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Content by Christian Kasim Loan

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Christian Kasim Loan is a computer scientist with over 10 years of coding experience who works for John Snow Labs as a Senior Data Scientist where he helps porting the latest and greatest Machine Learning Models to Spark and created the NLU library.

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Schema-constrained OCR extracts document values into a supplied JSON Schema. For clinical data ingestion and claims processing, you need both correct fields and a valid output structure. In John Snow...

John Snow Labs’ JSL Vision OCR-1B ranked first in the published 15-model FUNSD grounded OCR comparison at 0.039 BBox CER, ahead of Gemini 2.5 Pro at 0.053. Grounded OCR returns...

For clinical search and RAG pipelines, OCR quality determines how reliably you can retrieve information from scanned documents. In John Snow Labs’ FUNSD plain-text OCR benchmark, the self-hosted JSL Vision...

Visual document processing converts scanned pages into text, coordinates, or structured fields for downstream systems. In healthcare, the output you need determines what to evaluate: bounding boxes for redaction, reading-order...

In our previous article, JSL Vision: State-of-the-Art Document Understanding on Your Hardware, we benchmarked JSL Vision against leading open-source vision-language models on FUNSD and OmniOCR In this follow-up, we address...
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