Project managers running clinical NLP annotation at scale face a recurring problem: quality issues surface weeks after they become expensive to fix. By the time inconsistent labeling patterns appear in...
Healthcare AI teams annotate thousands of clinical documents every week. Discharge summaries. Procedure notes. Lab reports. Referral letters. Most arrive as PDFs, sometimes scanned, sometimes native, often a mix of...
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...
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