PaddleOCR: GPU Integration and Troubleshooting

Author(s): Areeb Adnan Khan

Originally published on Towards AI.

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Optical Character Recognition (OCR) is a game-changer for tasks like text extraction from images, document processing, and more. Among the numerous OCR tools available, PaddleOCR stands out as a robust, open-source framework developed by PaddlePaddle. Known for its accuracy and ease of use, PaddleOCR offers developers a flexible platform to train and deploy models seamlessly.

If you’re new to PaddleOCR or worried about running it on GPU, don’t fret. We’ll guide you step by step. By the end of this guide, you’ll run your first PaddleOCR inference on an image. So, let’s dive right in!

PaddleOCR is a part of the PaddlePaddle ecosystem, an industrial AI platform packed with advanced technologies. While PaddlePaddle serves as the backbone with tools, frameworks, and development kits for deep learning, PaddleOCR focuses exclusively on building a rich and practical OCR library.

Together, they create a powerful environment for developers to train better OCR models and deploy them with ease. Whether you’re working on text extraction or creating end-to-end solutions, PaddleOCR simplifies the process.

Before we get into the complexities of GPU integration or advanced configurations, let’s start by running a simple inference to see… Read the full blog for free on Medium.

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Published via Towards AI