SOCIAL MEDIA

Localize video captions per region with timezone-aware scheduling

When a Loom video is published, translates and adapts captions for each target region's language and tone, then schedules every regional post at that region's local prime time.

CategorySocial Media
Enginesim
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerLoom video publishedLoomLoom
  • ActionFetch transcript and source languageLoomLoom
  • ActionLocalize and translate captions per regionOpenAI
  • LogicMap regions to local prime-time slots
  • ActionSchedule regional posts by timezoneSocial publishing
  • OutputLog regional posts to NotionNotionNotion

What it does

Turns one published Loom video into region-specific posts. It generates a base caption from the transcript, adapts and translates it per target region with appropriate tone and local references, then schedules each regional variant to land at that region's prime posting hour in its own timezone. Every scheduled post is logged to Notion by region.

When to use it

Use it when you distribute to multiple language markets and a single English caption posted at one time wastes most of your audience. Ideal for global creators and brands running region-segmented channels.

How it works

  1. 1A Loom webhook fires when the video is published.
  2. 2Fetch the transcript and source language from Loom.
  3. 3An OpenAI step produces a localized, translated caption for each configured region.
  4. 4A logic step maps each region to its prime-time slot in the correct timezone.
  5. 5Post-to-Platforms schedules each regional variant at its local time.
  6. 6Write a Notion row per region capturing language, local time, and caption.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect LoomVideo transcripts, libraries.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect Social publishingCross-post to X, LinkedIn, Instagram, TikTok, and 4 more in one call.
  4. 4
    Connect NotionPages, databases, comments.
  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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