Most OCR demos show a clean page turning into clean text. My real documents ne… · @harden_369741 · TwKit

@harden_369741

Most OCR demos show a clean page turning into clean text. My real documents never look like that, which is why this release caught my eye. ModelBest and OpenBMB open-sourced MiniCPM-OCR 1.0, a 1.3B model built for photographed, curved and tilted pages, plus dense bilingual text, formulas and borderless tables. It also pulls key fields from invoices and statements. The part I actually care about is Jev, the 2B model next to it. Jev does not do OCR. It compares the image with the OCR output and scores text, LaTeX and tables, flagging missing characters and misaligned formatting. That is the boring job everyone skips, and it is where document pipelines quietly break. My take: parsing accuracy stopped being the bottleneck a while ago. Trust in the output is. A small checker that can sit on top of any OCR engine, without replacing it, is more useful to me than another slightly better parser. Source: https://www.prnewswire.com/news-releases/modelbest-and-openbmb-open-source-minicpm-ocr-series-delivering-high-performance-document-parsing-and-ai-powered-quality-control-302925594.html #OCR #DocumentAI #OpenSource

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