CONTENT CREATION

Translate master copy with OpenAI then render per-locale heroes

Takes one English master banner brief, uses OpenAI to translate the headline and CTA into each target language, generates a hero image per locale.

CategoryContent Creation
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook receives master brief and target localesHTTP webhook
  • ActionTranslate headline, subhead, and CTA per locale with OpenAIOpenAI
  • ActionGenerate localized hero image per localeImage generation
  • ActionLog translation pairs to Airtable for reviewAirtableAirtable
  • OutputSave banners to per-locale Google Drive foldersGoogle DriveGoogle Drive

What it does

Starts from a single source-language banner brief and produces a translated, fully rendered hero for every target locale. OpenAI handles the translation step so you do not need pre-localized copy on hand, and every translation is logged for review.

When to use it

Use this when marketing has finished English copy but no translations yet, and you want first-draft localized heroes for a dozen markets within minutes for stakeholder review.

How it works

  1. 1A webhook fires with the master brief and the list of target locales.
  2. 2For each locale, OpenAI translates the headline, subhead, and CTA while preserving length constraints and brand terms.
  3. 3Generate a hero image that places the translated copy onto the shared master layout.
  4. 4Write each translation pair to an Airtable log so a native reviewer can flag fixes.
  5. 5Save the rendered banners into a per-locale Google Drive folder for download.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect Image generationManaged Nano Banana image renders, metered per image.
  4. 4
    Connect AirtableBases, tables, views, automations.
  5. 5
    Connect Google DriveDocs, sheets, slides, files.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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