PaddlePaddle/PaddleOCR v3.4.0 on GitHub

2026.1.29 v3.4.0 released

Release the PaddleOCR-VL-1.5 complex document parsing solution.
PaddleOCR-VL-1.5 is a new iterative version of the PaddleOCR-VL series. Based on comprehensive optimization of the core capabilities of version 1.0, the model achieves 94.5% accuracy on the authoritative document parsing benchmark OmniDocBench v1.5, surpassing top global general-purpose large models and document parsing–specific models.
PaddleOCR-VL-1.5 innovatively supports irregular-shaped bounding box localization of document elements, enabling excellent performance in real-world application scenarios such as scanning, skew, warping, screen-photography, and complex illumination, achieving comprehensive SOTA performance. In addition, the model further integrates seal recognition and spotting tasks, with key metrics continuing to lead mainstream models.
You can use it online on the PaddleOCR official website or call the model API.
Add support for calling MLX-VLM inference services.
PaddleOCR-VL now supports cross-page table merging and multi-level heading reconstruction.
PP-StructureV3 adds support for the format_block_content and markdown_ignore_labels parameters.
Fixed an issue where accessing the /docs endpoint in the official PaddleOCR-VL image would result in an error.

发布 PaddleOCR-VL-1.5 复杂文档解析方案。
PaddleOCR-VL-1.5 是 PaddleOCR-VL 系列的全新迭代版本。在全面优化 1.0 版本核心能力的基础上，该模型在文档解析权威评测集 OmniDocBench v1.5 上斩获了 94.5% 的高精度，超越了全球的顶尖通用大模型及文档解析专用模型。
PaddleOCR-VL-1.5 创新性地支持了文档元素的异形框定位，使得 PaddleOCR-VL-1.5 在扫描、倾斜、弯折、屏幕拍摄及复杂光照等真实落地场景中均表现卓越，实现了全面的 SOTA。此外，模型进一步集成了印章识别与文本检测识别任务，关键指标持续领跑主流模型。
您可以在 PaddleOCR官网在线使用或者调用该模型的API。
新增对 MLX-VLM 推理服务的调用支持。
PaddleOCR-VL 支持合并跨页表格、多级标题重建功能。
PP-StructureV3 支持 format_block_content、markdown_ignore_labels 参数。
修复 PaddleOCR-VL 官方镜像访问 /docs 接口报错的问题。

Full Changelog: v3.3.3...v3.4.0