Signum Verbum: Text-to-Braille System
Reliable conversion stack for accessible content at scale.
01 · Problem
What wasn't working
Braille output tooling is fragmented across contracted vendors and consumer software, with inconsistent quality.
02 · Why Existing Approaches Fall Short
The gap in current tooling
Many tools struggle with technical formatting, math notations, and lack proper QA review interfaces for institutions.
03 · Solution
How we approached it
One conversion stack that supports Grade 1/2 braille, math, and technical notation — with reviewer tooling for institutional QA.
04 · System Design
Architecture &
key features.
Architecture
- Rule engine for Grade 1/2 braille
- MathML + Nemeth code support
- Embosser driver library
- QA reviewer UI
Features
- Grade 1 & 2 braille
- Math + STEM support
- Embosser output
- QA reviewer workflow
05 · What we learned
Lessons from production
Institutional workflows require a 'human-in-the-loop' review step before embossing, as automated translation errors in physical media are costly.
06 · What's next
Where the system goes
Direct integration with major Learning Management Systems (LMS).
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