Adobe unveils 'Inclusive Type', AI-driven typography adjustments for legibility

AI · 5 min read

Inclusive Type uses on-device and cloud models to evaluate contrast, spacing, x-height, line length, and character differentiation, then proposes typographic variants tailored to different accessibility profiles (low vision, dyslexia-friendly, cognitive clarity). Designers can preview how a body of text will render under each profile and accept suggestions as new type tokens in their design system.

The tool also creates responsive rules—for instance, increasing spacing and switching to a dyslexia-friendly font at smaller viewports or when user preferences are detected—and generates a report mapping suggested tokens to WCAG criteria. Adobe emphasized that models are trained on anonymized typographic datasets and include expert input from reading specialists and assistive-technology vendors.

Early testers noted Inclusive Type speeds accessible experimentation: one content designer said it cuts what used to be manual typographic rounds into a few clicks, while accessibility leads appreciated the exportable token sets that feed both CSS variables and design-system registries. Adobe plans to add a user-testing module that captures task performance on generated variants to close the loop between automated suggestions and real-world outcomes.