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

Manual website translation workflows are expensive and time-consuming. I recently automated the entire process for translating 52 pages across multiple languages, reducing project time from 2 weeks to 2 hours while dramatically cutting costs. This case study is part of my coverage of developer productivity and tooling — showing how Python and AI can revolutionize workflows. For more on data engineering and automation, explore my complete portfolio. The challenge was ensuring each translated page appeared on the correct URL with proper language targeting. My Python automation solution combines AI translation with automated testing to verify language-URL mapping accuracy. The old workflow involved sending content to translation agencies, manual proofreading, and manual publishing - a cycle costing thousands and taking weeks. The new automated system uses AI for initial translation, Python scripts for quality assurance, and automated deployment. This eliminated human error in URL mapping while maintaining translation quality. The cost difference is dramatic: what previously cost 30,000 SEK+ and 2 weeks now costs under 1,000 SEK and completes in 2 hours. Key benefits include zero URL mapping errors, consistent translation quality, instant deployment, and 97% cost reduction. This transformation shows how combining AI with smart automation can revolutionize traditionally manual processes in web development and localization.

Published September 19, 2025 | Automated publishing via Slack