{"library":"rapidocr","type":"library","category":null,"description":"RapidOCR is an open-source, multi-platform, multi-language Optical Character Recognition (OCR) toolkit designed for fast and offline deployment. It leverages various inference engines like ONNX Runtime, OpenVINO, MNN, PaddlePaddle, TensorRT, and PyTorch, offering both speed and extensive compatibility by converting PaddleOCR models to ONNX format. The library is currently at version 3.8.1 and maintains a very active release cadence.","language":"python","status":"active","version":"3.8.1","tags":["ocr","computer-vision","ai","text-recognition","document-processing","onnx","paddleocr","rapidocr","rapidocr-onnxruntime","image-processing"],"install":[{"cmd":"pip install rapidocr onnxruntime","imports":["from rapidocr import RapidOCR","from rapidocr import LangRec, ModelType, OCRVersion"]},{"cmd":"pip install rapidocr rapidocr_openvino","imports":[]},{"cmd":"pip install rapidocr rapidocr_paddle","imports":[]},{"cmd":"pip install rapidocr rapidocr_pytorch","imports":[]}],"homepage":null,"github":"https://github.com/RapidAI/RapidOCR","docs":"https://rapidai.github.io/RapidOCRDocs","changelog":"https://github.com/RapidAI/RapidOCR/releases","pypi":"https://pypi.org/project/rapidocr/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":18,"avg_install_s":12.6,"avg_import_s":null,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/rapidocr/compatibility"},"provenance":{"verified_status":"install_fail","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Sun Jul 05","install_tag":null}}