AI가 움직이고 미래가 업데이트됩니다.OvisOCR2
We are pleased to announce the release of OvisOCR2, a compact 0.8B end-to-end model for page-level document parsing. Given a document page image, OvisOCR2 generates a Markdown representation in natural reading order, covering text, formulas, tables, and visual regions. OvisOCR2 is developed by post-training Qwen3.5-0.8B using a carefully designed data engine that combines real-world and synthetic data, together with a multi-stage training recipe integrating SFT, RL, and OPD. The model delivers strong document parsing performance while maintaining a small deployment footprint. OvisOCR2 achieves an overall score of 96.58 on OmniDocBench v1.6, establishing a new state of the art and **becoming the first end-to-end model to top this leaderboard previously dominated by pipeline methods**. On PureDocBench, OvisOCR2 also achieves the highest Avg3 score of 75.06.
번역 준비 중입니다. 원문을 표시합니다.
We are pleased to announce the release of OvisOCR2, a compact 0.8B end-to-end model for page-level document parsing. Given a document page image, OvisOCR2 generates a Markdown representation in natural reading order, covering text, formulas, tables, and visual regions. OvisOCR2 is developed by post-training Qwen3.5-0.8B using a carefully designed data engine that combines real-world and synthetic data, together with a multi-stage training recipe integrating SFT, RL, and OPD. The model delivers strong document parsing performance while maintaining a small deployment footprint. OvisOCR2 achieves an overall score of 96.58 on OmniDocBench v1.6, establishing a new state of the art and **becoming the first end-to-end model to top this leaderboard previously dominated by pipeline methods**. On PureDocBench, OvisOCR2 also achieves the highest Avg3 score of 75.06.