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eLearning Accessibility Checker

Drop in a SCORM course and scan its HTML for the WCAG and Section 508 issues that fail accessibility audits — missing alt text, unlabeled fields, broken headings, and more.

Drop your SCORM .zip here
or

🔒 Runs entirely in your browser — your package is never uploaded.

What this checks

Why eLearning accessibility matters

Under Section 508, US federal agencies and contractors must meet WCAG 2.0 AA. The European Accessibility Act extends similar duties across the EU, and most enterprise LMS buyers now require WCAG conformance in their contracts. An inaccessible course isn't just a compliance risk — it locks out learners who rely on screen readers, keyboard navigation, or captions.

What automated checking can and can't catch

Automated tools reliably catch the structural failures — missing alt text, unlabeled fields, broken headings — which make up the majority of real-world violations. But they catch only an estimated 30–40% of all WCAG criteria. Things like whether alt text is actually meaningful, whether the reading order makes sense, or whether a colour combination works for a specific user still require human judgement. Use this as a fast first pass, then test with a keyboard and a screen reader before certifying compliance.

Frequently asked questions

Is my course file uploaded anywhere?

No. Everything runs in your browser with JavaScript — the package never leaves your computer.

Which standard does this check against?

The checks map to WCAG 2.1 success criteria (noted on each finding), which is the basis for both Section 508 and the European Accessibility Act.

Why is colour contrast only "best-effort"?

Accurate contrast checking requires rendering the page to know the actual computed colours. This tool reads inline color and background-color styles where both are explicitly set — it will catch obvious failures but can't see colours that come from external CSS or images. Always confirm contrast visually.

Does it work on non-SCORM HTML courses?

Yes. It scans every HTML file in the zip, so any web-based course package works — SCORM, xAPI, cmi5, or plain HTML.