Benchmarking 16 leading OCR and vision-language models reveals JSL Vision as the top-performing solution for markdown OCR. Explore CER rankings, cost comparisons, performance benchmarks, and why self-hosted OCR has reached parity with frontier cloud APIs.
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...
We benchmarked OpenAI Privacy Filter against a John Snow Labs de-identification pipeline on 381,959 tokens of real clinical text. The John Snow Labs pipeline reached 0.95 F1 on PHI detection...
Institution-scale medical reasoning: what the field is actually learning There is a version of the institution-scale clinical reasoning story that is easy to tell: AI systems that continuously reason over...
Clinical NLP extracts meaning from unstructured text. But in healthcare, extracted meaning isn't useful until it speaks the same language as the systems that need to act on it. An...
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