YuJa introduces new AI-Powered PDF accessibility tool for educators
YuJa, Inc. has launched PDF Remediation Max, an AI-powered add-on for its YuJa Panorama Digital Accessibility Platform. The tool is designed to enhance the PDF accessibility functions provided by the existing PDF Remediation Engine, offering advanced capabilities to manage complex accessibility issues in PDF documents.
The new add-on, PDF Remediation Max, includes features that improve accessibility by addressing structural remediation, missing alt text, heading structures, contrast, tagging, and titles. It integrates directly with learning management systems, facilitating a streamlined workflow for educators and reducing the manual efforts required to achieve compliance with accessibility standards.
Several educational institutions have adopted PDF Remediation Max to enhance their digital resources. These include Southwestern Law School, Central New Mexico Community College, Macalester College, the University of Manitoba, and Coastal Carolina. By incorporating this tool, these institutions aim to address the accessibility challenges commonly associated with PDF documents used in educational settings.
Nathan Arora, Chief Business Officer at YuJa commented on the necessity of improving PDF accessibility, noting the widespread use of PDFs due to their format independence and compact file sizes.
He stated:
“Everyone knows that PDF is king when it comes to minimizing certain issues in documents, which is why it’s the world’s most popular business document format. It’s platform-independent, offers smaller file sizes for easy storage, transfer and downloading, and PDFs maintain formatting.
“But, they’re notoriously non-compliant when it comes to accessibility standards, often lacking things like structure, tagging, and providing complex layouts and non-text content. PDF Remediation Max was designed to solve these problems so instructors can focus on teaching with confidence that their PDFs are accessible to all learners.”
