Low-Vision Document Enhancement
Documents adapted to the eyes reading them — contrast, scale, and reflow for low-vision readers.
Low-vision document enhancement is the adaptation of documents for readers with partial sight — the large population (far exceeding blindness) whose vision ranges from age-related decline through conditions like macular degeneration and glaucoma, and for whom standard documents fail not by being unreadable in principle but by being hostile in practice: small type, low-contrast printing, dense layouts, and scanned images that magnification turns into pixelated fog. Enhancement makes documents work with residual vision: higher contrast, adjustable scale, and layouts that survive magnification.
The document AI contribution is structural. A scanned or fixed-layout page magnified 400% forces horizontal scrolling line by line — the single most punishing reading experience low-vision users report — while a document whose text and structure have been recovered can reflow: recognized text re-rendered at any size in a single column, in the reader's chosen font, weight, and color scheme (high-contrast and inverted modes materially help many conditions), with the original's tables and figures reachable but not obstructing. That recovery is exactly the OCR-plus-layout-analysis stack this glossary describes — accessibility being one more consumer of faithful parsing, with the same failure sensitivity: a mis-ordered column reflows into nonsense, a dropped footnote disappears entirely for a reader who cannot skim the original to notice.
Image-side enhancement serves the cases where the original must be viewed (the signature, the stamp, the form as filled): contrast optimization and adaptive processing tuned for human low vision rather than OCR — related machinery, different objective function — as deployed in electronic magnifiers and reading apps. And the practice connects to obligation: accessibility regimes (ADA, the European Accessibility Act, WCAG's contrast and reflow criteria) increasingly require that institutions' customer documents — statements, notices, policies — be available in forms low-vision customers can actually use, which turns enhancement pipelines from courtesy into compliance, and makes the accessible-formats entry's themes (structure, tagging, real text) this entry's foundation.
A document isn't really published until everyone can read it — including people using screen readers.
Documents read aloud correctly — which requires the structure to be right before the voice ever starts.
Not just readable — navigable: the structural test every accessible document must actually pass.
Proof Perimeter runs document AI inside your own perimeter — with a provenance record on every field.
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