AI-Powered Structural Remediation

Structural Remediation Max Automates PDF Accessibility

YuJa Structural Remediation Max uses a blend of intelligent automation and human-centric review to help transform even the most complex PDFs into WCAG-aligned, fully structured, accessible documents.

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WCAG 2.2 Aligned

Advanced AI Solutions to Reduce Complex Accessibility Compliance Risk

Structural Remediation Max uses advanced AI to detect and repair complex PDF accessibility issues, eliminating hours of manual remediation work. From scanned documents to malformed files, our AI-powered engine handles structural tagging, reading order optimization, and semantic markup instantly.

Remediation Capabilities

Smart Structuring Tools for Fully Accessible Content

Our tools provide an advanced suite of remediation capabilities designed to enhance document accessibility, structure, and readability, empowering institutions to deliver compliant, user-friendly content at scale with significantly reduced manual effort.

Auto-Regenerate Documents

Instantly Regenerate Document Structure

AI automatically regenerates your entire document structure in one click, helping ensure screen readers can access content in the correct reading order. Advanced zone detection handles complex layouts, multi-column designs, and nested content to eliminate hours of manual tagging.

AI Alt Text

Generate Alternative Text for Images

Generate AI-powered alt text suggestions automatically, then refine as needed to match your content’s context and tone. Quickly add descriptive alternatives to PDFs, which make visual content accessible to screen readers and assistive technologies.

Intelligent OCR

Turned Scanned Documents into Accessible Content

Turn scanned documents and image-based PDFs into accessible content automatically. AI-powered OCR extracts text and structure, repairs problematic files, and creates properly tagged documents that work with screen readers. AI automatically detects and structures tables with semantic meaning for assistive devices.

Retagging

Remediate Already Tagged PDFs

Accelerate remediation for documents that already have accessibility tags. AI processes structural adjustments on previously tagged PDFs, reducing wait times and improving workflow efficiency for updates and refinements.

Granular Tag Control

Create and Combine Tags

Add new and merge overlapping tags into cleaner document structures for granular control when needed. Create complex accessibility structures like lists, or split text blocks into proper heading hierarchies within YuJa Verity.

Zone Retagging

Retag Specific Document Sections

Whether you need to fix a single section or restructure multiple areas, you can select and retag specific zones of your document to make targeted improvements without regenerating the entire document.

Tagged PDFs

Build on Accessibility with Tagged PDFs

Tagging your PDF provides the essential structure needed to improve accessibility for anyone using assistive technologies. With semantic meaning applied to your content, technology can accurately interpret and present your information exactly as you intended.

Structural Remediation

Add Logical Structure to PDF Documents

Logical structure supports the accessibility of documents to users with disabilities. With the YuJa Remediation Max Engine, users can organize a document’s structure with chapters, headings, paragraphs and sections of special elements like figures, tables, and footnotes.

Auto-Highlight Structural Areas

Elements in PDFs Will Be Highlighted When Hovered Over

When viewing a document’s structural hierarchy, elements will automatically be highlighted when hovered over, allowing users to easily identify which content they are adjusting.

Accessibility Issues

Address PDF Accessibility Issues to Transform Your Content

YuJa Structural Remediation Max targets common PDF accessibility issues, including low contrast, font size, missing alt text, and many more, to help you ensure that your PDFs are fully accessible for all learners.

  • Contrast Issues

    Automatically detects and corrects low-contrast text and elements to ensure they meet WCAG readability standards.

  • Font Issues

    Improves legibility by adjusting font size, weight, and spacing to meet accessibility best practices.

  • Alt Text

    Identifies missing or poor alt text and provides clear, descriptive alternatives for screen readers.

  • Untagged PDF

    Adds proper structural tags to PDFs, making documents fully navigable and accessible to assistive technologies.

  • Missing Titles

    Ensures every document includes a clear title so users and assistive technologies can understand its purpose.

  • Scanned DOC Issues

    Converts scanned documents into readable, selectable text and applies structure for compliant files.

  • Reading Order Issues

    AI automatically optimizes reading order so screen readers can navigate content logically, even in complex, multi-column layouts.

  • Heading Structure Issues

    AI detects and corrects improper heading hierarchies to help ensure documents have a logical structure that assistive technology can follow.

  • Table Structure Issues

    AI engines automatically detect and structure tables with proper semantic meaning, making rows, columns, and headers accessible to screen readers and assistive tech.

LMS Integration

Compatible with All Major LMS Platforms

YuJa Structural Remediation Max integrates with Canvas, Blackboard, D2L Brightspace, and Moodle, bringing AI-powered PDF remediation directly into your existing workflows.

Word Integration

Remediate Files Directly in Microsoft Word

Fix accessibility issues without leaving Microsoft Word. Direct integration brings remediation capabilities into your familiar environment, allowing you to address accessibility concerns as you create and edit documents.

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Colorado-Community-College logo

Colorado Community College System

Together, the institutions that form the Colorado Community College System have helped Colorado earn a reputation as one of the nation’s leaders in two-year academic and technical education. CCCS is a national leader in remedial reform, enhancing college success rates for students who need to improve their college readiness.

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Accessibility Checker Comparison

Do I Need Standard Remediation or Structural Remediation Max?

YuJa offers two AI-powered document accessibility solutions to meet different institutional needs. Standard Document Remediation provides streamlined fixes for essential accessibility issues, while the Structural Remediation Max Module delivers comprehensive AI automation for advanced document structures. Compare the tools below.

Remediation Capability Standard Document Remediation Structural Remediation Max
The document is missing a title Yes Yes
The item does not have an alternative description Yes Yes
Insufficient contrast between foreground text and background Yes Yes
The document’s heading structure is not properly nested Yes
Check reading order Yes
The document heading structure does not start at one Yes
The document’s heading structure goes beyond six levels Yes
The document is malformed Yes
The document is scanned Yes
Table does not have a header Yes
The PDF is untagged Yes
The language set is not specified for this content Yes
The document does not have any headings Yes

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