CONTENT CREATION
Localize annotated tutorial image sets into multiple languages
Takes an annotated English screenshot set, translates every callout label into your target locales, re-renders the labels onto each image in Figma.
How it runs
The automated pipeline, trigger to output.
- TriggerManual run with Figma file key and target locales
- ActionExtract callout text layers from Figma masterFigma
- ActionTranslate label strings per localeOpenAI
- ActionRewrite text layers and export PNG set per localeFigma
- OutputPublish locale-prefixed image sets to R2Cloudflare R2
What it does
Produces localized copies of an annotated screenshot tutorial. Starting from a master Figma annotation file whose callout labels are real text layers, it translates each label into a list of target languages, swaps the text per locale, re-exports the images, and ships one complete image set per language to R2 so your localized help center pulls them directly.
When to use it
Use it when a tutorial ships in English first and you need de, fr, es, and ja versions of the same annotated screenshots without redrawing arrows for every locale. The geometry stays fixed; only label text changes.
How it works
- 1You trigger the run with a Figma file key and the list of target locales.
- 2The flow pulls every callout text layer and its string content from the Figma file.
- 3OpenAI translates the label strings as a batch per locale, preserving UI terminology.
- 4For each locale the flow rewrites the text layers in a duplicated Figma page and exports all frames as PNGs.
- 5Each language set is uploaded to R2 under a locale-prefixed path, ready for the docs CDN.
Set it up
What you configure once, before turning it on.
- 1Connect FigmaFiles, frames, comments, assets.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect Cloudflare R2Object storage, S3-compatible.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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