Your OCR says it’s done—but did it get everything right? 🤔 In high-stakes workflows,…
This is a dev post classified by AGK Intelligence as AI dev tools (a launch), kept by the Dev Radar because it carries real work, not commentary.
Your OCR says it’s done—but did it get everything right? 🤔 In high-stakes workflows, even a small error can be costly. 🚀 Meet the MiniCPM-OCR suite: an open-source solution to parse fast and guard the results. Two new models: 🔹 MiniCPM-OCR 1.0 — SOTA OCR performance and speed at 1B scale. Compact, accurate, and fast. 🔹 MiniCPM-OCR Jev — A 2B decision model that helps assess parsing accuracy, with performance approaching that of Qwen3.5-397B-A17B on JevOCRBench. ⚡ What’s new? Small model, SOTA results: MiniCPM-OCR 1.0 scores 93.68 on Real5-OmniDocBench and 54.7 on OCRBench v2. A sharp goalk
Posted by OpenBMB (13.1k followers) 3 days ago · 1.3k likes · 1.5M views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: minicpm-ocr, minicpm-ocr-1.0, minicpm-ocr-jev, ModelBest.
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