PREP

PREP is an advanced AI-powered PDF accessibility and remediation platform designed to help organizations efficiently create, validate, remediate, and audit accessible PDF documents. Leveraging intelligent automation, PREP delivers up to 95% auto-tagging accuracy and reduces manual remediation effort by up to 80%, enabling teams to accelerate accessibility workflows while maintaining compliance with WCAG 2.2, PDF/UA, ADA, and Section 508 standards.
PREP automatically analyzes document structure, generates accessibility tags, detects compliance issues, and simplifies remediation through an intuitive user interface built for high-volume document environments.

To support end-to-end accessibility automation, PREP also offers a suite of APIs that integrate seamlessly into document management, publishing, and content workflows:

• PREP Auto-Tag API – Automatically tags PDF documents using AI-powered document structure recognition.
• PRE AccessibilitPy Checker API – Tests PDFs against WCAG and PDF/UA standards and generates detailed accessibility reports.
• PDF Audit API – Audits PDF collections at scale, identifies accessibility barriers, and provides actionable remediation insights.

Trusted by enterprises, educational institutions, publishers, and government agencies, PREP enables organizations to scale accessibility initiatives, improve operational efficiency, and deliver accessible digital content faster and more cost-effectively.