Case study: Accessibility‑first redesign of an AI image generator changed artist workflows

AI · 6 min read

ArtForge, an AI image generator used by freelance illustrators, found that its interface — heavy on freeform gestures and tiny modal controls — excluded artists with motor and vision impairments. The redesign centered accessibility: larger touch targets, keyboard/control bindings, and deterministic edit history so users could reproduce or tweak past prompts precisely.

Designers worked with accessibility consultants and three professional artists with disabilities over eight weeks to co‑create new patterns. They replaced gesture‑only sliders with labeled numeric controls, introduced explicit 'step backward' deterministic operations, and surfaced a reproducible prompt log export. They also added voice guidance for key actions and improved color contrast in the canvas UI.

Adoption among the target artists increased quickly: 67% of participants integrated ArtForge into their pipelines within a month, citing the reproducible prompt logs as particularly valuable for client work. ArtForge's changes also led to wider benefits: general users appreciated the precision controls and version history, improving overall satisfaction scores. The case demonstrates that accessibility‑first design can expand product reach and make outputs more reliable for professional workflows.