How AI is changing design-stage localization

Design-stage localization integrates translation into the early phases of the design and development cycle, allowing teams to work collaboratively and avoid delays caused by traditional, sequential workflows. By incorporating AI, translations can be generated almost instantly, enabling designers to test layouts in multiple languages within tools like Figma before any code is written, thereby reducing the need for costly reworks. AI uses context-aware translation to ensure consistency with brand standards and to optimize for design constraints, while translation scoring systems prioritize human review where necessary, allowing linguists to focus on high-value content. This approach not only keeps localization synchronized with product development but also optimizes the balance between speed, cost, and quality, aided by platforms like Lokalise that streamline the process through intelligent LLM routing and integration with design and development tools.

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