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AI-Powered · IT & Accessibility Tool

Free AI WCAG 2.1 Accessibility Audit Tool

Paste your student portal URL and HTML — AI analyses it against WCAG 2.1 Level AA criteria, returns a severity-ranked issue list grouped by colour contrast, ARIA labels, keyboard navigation, and alt text, and generates code-level fix guidance with effort estimates for your developer sprint.

AI-generated output · Free account required · Results may vary

WCAG — Web Content Accessibility Guidelines 2.1 Level AA — compliance is legally required for higher education institutions under the ADA, Section 508, and equivalent international standards. IT teams and accessibility officers enter their portal URL, select their platform, and optionally paste relevant HTML. The AI analyses inputs against axe-core-aligned issue categories, ranks findings by severity and legal risk, and outputs a prioritised remediation report with WCAG criterion references and corrected code snippets.

Portal URL & Page Context
HTML / Component Code to Audit recommended

Paste the HTML source of the page or component you want audited. Include navigation, form elements, and dynamic controls. The AI will provide code-level fix guidance — without this, the audit will be based on URL context and platform knowledge only.

0 characters · ~0 tokens · paste HTML for code-level guidance
Audit Focus
Additional Context optional
~12 credits · ~3,000 tokens scales with HTML pasted

AI-generated content. Review before use — outputs may contain errors or require adjustments for your specific context.

Your WCAG audit report appears here Enter your portal URL — paste HTML for code-level fix guidance. Audits without HTML use URL context and platform knowledge.

How to Audit WCAG Compliance in 3 Steps

Follow these steps to get results in under a minute

01
Enter your portal URL and context
Paste your student portal URL, select the page type and platform — add relevant HTML source code for code-level fix guidance and accurate criterion mapping.
02
Run the WCAG 2.1 AA audit
Click Run WCAG Audit — the AI analyses your inputs against WCAG 2.1 AA criteria and axe-core issue categories, ranking every finding by severity and legal risk.
03
Download the remediation report
Export a full PDF with WCAG criterion references, code-level fix examples, effort estimates, and a prioritised remediation roadmap for your developer sprint.
Common Questions

Free AI WCAG Accessibility Audit Tool — FAQ

What is WCAG and why does it matter for university portals?
WCAG — Web Content Accessibility Guidelines — is the international standard for digital accessibility, published by the W3C. WCAG 2.1 Level AA is the benchmark required by the ADA, Section 508, and the UK Equality Act for higher education institutions. Non-compliance exposes universities to OCR complaints, federal funding risk, and class-action litigation. A WCAG accessibility audit identifies which criteria your student portal fails and what code changes fix them.
How do I use the WCAG Accessibility Audit Tool?
Enter your student portal or institutional website URL, select the page type and framework, and optionally paste relevant HTML or component code. Click Run WCAG Audit — the AI analyses your inputs against WCAG 2.1 AA criteria, returns a severity-ranked issue list grouped by category (colour contrast, ARIA labels, keyboard navigation, alt text), and generates code-level remediation guidance with effort estimates.
Is this WCAG Accessibility Audit Tool free?
Yes. Free accounts receive 100 AI credits on sign-up and each audit uses 12 credits — giving you 8 full accessibility audits at no cost.
Who should use this WCAG Accessibility Audit Tool?
IT Directors, Web Developers, CIOs, and Accessibility Officers at higher education institutions who need to audit their student portal, admissions website, or institutional LMS against WCAG 2.1 AA compliance requirements — particularly before an OCR review, accreditation cycle, or platform migration.
How do I export results from the WCAG Accessibility Audit Tool?
After the audit, click Download PDF to save a full remediation report with issue list, WCAG criterion references, code-level fix guidance, and effort estimates — or Copy to paste the full report into a developer ticket, sprint backlog, or accessibility compliance log.

How AI WCAG Accessibility Audit Tool Compares

vs spreadsheets, manual processes, and paid platforms

Feature UniCloud360 AI WCAG Accessibility Audit Tool Manual audit / spreadsheetAccessibility consultantWAVE / axe automated checker
WCAG 2.1 AA issue identification AI identifies issues with WCAG criterion references and severity ranking ⚠️ Manual audit requires expert knowledge of all 78 WCAG 2.1 AA criteria Consultant audits manually — at $150–$400/hr ⚠️ WAVE/axe finds automated detectable issues only (~30% of WCAG criteria)
Code-level fix guidance Provides corrected code snippets for each issue when HTML is pasted Manual audit identifies issues but fix guidance must be researched separately Consultant provides fix guidance — at additional hourly cost WAVE/axe flags issues but provides reference links, not corrected code
Legal risk assessment Flags ADA / Section 508 / OCR risk by issue severity ⚠️ Manual audit notes legal risk but rarely quantifies it for leadership Consultant includes legal risk assessment — at premium engagement rates Automated checkers do not assess legal risk or provide compliance context
Effort estimates for remediation Per-issue effort hours for developer sprint planning No effort estimates — must be scoped separately Consultant provides effort estimates — part of engagement deliverable Automated checkers do not provide effort estimates
Prioritised remediation roadmap Immediate, short-term, and long-term actions with rationale ⚠️ Manual audit produces issues list — prioritisation requires separate work Consultant delivers a roadmap — weeks to receive, at day rate Automated checkers produce issue lists, not prioritised roadmaps
Free to use Free account, 12 credits per audit Significant internal time — full manual WCAG audit takes 20–80 hours Accessibility consultant: $2,000–$15,000+ per engagement ⚠️ WAVE is free; axe DevTools Pro is $40–$400/mo — neither provides fix code

What Higher Ed IT & Accessibility Teams Say

Trusted by lecturers and students across Sri Lankan universities

4.8
★★★★★
193 ratings
SK
Sandra Kowalczyk
Director of Web Services
★★★★★

"We used this to pre-audit our new student portal before our official VPAT review and the AI flagged 14 issues our developer had missed — including a keyboard trap on the course registration modal and missing ARIA labels on our dynamic filter controls. Having the WCAG criterion number and the corrected code snippet for each issue saved our developer roughly two days of research. Absolutely essential for any HE IT team launching or updating a portal."

EO
Emmanuel Oduya
Accessibility Officer
★★★★★

"I've used WAVE, axe DevTools, and paid accessibility consultants. This tool sits between a basic automated checker and a full manual audit — it catches what automated tools miss because it understands the context of higher education portals specifically. The legal risk note was particularly useful for framing the urgency with our VP. We used the PDF report directly in our OCR response documentation."

LM
Laila Mansouri
IT Project Manager
★★★★☆

"We pasted our login page HTML and the AI identified three colour contrast failures we had inherited from our vendor's default theme. The suggested CSS fixes with exact hex values were immediately actionable. I sent the report straight to our front-end contractor with no translation needed — it was written at exactly the right level of technical detail for a developer who isn't an accessibility specialist."

TH
Tom Henricksen
Chief Information Officer
★★★★★

"After receiving a complaint under Section 508, our legal team needed a documented remediation plan within 48 hours. I ran our financial aid portal through this tool, got a prioritised issue list with WCAG references and fix estimates, and had a credible remediation document for counsel in under two hours. The estimated effort hours per issue were accurate enough to build a developer sprint plan directly from the report."

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