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Summarise long videos from their transcripts

Fetches each video transcript you list, summarises the whole thing section by section with AI, and logs it to a sheet.

Run manually2 apps5 steps

Apps it connects

Authenticate each one once and the workflow is ready to run.

What it does

Each integration step this workflow runs, in order, what it is for, and the conditions and loops that decide when it runs.

  1. 1Google SheetsCreate tabCreates a 'Video summaries' tab in your sheet on the first run, and adds to the existing one after that.
  2. If tabIsNew is true

    1. 2Google SheetsAppend rowAppends a header row to a new tab, then one row per video with title, link, sections covered, summary and key points.
  3. For each transcriptEntry

    1. For each section

      1. 3OpenAIQuery modelAsks the AI to note the points made in each transcript section, then write one summary and key points from those notes.
    2. 4OpenAIQuery model
    3. 5Google SheetsAppend row

How it works

What happens on each run, in plain English.

Give it a list of transcript links, one per line with an optional title, and run it whenever you have a batch of videos to get through. Each transcript is fetched, cut into sections along its own line breaks and read section by section by the AI, which notes the actual claims in each part. Those notes are then written up as one summary in the style you describe, with key points underneath, so the end of a long talk is covered too.

You end up with a 'Video summaries' tab in your Google Sheet holding one row per video: date, title, transcript link, word count, sections covered, summary and key points. The tab is created on the first run and added to after that, never overwritten. A transcript that cannot be fetched or comes back empty is reported and skipped while the rest go through, and a very long one is capped at a set number of sections, with the row saying how many were read.

Transcripts must be reachable by link; the video itself cannot be read.

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