CONTENT CREATION

Auto-chapter a recorded Zoom interview and file it in Notion

After a Zoom recording finishes, pull the audio, transcribe it, generate clickable timestamped chapters and a short episode brief.

CategoryContent Creation
Enginesim
Difficultybeginner
Triggerevent
Steps4
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom recording completedZoomZoom
  • ActionTranscribe recording with ElevenLabsElevenLabsElevenLabs
  • ActionBuild timestamped chapters + episode briefOpenAI
  • OutputAppend chapters and brief to Notion episode pageNotionNotion

What it does

Watches for completed Zoom recordings and turns each one into a chaptered episode entry. It fetches the recording, transcribes it, builds a list of timestamped chapter markers plus a one-paragraph episode brief, and writes everything to the right page in your Notion episode database — no manual download or copy-paste.

When to use it

Use it when you record interviews over Zoom and want chapters ready the moment the call ends. Ideal for teams that track episodes in Notion and want each recording auto-filed and pre-chaptered before an editor opens it.

How it works

  1. 1A Zoom "recording completed" event triggers the run and provides the recording.
  2. 2ElevenLabs transcribes the recording audio with timestamps.
  3. 3An LLM step produces ordered chapter markers (timecode + descriptive title) and a concise episode brief.
  4. 4The output step locates the matching episode page in the Notion database and appends the chapters and brief, ready for the editor.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZoomMeetings, recordings, transcripts.
  2. 2
    Connect ElevenLabsText-to-speech, voice cloning.
  3. 3
    Connect NotionPages, databases, comments.
  4. 4
    Connect OpenAIModels, embeddings, files.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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