How Far Is Document Parsing from Solved? PureDocBench: A Source-TraceableBenchmark across Clean, Degraded, and Real-World Settings

Zhiheng Li; Zongyang Ma; Jiaxian Chen; Jianing Zhang; Zhaolong Su; Yutong Zhang; Zhiyin Yu; Ruiqi Liu; Xiaolei Lv; Bo Li; Jun Gao; Ziqi Zhang; Chunfeng Yuan; Bing Li; Weiming Hu

arXiv · 2605.07492

How Far Is Document Parsing from Solved? PureDocBench: A Source-TraceableBenchmark across Clean, Degraded, and Real-World Settings

Zhiheng Li·Zongyang Ma·Jiaxian Chen·Jianing Zhang·Zhaolong Su·Yutong Zhang·Zhiyin Yu·Ruiqi Liu·Xiaolei Lv·Bo Li·Jun Gao·Ziqi Zhang·Chunfeng Yuan·Bing Li·Weiming Hu

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Abstract

The past year has seen over 20 open-source document parsing models, yet thefield still benchmarks almost exclusively on OmniDocBench, a 1,355-pagemanually annotated dataset whose top scores have saturated above 90%. Athree-stage audit pipeline we run on OmniDocBench screens its 21,353evaluator-scored blocks and confirms 2,580 errors (12.08%); combined with overa year of public availability, both annotation quality and contamination riskcall its rankings into question. To address these issues, we presentPureDocBench, a programmatically generated, source-traceable benchmark thatrenders document images from HTML/CSS and produces verifiable annotations fromthe same source, covering 10 domains, 66 subcategories, and 1,475 pages, eachin three versions: clean, digitally degraded, and real-degraded (4,425 imagestotal). Evaluating 40 models spanning pipeline specialists, end-to-endspecialists, and general-purpose VLMs, we find: (i) document parsing is farfrom solved: the best model scores only ~74 out of 100, with a 44.6-point gapbetween the strongest and weakest models; (ii) specialist parsers with <=4Bparameters rival or surpass general VLMs that are 5-100x larger, yet formularecognition remains a shared bottleneck where no model exceeds 67% whenaveraging the formula metric across all three tracks; (iii) general VLMs loseonly 0.99/8.52 Overall points under digital/real degradation versus 4.90/14.21for pipeline specialists, producing ranking reversals that make clean-onlyevaluation misleading for deployment. All data, code, and artifacts arepublicly released.

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Zhiheng Li, Zongyang Ma, Jiaxian Chen, Jianing Zhang, Zhaolong Su, Yutong Zhang, Zhiyin Yu, Ruiqi Liu, Xiaolei Lv, Bo Li, Jun Gao, Ziqi Zhang, Chunfeng Yuan, Bing Li, Weiming Hu. 2026-05-08. How Far Is Document Parsing from Solved? PureDocBench: A Source-TraceableBenchmark across Clean, Degraded, and Real-World Settings. https://arxiv.org/abs/2605.07492

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