# PaddleOCR 3.5: Running OCR and Document Parsing Tasks with a Transformers Backend

Published: 2026-05-18 · Updated: 2026-05-18 · Category: Other

Source page: https://www.sipply.dev/story/paddleocr-3-5-running-ocr-and-document-parsing-tasks-with-a-7e0aa0ed · 中文: https://www.sipply.dev/zh/story/paddleocr-3-5-running-ocr-and-document-parsing-tasks-with-a-7e0aa0ed

## Summary

PaddleOCR has announced the release of version 3.5, which introduces the ability to run Optical Character Recognition (OCR) and document parsing tasks using the Hugging Face Transformers as an inference backend. This significant update enhances the flexibility and ease of use for developers, allowing them to leverage the powerful capabilities of the Hugging Face ecosystem while working with PaddleOCR models. The integration aims to streamline workflows and improve the performance of OCR tasks, making it a valuable tool for those in need of advanced document processing solutions.

## Key takeaways

- PaddleOCR 3.5 integrates with Hugging Face Transformers for improved OCR capabilities.
- The new version enhances flexibility and ease of use for developers.
- Streamlined workflows for document parsing tasks are now possible with this integration.

## Why it matters

The integration of PaddleOCR with Hugging Face Transformers represents a significant advancement in the field of OCR and document processing, enabling more robust and flexible solutions for various applications.

- **Product managers:** Product managers should note that this integration can enhance product offerings by providing advanced document processing capabilities, potentially increasing user satisfaction and market competitiveness.
- **Developers:** For developers, this update simplifies the implementation of OCR tasks, allowing for quicker deployment and integration of powerful machine learning models into applications.
- **Students and job seekers:** Students and job-seekers should be aware of this development as it highlights the growing importance of OCR technologies and the skills needed to work with modern machine learning frameworks like Hugging Face.

## Sources

- [PaddleOCR 3.5: Running OCR and Document Parsing Tasks with a Transformers Backend](https://huggingface.co/blog/PaddlePaddle/paddleocr-transformers) (Hugging Face Blog, 2026-05-18)

## 中文

### PaddleOCR 3.5：使用 Transformers 后端运行 OCR 和文档解析任务

PaddleOCR 发布了 3.5 版本，新增了使用 Hugging Face Transformers 作为推理后端运行光学字符识别（OCR）和文档解析任务的能力。此重大更新增强了开发者的灵活性和易用性，使他们能够在使用 PaddleOCR 模型时充分利用 Hugging Face 生态系统的强大功能。该集成旨在简化工作流程并提高 OCR 任务的性能，使其成为需要先进文档处理解决方案的用户的宝贵工具。

**要点：**

- PaddleOCR 3.5 与 Hugging Face Transformers 集成，提升了 OCR 能力。
- 新版本增强了开发者的灵活性和易用性。
- 通过此集成，文档解析任务的工作流程得以简化。

**为什么重要：** PaddleOCR 与 Hugging Face Transformers 的集成代表了 OCR 和文档处理领域的重要进展，使各种应用能够实现更强大和灵活的解决方案。

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