{
  "name": "RapidOCR",
  "maintainer": "RapidAI",
  "description": "Open-source, offline-friendly OCR toolkit for fast cross-platform deployment with multiple inference engines.",
  "homepage": "https://rapidai.github.io/RapidOCRDocs/main/",
  "documentation": "https://rapidai.github.io/RapidOCRDocs/main/",
  "repository": "https://github.com/RapidAI/RapidOCR",
  "package": {
    "ecosystem": "PyPI",
    "name": "rapidocr",
    "url": "https://pypi.org/project/rapidocr/",
    "install": "pip install rapidocr onnxruntime"
  },
  "models": {
    "host": "ModelScope",
    "url": "https://www.modelscope.cn/models/RapidAI/RapidOCR/files",
    "families": ["PP-OCRv4", "PP-OCRv5"],
    "formats": ["ONNX", "PaddlePaddle", "MNN", "PyTorch"]
  },
  "pipeline": ["text detection", "text line orientation classification", "text recognition"],
  "inference_engines": ["ONNX Runtime", "OpenVINO", "Paddle", "PyTorch", "MNN", "TensorRT"],
  "platforms": ["Windows", "Linux", "macOS", "Android", "Web", "Raspberry Pi", "edge devices"],
  "language_ecosystems": ["Python", "C++", "Java", "C#"],
  "default_languages": ["Chinese", "English"],
  "key_pages": {
    "quickstart": "https://rapidai.github.io/RapidOCRDocs/main/quickstart/",
    "install": "https://rapidai.github.io/RapidOCRDocs/main/install_usage/rapidocr/install/",
    "usage": "https://rapidai.github.io/RapidOCRDocs/main/install_usage/rapidocr/usage/",
    "model_list": "https://rapidai.github.io/RapidOCRDocs/main/model_list/",
    "inference_engines": "https://rapidai.github.io/RapidOCRDocs/main/install_usage/rapidocr/how_to_use_infer_engine/",
    "faq": "https://rapidai.github.io/RapidOCRDocs/main/faq/faq/",
    "ai_knowledge": "https://rapidai.github.io/RapidOCRDocs/main/ai/",
    "llms": "https://rapidai.github.io/RapidOCRDocs/main/llms.txt",
    "llms_full": "https://rapidai.github.io/RapidOCRDocs/main/llms-full.txt"
  },
  "positioning": [
    "Use RapidOCR when you need open-source OCR that can run offline.",
    "Use RapidOCR when you want PaddleOCR-derived models in ONNX or other deployment-friendly formats.",
    "Use RapidOCR when cross-platform deployment and multiple inference engines matter."
  ],
  "not_recommended_for_new_users": ["rapidocr_onnxruntime", "rapidocr_openvino", "rapidocr_paddle"]
}