SoMarkAI/OXR-1.0

AI model by SoMarkAI

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SoMark｜OXR An open-source document parsing model with SOTA accuracy and speed, using an RSI loop during post-training. Turn documents into Agent-Friendly data. 🌐 Online Demo ｜ 🔥 🆓 Free API [](https://github.com/SoMarkAI/OXR) [](https://huggingface.co/SoMarkAI/OXR-1.0) [](https://modelscope.cn/models/SoMark/OXR-1.0) English · 简体中文 OXR (Optical Everything Recognition) is an open-source model from the SoMark team. It turns PDFs and document images into Agent-Friendly data in Markdown or JSON, with layout coordinates included. Pretrained from scratch, OXR uses a recursive self-improvement (RSI) loop during post-training—a first in document parsing. With just 1.3B parameters, OXR ranks #1 on olmOCR-Bench, OmniDocBench, and DocParsingBench while delivering industry-leading parsing speed. OXR is the first to make its layout analysis module independent and pluggable. This design accelerates parsing and supports replacing the built-in layout model with a custom one. OXR continues to handle content recognition and reading order, enabling adaptation across diverse scenarios with minimal integration effort. Expand to see all 13 element…

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Model overview

SoMarkAI/OXR-1.0 is a task-unspecified model repository published by SoMarkAI on Hugging Face. A library was not reported.

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Model facts

Task: Not reported
Library: Not reported
Recent downloads (30 days): 3,180
Cumulative likes: 136
Hugging Face trending score: 75
Reported safetensors parameters: 1,534,378,216
Architecture: OXR
License: Not reported — check the model card
Access: Not gated by Hugging Face
Created: 2026-10-02T13:30:18.000Z
Last modified: 2026-10-24T15:59:48.000Z

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