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Date of Award
5-6-2026
Document Type
Video Recording
Abstract
The responsibility to provide accessible digital content remains ongoing, and libraries face significant challenges in remediating large volumes of legacy PDF files. This session explores the use of an AI-powered tool to support PDF remediation and accessibility compliance. Faced with the need to remediate tens of thousands of documents, the team evaluated multiple AI-based accessibility solutions before selecting a PDF remediation system developed through the Arizona State University AI Cloud Innovation Center using AWS. The presentation outlines implementation logistics, practical considerations, and lessons learned. Attendees will gain insight into how AI can reduce staff burden, improve efficiency, and support accessibility compliance at scale.
Recommended Citation
Freeman, Amie and DuPre, Lance, "Managing Massive PDF Remediation Projects with AI Support" (2026). 2026 Southeastern Conference (SEC) AI Library Summit. 8.
https://scholarsjunction.msstate.edu/sec-ai-2026/8
