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SoMark Open-Sources OXR-1.0 Document Parsing Model Top-Ranking Benchmarks

11/07/2026 — 11/07, 04:15·1 sources (all)·1 reports (all)

Key takeaways

  • The SoMark team has open-sourced OXR-1.0, a 1.3B-parameter document parsing model that introduces recursive self-improvement in post-trainin…

Background & analysis

A post on Reddit's LocalLLaMA forum, dated November 7, 2026, reports that the SoMark team has open-sourced OXR-1.0 (Optical Everything Recognition), a text parsing model discovered by a community member browsing the Trending models page on Hugging Face. The author says they found the model a month earlier and decided to post because no existing discussion thread covered it.

According to the post, OXR-1.0 is a 1.3B parameter model pretrained from scratch. It converts PDFs and document images into Agent-friendly Markdown or JSON data that includes layout coordinates. During post-training it applies a recursive self-improvement (RSI) loop, which the poster describes as a first in document parsing. With only 1.3B parameters, OXR ranks first on benchmarks including olmOCR-Bench and OmniDocBench, the post states. As of now, this single community post is the only public coverage of the release.

AI-generated from 1 reports · updated 1 hour ago

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  1. Discovered on Hugging Face, SoMark has open-sourced OXR-1.0, a 1.3B-parameter document parsing model. It turns PDFs and images into agent-ready Markdown or JSON with layout coordinates using a recursive self-improvement loop, ranking top on multiple benchmarks.

    Reddit · LocalLLaMAAI score 63

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