Baidu’s PaddleOCR 2.9 Open-Source OCR Toolkit Gets aMajor Upgrade

作者智能小编

10 月 24, 2024 #open, #sourceocr, #每日AI快讯

Introduction:

PaddleOCR, an open-source Optical Character Recognition (OCR) toolkitdeveloped by Baidu’s PaddlePaddle, has released its latest version, 2.9. This new update significantly enhances the toolkit’s capabilities, particularly in documentscene information extraction, making it a valuable tool for researchers and developers working with text-based data.

Enhanced Document Scene Information Extraction:

PaddleOCR 2.9 introduces PP-ChatOCRv3-doc, an open-source model specifically designed for high-precision document layout analysis and information extraction. This model excels at identifying structured information within documents, enabling more accurate and efficient data processing.

Comprehensive Model Integration:

The toolkit now boasts an impressive collection of 17 OCR-related models, including layout region detection, table recognition, and formula recognition. These models are organized into six distinct pipelines, accessible through a user-friendly PythonAPI. This streamlined approach simplifies model integration and customization, making it easier for users to tailor the toolkit to their specific needs.

Low-Code Full-Process Development:

PaddleOCR 2.9 embraces a low-code development philosophy, allowing users to utilize unified commands or graphical interfaces to manage model training,deployment, and customization. This intuitive approach significantly reduces the technical barrier to entry, making OCR technology more accessible to a wider range of users.

Simplified API and Hardware Support:

The toolkit’s Python API has been optimized for ease of use, simplifying model calling, combination, and customization. Furthermore, PaddleOCR 2.9 supports diverse hardware platforms, further reducing development complexity and accelerating the adoption of OCR technology across various industries.

Conclusion:

PaddleOCR 2.9 represents a significant leap forward in open-source OCR technology. Its enhanced document scene information extraction capabilities, comprehensive model integration, low-code development approach, and simplifiedAPI make it a powerful and versatile tool for researchers, developers, and businesses alike. As OCR technology continues to evolve, PaddleOCR 2.9 is poised to play a crucial role in unlocking the potential of text-based data across a wide range of applications.

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