CONTENT CREATION

Generate localized hero banners from an Airtable locale matrix

Reads one master banner layout plus a per-locale copy and styling matrix from Airtable, generates a translated hero image for each active locale.

CategoryContent Creation
Enginesim
Difficultyintermediate
Triggermanual
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOperator starts a banner batch for a campaign
  • ActionRead master layout and active locale rows from AirtableAirtableAirtable
  • LogicSkip locales with incomplete copy fields
  • ActionGenerate a localized hero image per localeImage generation
  • OutputUpload banners to locale folders in DropboxDropboxDropbox

What it does

Turns a single master hero layout into a full set of locale-specific banners. It pulls one row per locale from an Airtable table that holds the headline, subhead, CTA text, and accent color for each market, then renders a matching image and files it by locale.

When to use it

Use this when a campaign needs the same hero across 8-20 markets and your localized copy already lives in Airtable. It removes the manual step of handing each translation to a designer and waiting for one-off exports.

How it works

  1. 1A manual run kicks off the batch against a chosen campaign.
  2. 2Pull the master layout record and every locale row flagged active from Airtable.
  3. 3For each locale, compose a prompt that injects the localized headline, subhead, CTA, and brand accent onto the master composition.
  4. 4Generate the hero image at the campaign's target dimensions.
  5. 5Skip any locale whose copy fields are incomplete so half-filled rows never ship.
  6. 6Upload each finished banner to a locale-named folder in Dropbox.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  2. 2
    Connect Image generationManaged Nano Banana image renders, metered per image.
  3. 3
    Connect DropboxFiles and folders.
  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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