Can Jarvis Check Color Contrast and Accessibility of a Design?

Partly. Jarvis (getjarvis.eu) can look at a design on your screen and give a qualitative accessibility read, flagging text that looks too low-contrast, too small, or hard to read. Press Cmd+/ on macOS or Ctrl+/ on Windows and ask "are there contrast or accessibility problems here?" Using vision models like frontier models from Anthropic, OpenAI, and Google, it spots likely WCAG issues, light-gray text on white, tiny captions, color used as the only signal, and explains them. It is not a precise contrast-ratio calculator; for exact WCAG numbers use a dedicated tool. It works on designs in Figma or any rendered UI. Jarvis is a screen-aware desktop assistant; free to start, then $16/month, GDPR-aligned, and never trains on your designs.

Jarvis is good at the accessibility issues a human reviewer would notice by eye. It flags text that's likely below comfortable contrast, font sizes that seem too small for body copy, touch targets that look cramped, and places where meaning relies on color alone, like a red-vs-green status with no icon or label. It can also note missing visible labels on form fields and link text that just says "click here." For a quick first-pass accessibility sweep on a screen, this surfaces the obvious problems fast so you can fix them before a formal audit.

Honesty matters here: WCAG contrast is a numeric ratio (like 4.5:1 for normal text), and Jarvis estimates from the rendered image rather than computing exact hex-to-hex math, so it can say "this looks too low" but not certify a precise ratio. For compliance sign-off, pair Jarvis's qualitative pass with a dedicated contrast checker or your design tool's built-in plugin. Think of Jarvis as the reviewer who flags suspects quickly, and the measurement tool as the one that confirms the exact numbers. Used together they're faster than either alone.

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Screen-aware AI