CONTENT CREATION

Generate RTL-mirrored screenshots for Arabic and Hebrew markets

When a new screenshot ships to Dropbox, generates a right-to-left mirrored variant with translated copy via an image model, then routes it for RTL-layout QA before publishing.

CategoryContent Creation
Enginesim
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew master screenshot lands in Dropbox folderDropboxDropbox
  • ActionFetch RTL translated strings + layout promptAirtableAirtable
  • ActionRender mirrored RTL variant via image modelReplicateReplicate
  • LogicFlag overflow / low-confidence RTL layouts
  • ActionSend flagged renders to QA channelSlack
  • OutputWrite approved RTL screenshots back to DropboxDropboxDropbox

What it does

Detects new left-to-right product screenshots and produces RTL-correct counterparts for Arabic and Hebrew. It mirrors the layout, regenerates the copy in the target language using an image generation model, and gates the result behind a quick human QA so broken bidi layouts never ship.

When to use it

Use it when expanding into RTL markets where a naive copy-paste of LTR screenshots looks wrong. Triggers automatically as English masters land, so RTL variants stay in lockstep with the source set.

How it works

  1. 1A new file landing in the Dropbox /masters folder fires the trigger.
  2. 2The flow pulls the matching translated strings and an RTL layout prompt.
  3. 3Replicate runs an image model that mirrors the layout and renders the localized RTL copy in place.
  4. 4A logic check flags renders where text overflows or alignment confidence is low.
  5. 5Flagged renders go to a Slack review channel; clean ones pass straight through.
  6. 6Approved RTL screenshots are written back to Dropbox under /rtl/{locale}/.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DropboxFiles and folders.
  2. 2
    Connect ReplicateImage, video, and model inference.
  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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