Knowledge Base
Expert guides, real case studies, and deep technical dives on AI document extraction, OCR accuracy, and data processing automation — from the OnyorAI team.
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40,000 handwritten patient intake forms. HIPAA-compliant. 97.3% accuracy. Here's exactly how we did it.
Clinique Moreau in Brussels had two decades of patient intake forms stored in filing cabinets. No digital records, no searchability, and a compliance audit looming. We extracted and structured all 40,000 forms in 96 hours — here's the full technical breakdown of how our hybrid AI pipeline handled degraded handwriting, multi-language forms, and medical terminology.
40,000 handwritten patient intake forms, HIPAA-compliant processing, and 97.3% field accuracy — the complete technical breakdown.
A head-to-head benchmark of traditional OCR engines against AI Vision on 5,000 real documents across 7 document types. The results surprised us.
DPI settings, page orientation, file formats, batch naming conventions — everything you need to know to get the best accuracy before submitting to any AI pipeline.