CONTENT CREATION
Zoom Recorded Interview to Confluence Show Notes
After a Zoom recording finishes processing, pull the cloud recording, transcribe it, and publish structured show notes with chapters and pull-quotes to your team's Confluence…
How it runs
The automated pipeline, trigger to output.
- TriggerZoom cloud recording completedZoom
- ActionFetch recording and transcribe with timestampsElevenLabs
- ActionGenerate summary, chapters, and pull-quotesOpenAI
- OutputPublish show-notes page to ConfluenceConfluence
What it does
For podcasts recorded as Zoom interviews, this captures the cloud recording the moment it's ready and produces an internal show-notes document: a summary, chapter markers, and a set of quotable lines, all written to Confluence where editors and guests can collaborate.
When to use it
Use it when your show is recorded over Zoom and your editorial workflow lives in Confluence. It's built for remote interview shows that need internal notes and guest-approval drafts before anything is published externally.
How it works
- 1A Zoom recording-completed event triggers the flow once cloud processing finishes.
- 2The recording's audio track is fetched and sent to ElevenLabs for a timestamped transcript.
- 3OpenAI produces a summary, chapter list with timestamps, and five strong pull-quotes attributed to the right speaker.
- 4A Confluence page is created in the show's space with the summary, chapters, and quotes formatted for editorial review.
Set it up
What you configure once, before turning it on.
- 1Connect ZoomMeetings, recordings, transcripts.
- 2Connect ElevenLabsText-to-speech, voice cloning.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect ConfluenceSpaces, pages, blueprints.
- 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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