AI Accessibility Audit Helper

Get AI-assisted accessibility analysis with WCAG references, implementation ideas, and testing considerations

New to accessibility audits? Read the step-by-step WCAG audit guide or learn how AI-assisted audits work.

Accessibility issue analysis workspace

Describe Your Accessibility Issue

Provide details about your accessibility challenge and get a structured AI-assisted review
Paste relevant HTML/CSS/JS code

AI-Assisted Analysis

Structured against WCAG-oriented prompts

Code Solutions

Practical code examples and guides

WCAG References

Verify relevant criteria and test requirements

Ready to Analyze

Describe your accessibility issue above and get an AI-assisted review with detailed recommendations to verify.

2 free trials available

What the Audit Helper Does

The audit helper turns a described accessibility problem into a structured write-up. You give it a description of the issue, an optional code snippet, and the technology and component involved; a hosted language model returns a bug-ticket style analysis with a title, a severity, the current and expected behaviour, the effect on users, the WCAG success criteria involved, a recommended fix with example code, ordered implementation steps, a testing checklist, and links to further reading.

The response streams in as it is written, so you see the sections complete one by one, and it falls back to a single request if streaming fails. The server checks that every required section is present and that the severity is one of critical, high, medium, or low before returning it; a missing severity defaults to medium.

How to Use It

  1. Describe the issue as a user experienced it. “Screen reader users hear ‘button’ for every icon in the toolbar” gives the model the symptom, the audience, and the component in one sentence.
  2. Paste the relevant code. With a snippet, the model reviews your actual markup and returns a corrected version. Without one, it explains the pattern from semantic HTML up to the ARIA needed and offers more than one approach.
  3. Choose the stack and component type. Both are optional but they shape the example code, so a React team gets JSX and a WordPress team gets PHP templates and plain HTML.
  4. Run the analysis and verify it. Read the WCAG section against the linked criterion pages, apply the fix, then work through the testing checklist before you close the ticket.

What the Analysis Covers and Its WCAG 2.2 References

The model is prompted to name each criterion by number and title, state its level, and explain why it applies to your issue, and to write the testing checklist around the things automated tools miss: screen reader behaviour, keyboard operation, 200 percent zoom, voice control, and mobile screen readers. The criteria that come up most often for the component types in the form are:

WCAG 2.2 has 86 success criteria, and the model can reference any of them. The site's criterion pages give you the normative text to check its reasoning against.

What It Cannot Do

The helper never sees your page. It cannot confirm that the issue you describe actually exists, cannot find issues you did not mention, and cannot test the fix it proposes. Its severity rating is the model's reading of your description, not a measurement, so two differently worded reports of the same bug can come back with different severities. Its links are constructed from the criterion and pattern names it chooses, and occasionally point at a slug that does not exist.

An analysis is not an audit finding until a person has confirmed it

Reproduce the issue with the assistive technology named in the report, apply the fix, and run the testing checklist yourself. If the write-up is going into a formal report or an accessibility statement, cross-check each criterion against the WCAG 2.2 checklist and follow the audit methodology guide for the parts of the page the helper never looked at.

Reading the Output

The first card is the ticket: a plain title, a severity badge, the user impact as a subtitle, and side-by-side Current Problem and Expected Solution boxes you can paste into an issue tracker. WCAG Criteria and Review Requirements lists each criterion with its level and the reason it applies. Review Recommendations is the narrative fix, and Code Solution, when present, is the corrected markup with a copy button.

Implementation Steps is an ordered list you can hand to a developer, and Testing Checklist is the acceptance criteria: use it to decide when the fix is done, not just whether it was attempted. Related Resources closes with the external reading the model chose. Your remaining credit balance and, for guests, your remaining trial uses are shown above the form once an analysis completes.

Frequently Asked Questions

How is this different from the URL Accessibility Auditor?

The URL auditor loads a live page and runs axe-core against it, so it finds issues you did not know about but only the ones an automated rule can detect. The audit helper starts from an issue you already know about, described in words and optionally code, and explains it: which criteria apply, who it affects, how to fix it, and how to test the fix. Use the auditor to find, and the helper to understand and resolve.

What should I put in the issue description?

Describe what a user tried to do, what happened, and what you expected. Name the assistive technology if you know it, for example NVDA with Firefox or VoiceOver on iOS. Paste the smallest code snippet that reproduces the problem rather than a whole page, and pick the tech stack and component type so the fix comes back in the right idiom. Vague descriptions produce generic answers.

Are the WCAG references and links reliable?

Mostly, but verify them. The model is asked to cite criteria in the form '1.4.3 Contrast (Minimum)' with a level, and to link to the W3C Understanding documents and ARIA Authoring Practices patterns, but it fills in those slugs itself. Check every criterion number against the site's WCAG pages and follow each link before quoting it in a report.

Can it audit my whole site or a URL?

No. It never fetches a page. It reasons only from the text and code you paste, which is what makes it useful for issues on pages behind a login or in components that are not deployed yet, and useless for discovering issues you have not described.

How much does an analysis cost?

One credit per analysis for signed-in users. Guests get a small number of free analyses from the shared daily allowance before they need to sign in. Unlimited access accounts are not charged and can choose which model runs the analysis.

Essential Accessibility Resources

Comprehensive tools, checklists, and guides to help you create inclusive digital experiences

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