About
About EqualDoX
EqualDoX started with a simple question: Why should making PDFs accessible be expensive and labor-intensive when much of the process can be automated reliably?
Our goal is to make PDF accessibility efficient, dependable and affordable. EqualDoX automates everything that can be handled reliably and clearly identifies cases where human review is still advisable.
What we stand for
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Automate what is reliable
Repetitive technical remediation should not require unnecessary manual work. EqualDoX automates every step that can be handled reliably.
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Flag what needs review
When a case cannot be resolved with sufficient confidence, EqualDoX flags it for review instead of hiding the uncertainty.
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Keep accessibility affordable
Accessible documents should remain economically viable even at large scale. EqualDoX is designed to minimize both processing costs and manual effort.
Team
Matthis Ehrhardt
Founder & Developer
Matthis is a mathematician and PhD researcher at the University of Mannheim. His research focuses on mathematical methods and machine learning.
EqualDoX grew out of a practical accessibility problem encountered in the university environment and is developed independently alongside his academic research.