Wave Accessibility Evaluator

Wave Accessibility Evaluator analyzes a web page to identify accessibility issues across WCAG criteria, including color contrast, keyboard operability, semantic HTML, and ARIA usage. It computes an overall accessibility score and returns a structured findings set that highlights affected elements, violated criteria, and potential impact on users with disabilities. It is designed for developers, QA engineers, accessibility researchers, and product teams who need repeatable checks during development and pre-release audits.
Conceptually, the tool performs automated checks by parsing the DOM, measuring color contrast with relative luminance formulas, and validating focus order and tab traps. It analyzes semantic tags, ARIA roles, and landmark regions, then maps each finding to corresponding WCAG techniques. Outputs include a per-issue description, WCAG reference, severity, sample selectors, and recommended fixes. It supports configurable scopes (single page or site-wide) and multiple locales for reporting.
Who benefits: frontend developers, accessibility engineers, QA teams, UX researchers, and compliance managers who require objective, scalable assessments. Unique value: a compact, automated evaluation that combines structural analysis, visual contrast checks, and ARIA validation with exportable reports suitable for dashboards, ticketing, and CI pipelines.
Core features & use cases: URL input with optional authentication-aware testing, batch evaluation for multiple pages, customizable WCAG level targets (A/AA/AAA), batch filters by impact, and API or file export. Use cases include quick page checks during code reviews, site-wide accessibility sweeps, integration into CI workflows, and generation of audit-ready artifacts for stakeholders.