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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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In the first two posts of this series, we benchmarked OCR on two increasingly demanding tasks: Grounded (BBox) OCR, reading text AND returning its coordinates Image → Markdown OCR, plain-text...

Most OCR tools tell you what a document says. That’s fine for search indexing and RAG. But when your workflow needs to act on a specific piece of text (redact...

In our first benchmark, we showed that JSL Vision OCR is the #1 grounded OCR model overall, beating every closed-source frontier system on the FUNSD dataset. This post answers a different question: plain-text...

If you’ve shopped for an OCR model recently, you already know the problem: every vendor claims state-of-the-art accuracy, every benchmark uses a different dataset, and “VLMs can do OCR” is...

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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