TokenBridge: AI-powered translator unifies accessibility tokens across platforms

AI · 6 min read

TokenBridge uses a machine learning model trained on token mappings from hundreds of design systems to propose translations between platforms like Figma, SwiftUI, and Android Compose. It focuses on preserving semantic intent—roles like primary-action, error, and emphasis—rather than literal color values.

When translating color tokens, TokenBridge simulates contrast outcomes and suggests alternative tokens if a direct translation would violate accessibility thresholds. For motion tokens it maps duration and easing to platform-appropriate equivalents and flags where a translation could reduce readability or cause vestibular triggers.

Teams using TokenBridge report faster cross-platform launches and fewer accessibility regressions during porting. The tool outputs a migration plan with recommended token renames, fallbacks, and automated tests that can be inserted into CI pipelines for verification.

Adopters caution that AI proposals still need human review, particularly for culturally sensitive elements. But for engineering and design teams facing multi-platform fragmentation, TokenBridge offers a pragmatic way to keep accessibility semantics intact during migrations.