PragyaDoc: A Universal Document Intelligence Framework for Multilingual Medical Document Understanding in Low-Resource Settings

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[Submitted on 1 Jun 2026]

Title:PragyaDoc: A Universal Document Intelligence Framework for Multilingual Medical Document Understanding in Low-Resource Settings

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Abstract:India's 22 official languages create a critical accessibility barrier: the majority of medical documentation exists exclusively in English, yet the patients who most urgently require this information - rural populations, ASHA workers, and patient families - are functionally excluded from understanding it. This paper presents PragyaDoc, a Universal Document Intelligence Framework that addresses this gap through a four-layer pipeline: a parallel ensemble OCR extraction layer, a geometric-lexical fusion layer, a deterministic domain structuring layer, and a dual-LLM medical reasoning and localization layer

Comments: 7 pages 4 images/figure

Subjects:

Computer Vision and Pattern Recognition (cs.CV); Computation and Language (cs.CL)

Cite as: arXiv:2608.07478 [cs.CV]

(or arXiv:2608.07478v1 [cs.CV] for this version)

https://doi.org/10.48550/arXiv.2608.07478

arXiv-issued DOI via DataCite

Submission history

From: Jagpal Jhala [view email] [v1] Mon, 1 Jun 2026 06:19:21 UTC (6,109 KB)

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