SUMMARIZATION

Build a searchable chapter archive of Zoom calls in Airtable

Each completed Zoom recording is chaptered by AI and appended as rows in Airtable, with one row per chapter holding timestamp, topic, summary, and speakers for a fully searchable…

CategorySummarization
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom cloud recording completedZoomZoom
  • ActionPull transcript with speaker labelsZoomZoom
  • ActionChapter transcript with topics and speakersOpenAI
  • LogicMap chapters to records and link to meeting
  • OutputAppend chapter rows to AirtableAirtableAirtable

What it does

Maintains a growing, queryable archive of every recorded Zoom call. Rather than one summary per meeting, it writes one Airtable row per chapter, so you can filter and search across all calls by topic, speaker, or keyword.

When to use it

Use it when you need a knowledge base of meeting content — sales discovery calls, research interviews, support escalations — that analysts can slice and pivot on later. Airtable's views and filters turn the chapter rows into reports.

How it works

  1. 1Zoom signals a finished cloud recording.
  2. 2The flow pulls the transcript with speaker labels and timestamps from Zoom.
  3. 3OpenAI splits the transcript into chapters, each tagged with topic, summary, start time, and the speakers involved.
  4. 4A logic step maps each chapter to an Airtable record and links it to the parent meeting via a shared recording ID.
  5. 5The chapter rows are appended to the calls table in Airtable, ready to search and filter.

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 AirtableBases, tables, views, automations.
  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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