DocWright automates the fixes that take faculty hours — and does it in a format your existing LMS can score immediately.
LMS accessibility scoring
Fixes document structure so files pass ALLY, Canvas Accessibility Checker, and Moodle accessibility reports automatically — no manual remediation workflow required.
ALLY
Canvas
Moodle
Blackboard
AI-generated image descriptions
Blank or missing alt text is the most common ALLY failure. DocWright sends images, equation and chart content, and full page images for scanned pages to your institution's chosen AI provider — Anthropic, Google Gemini, or Azure OpenAI — and writes meaningful, contextual descriptions directly into the file — screen-reader-ready.
Equation accessibility
Math and science faculty can now submit DOCX and PDF files with equations that ALLY can actually read. DocWright renders each equation visually, generates a spoken-math description, and injects it into the accessibility tree.
Local-first: documents processed on campus
DocWright is a Windows desktop application. All structural remediation runs on the faculty member's machine, and the document is never uploaded to a DocWright server. The optional AI step sends images, equation and chart content, and full page images for scanned pages to the one provider your institution chooses, under its own account and agreement.
DOCX, PPTX, and PDF support
All three file types faculty use most. DocWright fixes document titles, language attributes, heading structure, color contrast, tagged PDF structure, and image alt text — in a single drag-and-drop step.
Deployable via SCCM or manual install
A self-contained Windows executable with bundled Python runtime and LibreOffice. No system-level dependencies. Ships as a signed setup wizard and a signed MSI for SCCM or Intune, with an IT deployment guide and silent install support.