@heyshrutimishra: The tiny footnote, the handwritten correction, the formula tucked beside a table. Those details can change how you read…
Summary
SoMark released OXR, a 1.3B open-source document parsing model that tops olmOCR-Bench, OmniDocBench and DocParsingBench while delivering 1.60× DeepSeek-OCR-2's throughput on a single RTX PRO 6000. It handles footnotes, formulas, tables and handwriting across 13 element types with coordinates, powered by RSI.
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Cached at: 10/21/26, 08:34 PM
The tiny footnote, the handwritten correction, the formula tucked beside a table. Those details can change how you read a page.
OXR tracks footnotes, formulas and tables among 13 element types, coordinates included, handles handwriting, and posts the top score on olmOCR-Bench, OmniDocBench and DocParsingBench.
On speed it’s the open-source leader too: 1.60× DeepSeek-OCR-2’s throughput across 100 OmniDocBench pages on one RTX PRO 6000.
I’d bring a genuinely messy document to the free demo. That’s where this becomes interesting: http://free-oxr.somark.ai/github.com/SoMarkAI/OXR…
SoMark (@somarkai): Beyond OCR. Meet OXR. Only 1.3B. Open source.
#1 on olmOCR-Bench, OmniDocBench & DocParsingBench🏆 #1 in parsing speed among open-source models⚡
RSI-powered. A first in document parsing. Turn documents into Agent-Friendly data.
If OXR helps, give us a star on GitHub! 🌟
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