{
  "model_name": "latin_PP-OCRv5_mobile_rec",
  "model_type": "recognition",
  "framework": "PaddleOCR",
  "version": "PP-OCRv5",
  "language_group": "latin",
  "supported_languages": [
    "English",
    "French",
    "German",
    "Afrikaans",
    "Italian",
    "Spanish",
    "Bosnian",
    "Portuguese",
    "Czech",
    "Welsh",
    "Danish",
    "Estonian",
    "Irish",
    "Croatian",
    "Uzbek",
    "Hungarian",
    "Serbian (Latin)",
    "Indonesian",
    "Occitan",
    "Icelandic",
    "Lithuanian",
    "Maori",
    "Malay",
    "Dutch",
    "Norwegian",
    "Polish",
    "Slovak",
    "Slovenian",
    "Albanian",
    "Swedish",
    "Swahili",
    "Tagalog",
    "Turkish",
    "Latin"
  ],
  "description": "PP-OCRv5 Latin script text recognition model (32 languages)",
  "accuracy": 84.7,
  "dataset": "3,111 Latin script images",
  "original_format": "PaddlePaddle",
  "converted_format": "ONNX",
  "opset_version": 11,
  "dictionary_file": "ppocrv5_latin_dict.txt",
  "input_shape": "dynamic (batch_size, 3, 32, dynamic_width)",
  "output_shape": "dynamic (batch_size, sequence_length, num_classes)",
  "source": "https://github.com/PaddlePaddle/PaddleOCR",
  "documentation": "https://www.paddleocr.ai/main/en/version3.x/algorithm/PP-OCRv5/PP-OCRv5_multi_languages.html",
  "usage": {
    "library": "onnxruntime",
    "preprocessing": "Grayscale or RGB image, resized to height=32, normalized",
    "postprocessing": "CTC decoding with character dictionary",
    "dictionary_format": "One character per line, UTF-8 encoding"
  }
}