Automated Accessibility Testing: WCAG 2.2 and Section 508

This page leads with the caveat because it's the most important thing to know before relying on any automated accessibility tool, including this one: automated scanning reliably catches programmatically detectable issues, but a meaningful share of WCAG success criteria require human judgment. Treat what follows as a strong first pass, not a substitute for a manual audit.

What automated scanning catches well

• Color contrast ratios below WCAG thresholds.
• Missing or empty alt attributes on images.
• Unlabeled or mislabeled form fields.
• Invalid or misused ARIA attributes.
• Missing document language, heading structure problems, and other programmatically detectable markup issues.

What still needs a human

Whether alt text actually describes an image usefully (versus being technically present but unhelpful), meaningful reading and focus order, whether a keyboard-only user can actually complete a task without a mouse in practice, and cognitive-load or plain-language concerns are judgment calls that automated tools cannot reliably make. Testing with actual assistive technology — a screen reader, in particular — surfaces problems that a static scan does not.

What the platform covers

WCAG 2.2 Level A, AA, and AAA compliance scanning, and Section 508 compliance scanning for U.S. federal government requirements, both powered by the axe-core accessibility engine — the same open-source engine used across much of the accessibility tooling industry, rather than a proprietary black box. AI adds natural-language explanations of each finding, copy-paste-ready code fix suggestions, and priority-ranked remediation plans based on user impact, on top of the underlying axe-core results.

• AI-enhanced remediation guidance with natural-language explanations and code fix suggestions.
• Automated issue categorization by impact and severity.
• Screen reader compatibility checks.
• Color contrast analysis and keyboard navigation validation.
• Compliance progress tracking over time.

Section 508 for federal and public-facing applications

The Section 508 scanning module targets the U.S. federal requirement for public-facing government applications. As with any automated accessibility tool, pairing it with a manual accessibility audit — ideally including testers who use assistive technology day to day — is standard practice before an Authorization to Operate or a public launch, not something specific to this platform.

A concrete example of the automated/manual split

A scan will reliably flag a form input with no associated label — that's a structural, programmatically detectable problem. It will not reliably tell you whether the error message shown when that field fails validation is announced to a screen reader user at the right moment, in a way that makes sense in context — that requires someone to actually navigate the flow with a screen reader. Both matter for an accessible experience; only the first is something an automated tool can promise to catch consistently.

Priority-ranked remediation in practice

Not every finding carries equal urgency, and treating them all the same tends to produce a backlog nobody works through. Priority-ranked remediation plans order findings by user impact — a missing skip-navigation link on a page with 40 interactive elements matters more than a slightly-off contrast ratio on a decorative element — so a team with limited remediation time can address the highest-impact issues first rather than working through a flat, unordered list.

Where this fits with the rest of QA

Accessibility scans run through the same CI/CD integration as functional and security tests, so a regression (a new component shipped without an accessible label, for example) can be caught on the same pull request rather than discovered later in a separate audit cycle.

Tracking progress over time, not just a single scan

Compliance progress tracking matters because accessibility work is rarely finished in one pass — it's a backlog that gets worked down over successive releases. Seeing the trend (issue count and severity mix going down release over release) is a more honest signal of whether a team's accessibility effort is working than a single scan's pass/fail count, especially on a large, actively developed application where new components are shipping continuously alongside remediation of older ones.

Keyboard navigation and color contrast, specifically

Two checks are worth calling out because they catch a disproportionate share of real-world accessibility complaints: keyboard navigation validation, which confirms every interactive element can be reached and activated without a mouse, in a sensible order; and color contrast analysis, which checks text and interactive elements against WCAG's minimum contrast ratios so content remains legible for users with low vision or in bright ambient light. Both are the kind of issue that's invisible to a sighted developer testing with a mouse in a dim office, and exactly why an automated scan run on every build is more reliable than hoping someone notices during manual testing.