SUMMARIZATION

Auto-chapter Zoom recordings into a Notion topic index

When a Zoom cloud recording finishes, this workflow pulls the transcript, uses AI to split it into timestamped chapters.

CategorySummarization
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom cloud recording completedZoomZoom
  • ActionFetch transcript and recording metadataZoomZoom
  • ActionSegment transcript into timestamped chaptersOpenAI
  • LogicFormat chapters into indexed rows with jump links
  • OutputWrite topic index to Notion pageNotionNotion

What it does

Turns every completed Zoom cloud recording into a browsable, timestamped chapter list inside Notion. Instead of scrubbing through an hour-long call, your team opens one Notion page with each topic, its start time, and a one-line summary.

When to use it

Use it for recurring meetings, webinars, or customer calls where people need to find "the part about pricing" without watching the whole thing. Best for teams that already live in Notion and want a single searchable archive.

How it works

  1. 1Zoom fires the recording-completed event for a finished cloud recording.
  2. 2The flow fetches the VTT transcript and recording metadata from Zoom.
  3. 3OpenAI segments the transcript into coherent chapters, each with a start timestamp and a short topic title and summary.
  4. 4A logic step formats each chapter into a timestamped row with a deep link back to the recording position.
  5. 5The result is written as a new Notion page under your meetings database, fully indexed and searchable.

Set it up

What you configure once, before turning it on.

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

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