PaddleOCR

PaddleOCR is an open-source optical character recognition toolchain built on the PaddlePaddle deep learning framework. It provides an end-to-end OCR pipeline designed to detect and recognize text in images across a wide range of languages and scripts, including Chinese and many non-Chinese languages. The project is part of the PaddlePaddle ecosystem and is released under an open-source license.

The toolkit combines multiple models and utilities for text detection, recognition, and layout analysis. It includes pre-trained models for detecting text regions and recognizing characters, along with data processing, evaluation scripts, and a unified Python interface. PaddleOCR supports inference on both CPU and GPU, offers batch processing capabilities, and provides options suitable for deployment in research, industrial, and edge environments. It is designed to be adaptable for scene text and document text tasks and can be extended for multilingual or domain-specific OCR needs.

PaddleOCR is widely used in research and industry for tasks such as document digitization, information extraction, and automated data capture. It features extensive documentation, an active community, and a straightforward installation path, including options to install via Python package managers or by cloning the repository. The project emphasizes accessibility, reproducibility, and ease of customization, with tools to train or fine-tune models on user-provided data and to tailor performance for particular languages or domains.