Remediate Alt Text using AI

How does All in One Accessibility utilize AI to remediate alt-text for images and non-text content? AI powered alt-text remediation typically involves following steps - Image recognition, text extraction, object and scene descriptions, natural language processing (NLP), quality assessment, integration with content, manual review and editing, and bulk processing.
What types of images and content can be remediated with the All in One Accessibility solution with AI? AI driven alt-text remediation can be effective for a wide range of images and non-text content, including:
  • Photographs: AI can describe the content of photographs, including scenes, objects, people, and activities.
  • Graphics and Diagrams: AI can analyze graphics and diagrams to provide descriptions of shapes, lines, colors, and the relationships between elements.
  • Charts and Graphs: AI can generate alt text conveying the data and trends in charts and graphs.
  • Logos and Icons: AI can identify and describe logos, icons, and symbols commonly used on websites and applications.
  • Product Images: Ecommerce websites can benefit from AI-generated alt text for product images, describing products, features, and details.
  • Infographics: AI analyzes and describes the content and structure of infographics, making them more accessible to users with visual impairments.
  • Text within Images: AI can extract and provide alt text for text elements within images, such as signs, posters, or documents.
  • Artwork and Illustrations: AI offers descriptions of artistic works, illustrations, and paintings.
  • Screenshots: Alt text can be generated for screenshots, providing context for the captured content.
  • Memes and Internet Culture: AI describes memes and images of Internet culture, enabling users to understand their humor or cultural significance.
  • Animations and GIFs: While more challenging, some AI systems can generate alt text for animations and GIFs, describing their content and purpose.