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How I Reduced Website Translation Time from 2 Weeks to 2 Hours with Python and AI

case study1 min read

I automated the first translation pass, URL mapping, validation, and deployment for a 52-page multilingual website. The operational run fell from roughly two weeks of coordination to about two hours, while the direct cost dropped from more than 30,000 SEK to below 1,000 SEK.

Python handled the deterministic work: extracting content, preserving identifiers, mapping language routes, and testing the generated pages. AI produced the translation draft. Human review remained responsible for tone, terminology, and high-risk copy.

The important lesson was not simply that AI translated faster. Separating generative work from deterministic validation made the workflow both faster and easier to inspect. Automated checks caught missing pages, incorrect language routes, and broken references before deployment.

This is a completed automation case, not a general claim that machine translation replaces professional localization. Brand-sensitive, legal, and culturally specific content still requires specialist review.


Published September 19, 2025 | Automated publishing via Slack

Tools Used in This Article

This article mentions several tools from my tech stack.