PREP is an AI-powered PDF accessibility and document remediation platform that helps organizations create, remediate, validate, and audit accessible PDFs faster and more accurately. It is designed for organizations managing large volumes of digital documents and looking to improve accessibility while reducing time-consuming manual work.
With up to 95% AI-powered auto-tagging and up to 80% reduction in manual remediation effort, PREP automatically analyzes PDF structures, identifies elements such as headings, paragraphs, lists, tables, images, and links, and generates appropriate accessibility tags. It also identifies potential accessibility issues and streamlines remediation workflows, helping teams improve document quality and consistency.
PREP supports organizations working toward major accessibility standards and regulations, including WCAG 2.2, PDF/UA, ADA, and Section 508. Its combination of automated remediation, validation, auditing, and workflow capabilities enables organizations to manage document accessibility more efficiently.
In addition to its core remediation platform, PREP provides a suite of APIs that allows organizations to integrate PDF accessibility capabilities directly into their existing publishing, content management, learning management, and document processing systems.
PREP Auto-Tag API: Automates PDF tagging using AI-powered document structure detection and tagging. It helps identify document elements and apply appropriate accessibility tags at scale.
PREP Accessibility Checker API: Automatically tests PDFs for accessibility issues against WCAG and PDF/UA requirements and generates detailed reports to help teams identify and address compliance gaps.
PDF Audit API: Enables organizations to audit large collections of PDFs, identify accessibility issues, and generate insights that help teams understand and prioritize remediation requirements.
PREP is built for enterprises, educational institutions, publishers, government organizations, and other teams responsible for creating, managing, and distributing digital documents. It can support both individual document remediation and large-scale accessibility programs.
The platform is particularly useful for organizations with extensive document libraries, recurring publishing workflows, or accessibility requirements across multiple departments. By automating repetitive tasks, teams can spend less time manually inspecting and tagging documents and more time addressing complex accessibility issues that require human expertise.
PREP also helps organizations integrate accessibility into their existing workflows rather than treating remediation as a separate, manual process. Through its APIs, accessibility checks and document processing can be incorporated into publishing and document management systems, helping organizations identify issues earlier in the content lifecycle.
By combining AI-powered automation, PDF remediation, auto-tagging, accessibility checking, auditing, and API integrations, PREP provides a scalable approach to digital document accessibility. Whether an organization is remediating an existing PDF library, validating newly created documents, auditing documents at scale, or embedding accessibility checks into an existing system, PREP helps reduce manual effort, improve workflow efficiency, and support the creation of more accessible digital content.
