Is my image accessible? Upload a photo to check contrast, text readability, color accessibility, and get WCAG alt-text suggestions.
Choose the type of analysis you want to perform on your image.
Select the AI vision model for analysis.
PNG, JPG or GIF files supported. You can upload multiple images.
Accessibility Analysis is an AI tool that evaluates images and interfaces for accessibility compliance, checking contrast ratios, text readability, color accessibility, and generating optimized alt text suggestions. The tool helps ensure that digital content is usable by people with disabilities, including those with visual impairments, color blindness, and other accessibility needs. Accessibility analysis requires understanding WCAG (Web Content Accessibility Guidelines) standards, color contrast requirements, text readability principles, and how people with disabilities interact with digital content. This tool combines knowledge of accessibility standards, color theory, typography, and assistive technologies to provide comprehensive accessibility evaluation. It can analyze everything from website screenshots to infographics, from app interfaces to social media images, helping you create content that's accessible to everyone. The analysis identifies specific accessibility barriers and provides actionable recommendations for meeting accessibility standards.
Upload an image or interface screenshot and the AI examines accessibility aspects including contrast ratio evaluation (measuring color contrast between text and backgrounds to ensure readability, checking against WCAG AA and AAA standards), text readability (assessing font size, weight, spacing, and clarity to ensure text is readable), color accessibility (evaluating whether information conveyed through color is also available through other means, checking for colorblind accessibility), alt text generation (creating descriptive, meaningful alt text that accurately describes image content for screen readers), keyboard navigation assessment (evaluating whether interactive elements are accessible via keyboard), and overall accessibility compliance (providing scores and identifying specific barriers to accessibility). The analysis provides detailed scores for each aspect (0-10) and an overall accessibility score (0-100), identifies specific accessibility issues, suggests improvements, and offers actionable recommendations for meeting WCAG standards. Each recommendation is specific and actionable, helping you understand not just what needs improvement, but how to make content accessible.
Upload it and you get scores on the things that decide accessibility: contrast between text and background, text readability, and whether color alone carries meaning, rolled into an overall score out of 100. The report then suggests alt text and lists the specific fixes, ordered by how much each one matters.
It examines the visible relationships in the image: how strongly text separates from what is behind it, whether the font size and weight survive shrinking, and whether information distinguished only by hue would vanish for colorblind viewers. Each area gets a 0-10 score, so you can see exactly which component drags the total down.
Yes, it generates a suggested alt text that describes the image's content and function the way a screen reader user needs: what the image shows and why it is there, without 'image of' padding. Review it before shipping, since you know the image's role in your page context better than any analyzer.
No, it is a visual-layer check. It evaluates what is observable in a static image (contrast, readability, color reliance) but cannot test keyboard navigation, focus order, ARIA markup, or screen reader behavior in your actual code. Use it to catch visual barriers early, then run a proper audit on the live interface.
Anything users must read or interpret: interface screenshots, infographics, social graphics with text, charts, banner images, email headers. Decorative photos matter less, though they still need empty or brief alt attributes. Infographics are the highest-value target, since they pack dense meaning into exactly the visual patterns that exclude people.
Dedicated contrast checkers compute mathematical ratios from exact pixel values; this tool estimates from the rendered image, which is faster but approximate, and screenshot compression can shift colors slightly. Treat scores within a point or two as equivalent. For legally sensitive work, confirm borderline contrast pairs with an exact-ratio checker.
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