CONTENT CREATION

Generate multilingual alt-text for new Dropbox assets

On a new Dropbox image, generates an English caption with HuggingFace, translates it into your target locales with a HuggingFace translation model.

CategoryContent Creation
Enginesim
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew image added to Dropbox folderDropboxDropbox
  • ActionDownload image from DropboxDropboxDropbox
  • ActionGenerate base English caption with HuggingFaceHugging FaceHugging Face
  • ActionTranslate caption per locale with HuggingFaceHugging FaceHugging Face
  • ActionStore all language variants in AirtableAirtableAirtable
  • OutputNotify localization team in SlackSlack

What it does

When a new image arrives in Dropbox, this workflow captions it with HuggingFace, then translates that caption into each of your target languages using a HuggingFace translation model, and saves every language variant to Airtable.

When to use it

Use it when your media serves international audiences and each market needs alt-text in its own language. It produces ready-to-publish localized captions automatically instead of routing every image to translators.

How it works

  1. 1A new image in the watched Dropbox folder triggers the run.
  2. 2The image is downloaded from Dropbox.
  3. 3A HuggingFace image-to-text model produces a base English caption.
  4. 4A loop runs the caption through a HuggingFace translation model for each configured locale.
  5. 5An Airtable record is created with the source caption and one column per language.
  6. 6A Slack note tells the localization team the variants are ready to review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DropboxFiles and folders.
  2. 2
    Connect Hugging FaceModels, datasets, spaces — the open-source hub.
  3. 3
    Connect AirtableBases, tables, views, automations.
  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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