Utilizing the power of AI, this approach brings efficiency and sophistication to accessibility testing that was unattainable previously. It is not just a trend but a transformation that is making digital products more inclusive. Let’s take a close look at some of the key aspects of AI-powered accessibility testing:

• AI assists in automating the testing process by automatically identifying accessibility issues. The issues could be missing alt text for images, wrong color coding, insufficient color contract, improper use of Accessible Rich Internet Applications roles, etc.
• Natural Language Processing (NLP) enables businesses to analyze the text of their app or website for clarity and readability issues. It also ensures that the content is readable and understandable for cognitive-disabled users. Businesses can ensure that their product follows proper text structure and format guidelines.
• Computer vision allows businesses to analyze images and videos to ensure content readiness. It ensures they have appropriate captions, descriptions, and alt text, and the visual content is accessible to all users, including those with visual impairments.
• Businesses can utilize AI-powered voice recognition systems to assess the accessibility of integrated voice interfaces. It ensures that the products are accessible to users with hearing or speech impairments.
• Integrating AI with product development and testing can help predict potential accessibility issues. This involves assessing user interactions, identifying accessibility problems, and offering improvement suggestions.