https://www.solosoft.dev/tags/math-recognition/Recent content in Math Recognition on SoloSoftHugoen-usFri, 01 May 2026 00:00:00 +0000https://www.solosoft.dev/post/got-ocr2-general-ocr-2026/Fri, 01 May 2026 00:00:00 +0000https://www.solosoft.dev/post/got-ocr2-general-ocr-2026/<p>Optical Character Recognition has been a solved problem for decades &ndash; for clean scanned documents with straightforward text. But the real world of visual content is far messier and more diverse. Mathematical equations with complex notation, tables with irregular cell structures, musical scores with specialized symbols, and scene text on signs and labels all defy traditional OCR approaches that assume clean, linear text on uniform backgrounds.</p> <p><strong>GOT-OCR2.0</strong> (General OCR Theory, version 2.0), developed by researchers at Ucas-HaoranWei, represents a paradigm shift toward what the authors call OCR-2.0. Instead of the traditional pipeline of detection, segmentation, and recognition modules strung together, GOT-OCR2.0 is a single end-to-end model with 580 million parameters that directly maps image pixels to structured text output.</p>