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PaddleOCR is a powerful OCR (Optical Character Recognition) tool developed by PaddlePaddle, an open-source deep learning platform from Baidu. It is designed to extract text from images in multiple languages with high accuracy. PaddleOCR supports over 80 languages, including English, Chinese, French, Spanish, and many more, making it a versatile tool for global users. It is widely used in various applications such as document scanning, license plate recognition, and text extraction from images.
• Multi-language support: Extract text from images in over 80 languages, including rare and minority languages.
• High accuracy: Leverages advanced deep learning models to deliver state-of-the-art OCR performance.
• Customizable models: Allows users to train their own models for specific use cases.
• Support for uncommon languages: Includes support for languages like Tibetan, Mongolian, and more, making it unique in the OCR space.
• Multi-platform support: Can run on Windows, Linux, and macOS, with support for both CPU and GPU acceleration.
• Extensive APIs and demos: Provides easy-to-use APIs and demo scripts for quick integration into projects.
git clone https://github.com/PaddlePaddle/PaddleOCR.git.pip install paddlepaddle.cd PaddleOCR.pip install -r requirements.txt to install all necessary dependencies.python tools/infer/predict.py --image_dir="path/to/your/image.jpg" --output_dir="path/to/output/" to extract text from an image.What languages does PaddleOCR support?
PaddleOCR supports over 80 languages, including English, Chinese, French, Spanish, Arabic, and many others.
Can PaddleOCR handle low-quality images?
Yes, PaddleOCR is optimized to handle low-quality images with blur, distortion, or noise, ensuring accurate text extraction.
How do I get support for PaddleOCR?
You can submit issues on GitHub, join the PaddlePaddle community forum, or refer to the official documentation for troubleshooting and guidance.