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SoMark open-sources 1.3B OXR document-parsing model

AI summary

SoMark has open-sourced OXR, a roughly 1.3B-parameter document-parsing model that separates layout analysis from content recognition and reading-order prediction. It can process 13 types of document elements into Markdown or JSON, while its post-training pipeline uses recursive self-improvement to turn errors and uncertain samples from unlabeled documents into new training data. The team reported first-place scores on three benchmarks and a 101-second end-to-end parse time for 100 pages on one RTX PRO 6000, but these performance claims have not been independently verified.

In-depth insight

OXR combines public code and weights, structured document outputs, a pluggable layout-analysis module, and an RSI training approach, giving developers a lightweight open-source option for document-processing workflows.

RSI立大功!国产开源登顶全球第一,1.3B OXR重塑OCR – 量子位

< img id="wx_img" src="https://www.qbitai.com/wp-content/uploads/imgs/qbitai-logo-1.png" width="400" height="400">

RSI立大功!国产开源登顶全球第一,1.3B OXR重塑OCR

Jay 2026-10-30 13:52:47 来源:量子位

解析一切

#SoMark#OXR#OmniDocBench#olmOCR-Bench#DocParsingBench#PaddleOCR-VL-1.6#MinerU2.5-Pro#RTX PRO 6000

Original · 13 min readRead the original
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