Optical character recognition (OCR) is the task of converting printed or handwritten text into machine-encoded text. OCR has been widely used in various scenarios, such as document electronization and identity authentication. Because OCR can greatly reduce the manual effort to register key information and serve as an entry step for understanding large volumes of documents, an accurate OCR system plays a crucial role in the era of digital transformation.
The open-source community and researchers are concentrating on how to improve OCR accuracy, ease of use, integration with pre-trained models, extension, and flexibility. Among many proposed frameworks, PaddleOCR has gained increasing attention recently. The proposed framework concentrates on obtaining high accuracy while balancing computational efficiency. In addition, the pre-trained models for Chinese and English make it popular in the Chinese language-based market. See the PaddleOCR GitHub repo for more details.
At AWS, we have also proposed integrated AI services that are

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