ADAPT AI handles much of the repetitive work that goes into PDF accessibility remediation, from structural tagging and ALT text to identifying and fixing accessibility issues.
Your team can then review the work, make changes where needed, and verify the final PDF using the built-in human-in-the-loop editor.
40X
Faster than manual remediation
90%
Tagging accuracy
23+
Automated WCAG checkpoints
Automation can handle much of the remediation work, but your team still needs visibility into the results. ADAPT AI’s built-in editor lets reviewers inspect and refine the changes made during automated processing, including ALT text, heading levels, reading order, tags, and text content.
Reviewers can make corrections directly in the browser without switching to specialist tools. This human-in-the-loop approach keeps automated remediation moving quickly while giving your team control over the final result.
Automatically identifies and applies structural tags to headings, lists, tables, figures, and reading order, even in complex PDF layouts. Your team doesn’t have to tag every element by hand.
Uses vision-based analysis to examine images, charts, and figures and generate context-aware alternative text, addressing one of the more time-intensive parts of PDF remediation.
Identifies and addresses accessibility issues such as missing language attributes, incorrect reading order, and untagged content. The platform also checks against WCAG 50+ checkpoints as part of the automated remediation process.
Detects complex table structures and form fields and applies appropriate header associations, scope attributes, and accessible field labels to support navigation with assistive technologies.
Generates WCAG and PDF/UA audit reports with pass/fail results, issue locations, and remediation action logs, providing a documented record of the accessibility work completed.
Upload a PDF directly to ADAPT AI, or bring documents in through batch processing, API, or supported cloud storage connections.
ADAPT AI analyses the document and automatically handles key remediation tasks, including structural tagging, ALT text generation, reading order, and accessibility issue detection.
Review the automated results in ADAPT AI’s built-in browser editor. Inspect and refine tags, ALT text, heading levels, reading order, and text content before finalising the document.
Export the remediated PDF along with compliance reporting and a record of remediation actions, giving your team visibility into the completed work.
Process key remediation tasks automatically, helping teams handle PDF accessibility work significantly faster than traditional manual remediation workflows.
Review and refine automated results through a browser-based editor, giving your team control over tags, ALT text, reading order, and content.
Identifies and fixes the structure of complex PDFs, including headings, lists, tables, forms, figures, and reading order, without requiring each element to be handled manually.
Analyse images, charts, and figures to generate context-aware ALT text, reducing the manual work required to make visual content accessible.
Generate WCAG and PDF/UA reports with pass/fail results, issue locations, and remediation logs to document accessibility checks and completed fixes.
Support high-volume processing through APIs, cloud connectors, batch processing, SSO/SAML, webhooks, and cloud or on-premise deployment options.
Talk to Us
