Does this replace a full accessibility audit?

No. It catches common, machine-detectable issues that AI code generation frequently introduces. A complete audit also needs manual testing with a screen reader and keyboard, which automated checks cannot replace.

Why does AI-generated code often have accessibility problems?

Models optimize for code that looks right and renders, not for assistive technology. They commonly emit div-based buttons, images without alt text, inputs without labels, and color pairs that fail contrast — all invisible on screen but broken for many users.

How is contrast checked?

When you provide foreground and background colors (hex), the tool computes the WCAG contrast ratio and compares it to the 4.5:1 threshold for normal text and 3:1 for large text. It cannot infer colors from CSS files it cannot see.

What is non-semantic markup?

Using generic elements like div or span for things that have a real HTML element — a button, link, heading, or list. Semantic elements carry meaning and keyboard behavior that assistive technology relies on; div soup does not.

Does my content leave the browser?

No. All parsing and checks run locally in your browser, so you can paste unreleased markup safely.

AI Output Accessibility Checker

AI output accessibility checker

AI models are good at producing markup that renders and bad at producing markup that works for everyone. The classic tells: a <div onClick> pretending to be a button, an <img> with no alt, an <input> with no label, and color choices that look fine to the author but fail contrast for low-vision users. This checker parses AI-generated HTML and copy and flags those issues against WCAG 2.1 AA expectations, with the exact element and a fix for each.

How it works

You paste the HTML or component markup. The tool runs a set of detectors: images without alt, clickable div/span without a button role or tabindex, form controls without an associated label, generic markup where a semantic element belongs, missing language attribute, and links with non-descriptive text (“click here”). If you also supply a foreground and background hex color, it computes the WCAG contrast ratio and checks it against the 4.5:1 (normal) and 3:1 (large) thresholds. Each finding cites the relevant criterion. Everything runs locally in the browser.

Tips and limits

Automated checks are a floor, not a ceiling. They find roughly a third of real issues. Always follow with keyboard-only navigation and a screen reader.
Fix semantics first. Replacing <div onClick> with a real <button> fixes focus, keyboard, and role in one move — far better than bolting on ARIA.
Alt text should describe purpose. Decorative images get alt=""; meaningful ones get a concise description of what they convey, not the filename.
Re-check after edits. Accessibility regressions are easy to reintroduce on the next AI-assisted change, so make this part of your review loop.