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Content Internationalization (i18n): Extract Your Visual Texts into JSON Dictionaries

Published October 24, 2026 by David

You’ve been hardcoding text into visuals for too long. The result? Every new market costs you a full day of manual tweaks. What if you could avoid this entirely?

Embedding text directly into images is like taping a dollar price tag on a product sold in euros. It blocks everything. To enter Germany or Japan without wasting 3 hours per visual, separate design from data. Period.

Une personne regardant un horizon complexe, symbolisant l'expansion vers de nouveaux marchés internationaux et l'i18n

The Dev Method, Now for Your LinkedIn Carousels Take Next.js: no text is hardcoded. Everything is pulled via keys in JSON files (fr.json, de.json). Apply this to your visuals.

Real-world example:

  • Your hook "Boost your sales" becomes a variable: main_hook.
  • In Germany, load main_hook: "Steigern Sie Ihre Verkäufe" without touching your design.

One file to update. Zero risk of font misalignment or layout breaks.

No More Chaotic Translations With this structure, your translators (human or AI) work on clean text—not recreating images. The outcome?

  • 0 manual font alignment.
  • 0 time wasted retyping.
  • 100% focus on the message.
Une équipe de professionnels en pleine discussion stratégique autour d'un ordinateur, illustrant l'intégration de traductions i18n en équipe

Automation That Saves You 10 Hours/Month Got your translations in JSON? Perfect. Now let the machine handle the heavy lifting.

Our tool takes your multilingual data and generates your carousels in 5 seconds, in all target languages, with pixel-perfect geometry. No copy-paste. No tweaks. Just pro-ready output.

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Les illustrations de ce blog sont généreusement mises à disposition par les photographes d' Unsplash.