Sathus Technical Domain Hub

Document Intelligence & Medical AI

High-Accuracy Medical OCR, LayoutLM Extraction & Regulatory Document AI

Intelligent Document Processing (IDP), multi-column table extraction from complex scientific and medical PDFs, LayoutLM and vision LLMs, eCTD regulatory parsing, and automated PHI redaction.

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Core Technical Subclusters

Structured specialization tracks under the Document Intelligence & Medical AI umbrella.

Document Extraction Pipelines

13+ specs

Python LayoutLMv3, Tesseract OCR, multi-column parsing, and table recovery.

Clinical & Regulatory Document AI

12+ specs

eCTD regulatory module parsing, pathology report NER, and protocol extraction.

Validation & Evaluation

10+ specs

Human-in-the-loop (HITL) routing, CER/WER accuracy testing, and PHI blackout.

Authoritative Guides, Benchmarks & Blueprints

Deep production guides authored by Sathus practice leads.

Technical Reference

13 min read

OCR vs Native PDF Extraction vs Vision LLMs: Comprehensive Benchmark

An empirical engineering benchmark across 100,000 pages of multi-column scientific papers, scanned medical charts, and complex financial tables. Comparing Character Error Rates (CER), cost per page, latency, and layout fidelity across PyMuPDF, Tesseract, LayoutLMv3, and GPT-4o.

Key Highlight: Native PDF text stream parsing is 100x faster and 95% cheaper than OCR, but completely fails on scanned documents and multi-column tabular data.

By Sathish KumarRead Guide

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