Case Study: AI-Assisted Alt Text Generation for Web Accessibility Compliance

Aug 04 2026
Image representing AI-Assisted Alt Text Generation

Overview

As publishers continue to produce increasing volumes of digital publications, accessibility will become an essential part of modern publishing. Journals, eBooks, educational resources, research articles, and other digital publications will contain thousands of images, figures, charts, diagrams, and illustrations that require meaningful alternative text to support readers using assistive technologies.

Creating accurate alternative text for every visual element manually may become increasingly challenging as publication volumes grow. Publishers will require an efficient approach that supports accessibility while maintaining production quality and publishing timelines.

The Challenge

Visual content plays an important role in communicating research findings, educational information, and technical concepts. As the amount of digital content continues to increase, publishers may face challenges such as:

  • Creating meaningful alternative text for large volumes of images and illustrations.

  • Maintaining consistency across multiple journals, books, and digital publications.

  • Integrating accessibility into existing editorial and production workflows.

  • Supporting accessibility requirements without extending publication schedules.

  • Preparing digital publications for readers using screen readers and other assistive technologies.

Without a structured accessibility workflow, maintaining publishing quality and accessibility standards may become increasingly difficult as publication volumes continue to grow.

Our Solution

Kryon Publishing Services will help publishers integrate AI-assisted alt text generation into their publishing workflow, making accessibility an integral part of content production rather than a separate activity.

By combining artificial intelligence with publishing expertise, the solution will help generate meaningful image descriptions while supporting editorial validation before publication. This approach will help publishers improve efficiency, maintain consistency, and prepare accessibility-ready digital publications.

Key Solution Capabilities

  • AI-Assisted Image Analysis Artificial intelligence will analyze images, figures, charts, diagrams, tables, and illustrations to generate descriptive alternative text that accurately represents the visual content.

  • Editorial Validation Editorial or production teams will review AI-generated descriptions to ensure they are contextually accurate, meaningful, and suitable for publication.

  • Workflow Integration Alt text generation will be incorporated into existing editorial and production workflows, allowing accessibility to become part of the standard publishing process.

  • Multi-Format Publishing Support Accessibility features, including alternative text, will be prepared for digital publishing formats such as EPUB, HTML, XML, and accessible PDF, helping publishers deliver accessible content across multiple platforms and devices.

  • Quality Assurance Accessibility checks will be performed before publication to verify that image descriptions are complete, consistent, and aligned with publisher requirements and accessibility guidelines.

Business Impact

By implementing AI-assisted alt text generation, publishers will be able to:

  • Improve production efficiency by reducing repetitive manual tasks.

  • Deliver accessibility-ready journals, books, and digital publications.

  • Maintain consistency across large publishing programs.

  • Improve the reading experience for users of assistive technologies.

  • Support WCAG 2.2 and EPUB Accessibility requirements.

  • Reduce production bottlenecks while maintaining publishing quality.

  • Deliver inclusive digital content to a broader audience.

Future Readiness

As accessibility standards continue to evolve, publishers will require scalable workflows that can support growing publication volumes without increasing production complexity. AI-assisted accessibility solutions will help organizations integrate accessibility into everyday publishing processes while supporting future digital publishing requirements.

Conclusion

Accessible publishing will continue to play an important role in delivering high-quality digital content to a diverse audience.

Kryon Publishing Services will help publishers implement AI-assisted alt text generation as part of their editorial and production workflows, enabling the creation of accessible, compliant, and publication-ready digital content while maintaining efficiency and publishing quality.

Frequently Asked Questions

What is AI-assisted alt text generation?

AI-assisted alt text generation uses artificial intelligence to create descriptive text for images, figures, charts, diagrams, and illustrations, making digital publications more accessible for readers who use screen readers and other assistive technologies.

Why is alternative text important in digital publishing?

Alternative text helps readers with visual impairments understand the purpose and meaning of visual content while supporting accessibility standards such as WCAG 2.2 and EPUB Accessibility.

Which publications can benefit from AI-assisted alt text generation?

Medical journals, scientific publications, academic books, educational materials, technical documentation, eBooks, magazines, and other digital publications containing visual content can benefit from AI-assisted alt text generation.

Will AI-generated alternative text replace editorial review?

No. AI will generate initial image descriptions, while editorial or production teams will review and refine the content to ensure it is accurate, meaningful, and appropriate for the publication.

How will Kryon Publishing Services support accessible publishing?

Kryon Publishing Services will help publishers integrate AI-assisted alt text generation into their editorial and production workflows, enabling the production of accessibility-ready digital publications while supporting WCAG 2.2 and EPUB Accessibility requirements.