
- TriggerNew episode published to RSS feedHTTP webhook
- ActionFetch episode audio and transcribe with timestampsElevenLabs
- ActionGenerate YouTube description and chapter markersOpenAI
- OutputWrite YouTube-ready doc to Google DriveGoogle Drive
What it does
Bridges your audio podcast and its YouTube counterpart. As soon as an episode goes live on the feed, it builds the exact description and chapter block YouTube needs, so whoever uploads the video version just copies it in instead of re-listening to mark chapters.
When to use it
Use it when you publish each episode to both a podcast host and YouTube and want the YouTube chapters to match the audio without manual timeline scrubbing. Triggering off the live RSS feed means it runs automatically right after release.
How it works
- 1A new item in the podcast RSS feed triggers the flow via webhook.
- 2The episode's audio URL is fetched and transcribed by ElevenLabs with timestamps.
- 3OpenAI writes a YouTube description and a chapter list formatted in YouTube's required 0:00 syntax, where the first chapter starts at zero.
- 4A Google Drive document is created with the description and chapter block ready to paste into the video upload.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect ElevenLabsText-to-speech, voice cloning.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect Google DriveDocs, sheets, slides, files.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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