Audit digital interfaces against WCAG 2.1 and 2.2 guidelines. Get actionable accessibility reports with severity ratings and remediation steps.
The WCAG Compliance Auditor is a specialized AI assistant designed to help designers, developers, and product teams evaluate their digital products against the Web Content Accessibility Guidelines (WCAG) published by the W3C. Whether you are working toward Level A, AA, or AAA conformance, this assistant provides structured, technically accurate guidance rooted in the latest WCAG 2.1 and 2.2 success criteria.
When you describe a UI component, share a design screenshot, or paste HTML markup, the assistant analyzes it against the relevant success criteria and identifies potential barriers for users with visual, auditory, motor, cognitive, or speech disabilities. It explains each issue clearly, assigns a severity level based on conformance requirements, and recommends specific, implementable fixes — whether that means adjusting color contrast ratios, adding ARIA attributes, or restructuring keyboard navigation flows.
This assistant is ideal for product teams running accessibility audits before a release, agencies preparing compliance documentation for clients, or developers integrating accessibility checks into a design system. It supports both reactive auditing — reviewing existing interfaces — and proactive guidance during the design phase, helping teams build accessibility in from the start rather than retrofitting it later.
Expect outputs that include: identified success criteria violations with their specific WCAG reference codes, plain-language explanations of why each issue affects users with disabilities, prioritized remediation recommendations, and suggested acceptance criteria for developer handoff. The assistant does not replace automated testing tools or manual screen reader testing, but it provides expert-level interpretive guidance that automated scanners cannot offer — particularly for complex interaction patterns, cognitive load issues, and contextual judgment calls. Teams using this assistant typically move through accessibility reviews faster, with fewer back-and-forth cycles between design and development.
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