Open Source Accessibility for Higher Education

Accessibility is the foundation on which every Aelira feature is built. We did not start with a technology and go looking for a problem. We started with the reality that millions of students encounter inaccessible course materials every semester, and we worked backward from there. The platform checks supported files against relevant WCAG 2.1 AA and PDF/UA criteria, then produces findings and eligible partial fixes for human review. We work toward content that is perceivable, operable, understandable, and robust actually requires. Accessibility is not a feature we bolted on after launch. It is the reason the company exists.

Twenty-six percent of US adults live with a disability. When a professor uploads an inaccessible PDF, they are not making a formatting choice. They are excluding students from the material those students paid to access. We believe that how content was authored should never determine who can learn from it. Equity is the principle that drove us to make Aelira open-core and to price it for higher education budgets, not enterprise procurement cycles. Accessible content should be the default, not a retroactive afterthought squeezed in before a compliance deadline.

Aelira is purpose-built for higher education. The content types we handle (course syllabi, lecture slides, research papers, exam materials, multimedia recordings) reflect the real artefacts that move through universities every semester. We integrate directly with the systems faculty already use. Canvas has maintainer-verified integration testing; Blackboard remains experimental, while Google and Microsoft connectors need institution-specific acceptance checks. Our commitment extends well beyond any single regulation. Wherever learning happens, the materials should work for everyone.

Compliance is the floor, not the ceiling. Meeting WCAG 2.1 AA is necessary, but true inclusion means designing for the full spectrum of human ability: screen reader users, keyboard-only navigators, people with colour vision deficiency, and learners with cognitive or neurological differences. We built Aelira not to produce documents that pass an automated checker, but to produce documents that actually work for the people who need them. Every remediation should make content more usable, not merely more technically conformant.

Most accessibility tools stop at detection. They generate a report, hand it to someone who is already overworked, and hope for the best. Aelira's key differentiator is that it remediates: faculty upload broken content and receive fixed content back. Our AI-powered engine adds alt text to images, tags document structure, repairs reading order, fixes colour contrast, and generates proper table markup. Detection without remediation is a to-do list. Remediation is the actual work, and that is what we chose to build.

Manual accessibility work takes time away from teaching, research, and students. Aelira can scan supported files and propose or apply eligible partial fixes. Reading order, complex tables, subject-specific alt text, and other judgments still need a knowledgeable person. A pilot should measure the effort saved on your own material.