Server SDK:
PDF Remediation: Programmatic Tagging for PDF/UA & WCAG Standards
Automate PDF remediation and UA compliance within your backend infrastructure. The Apryse Server SDK provides high-performance tools to programmatically generate, tag, and validate accessible documents at scale across Linux, Windows, and macOS.
Proactively Address Accessibility Documentation Gaps
Apryse Server SDK provides developers with a high-performance toolkit to programmatically tag, validate, and remediate PDFs for WCAG 2.2 AA and PDF/UA standards. Transform inaccessible legacy archives into smart, structured, and screen-reader-ready documents without manual overhead.
Auto-tagging Use Cases
Automatically remediate high volumes of bank statements, insurance policies, and investment disclosures. Ensure that complex data tables remain navigable for screen readers so every customer has equal access to their financial data.
From municipal building permits to federal policy papers, our server SDK allows agencies to automate the "tagging" of legacy archives, ensuring transparency for all citizens regardless of ability.
Transform scanned legal briefs into accessible formats. By combining OCR with Auto-Tagging, we turn flat images into structured PDF/UA files, allowing legal professionals to use keyboard navigation and text-to-speech effectively.
PDF AND DOCUMENT AUTO-TAGGING FAQS
A searchable PDF contains a text layer (often via OCR), but an accessible PDF requires a Tag Tree that defines the hierarchy (H1, H2, etc.) and the reading order for assistive technology.
Yes. Our SDK supports batch processing to apply tags, OCR, and language settings to thousands of documents simultaneously, significantly reducing manual effort.
Our high-fidelity conversion preserves structural elements like tables, lists, and headings, ensuring that the resulting Word or Excel file remains accessible to users.
