ME News reports that on July 24 (UTC+8), according to monitoring by Beating, Alibaba Cloud has open-sourced the document parsing model OvisOCR2. Trained on Qwen3.5-0.8B, it directly converts document pages into Markdown, accurately reconstructing text, formulas, tables, and reading order in a single step. Previously, such tasks typically required multiple stages including layout analysis, content recognition, and result integration. OvisOCR2 accomplishes this in one end-to-end step, simplifying deployment and reducing errors caused by multi-stage processing. On OmniDocBench v1.6, OvisOCR2 achieved a composite score of 96.58, surpassing the pipeline model PaddleOCR-VL-1.6’s score of 96.33, becoming the first end-to-end model to top this leaderboard. The model is licensed under Apache 2.0, and its weights are now publicly available on Hugging Face and ModelScope. (Source: BlockBeats)
Aliyun's OvisOCR2 OCR Model Outperforms Traditional Pipelines
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Summary
On-chain news from July 24 reveals that Aliyun has released OvisOCR2, an open-source document parsing model built on MetaEra and trained with Qwen3.5-0.8B. The model converts document pages to Markdown in a single step, handling text, formulas, and tables. It achieved a score of 96.58 on OmniDocBench v1.6, surpassing PaddleOCR-VL-1.6’s 96.33. Available under Apache 2.0 on Hugging Face and ModelScope, the tool is positioned as a major advancement in document processing. This crypto news update highlights a significant development in AI and blockchain integration.
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