CONTENT CREATION

Localized short-form clip set from a Loom demo

When a product demo finishes recording in Loom, it cuts the recording into short vertical clips, generates voiceover and captions per target market.

CategoryContent Creation
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew Loom demo recording completesLoomLoom
  • ActionFetch transcript and segment into highlight clipsLoomLoom
  • ActionSynthesize localized voiceover per marketElevenLabsElevenLabs
  • ActionRender timed captions per market clip
  • ActionWrite clip set to per-market Drive folderGoogle DriveGoogle Drive
  • OutputPost review note to SlackSlack

What it does

Turns one long product demo into a per-market pack of short vertical clips with localized voiceover and burned-in captions, then files them for review — no manual editing pass.

When to use it

Use when you record demos in Loom and ship the same product to multiple language markets (e.g. US, DE, FR, JP). Instead of re-recording or hand-subtitling each one, you get a ready-to-review clip set per market from a single take.

How it works

  1. 1A new Loom recording finishes in the watched space and fires the trigger.
  2. 2The flow pulls the transcript and segments it into 3-5 short highlight moments.
  3. 3For each target market, the transcript text is translated, then ElevenLabs synthesizes a localized voiceover track.
  4. 4Captions are timed per segment and rendered per market.
  5. 5The finished clip set is written to a per-market folder in Google Drive and a review note is posted to Slack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect LoomVideo transcripts, libraries.
  2. 2
    Connect ElevenLabsText-to-speech, voice cloning.
  3. 3
    Connect Google DriveDocs, sheets, slides, files.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  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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