Learn how Generative AI Lab transforms PDFs into clean, structure-preserving text for NER annotation, improving context, accuracy, and healthcare NLP workflows.
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...
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...
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...
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