檔案名稱	說明
`PP-OCRv5_server_det_infer.onnx`	文字檢測模型 - 偵測圖片中文字的位置
`PP-OCRv5_server_rec_infer.onnx`	文字辨識模型 - 辨識文字內容
`PP-LCNet_x1_0_textline_ori_infer.onnx`	文字方向分類模型
`PP-LCNet_x1_0_doc_ori_infer.onnx`	文件方向修正模型
`UVDoc_infer.onnx`	文件展平模型
`PP-OCRv5_server_rec_infer.yml`	字符字典配置檔

快速使用

python

from huggingface_hub import hf_hub_download

# 下載文字檢測模型
det_model_path = hf_hub_download(
    repo_id="marsena/paddleocr-onnx-models",
    filename="PP-OCRv5_server_det_infer.onnx"
)

# 下載文字辨識模型  
rec_model_path = hf_hub_download(
    repo_id="marsena/paddleocr-onnx-models",
    filename="PP-OCRv5_server_rec_infer.onnx"
)

一次下載所有模型

python

from huggingface_hub import snapshot_download

# 下載所有模型檔案到本地資料夾
snapshot_download(
    repo_id="marsena/paddleocr-onnx-models",
    local_dir="./paddleocr_onnx"
)

支援的語言和文字類型

語言支援: 簡體中文、繁體中文、英文、日文
文字類型: 印刷體、手寫體、直書文字、旋轉文字、彎曲文字
輸入格式: 圖片檔案 (JPEG, PNG)
運行環境: 支援 CPU 和 GPU 推理

English

Model Files

File	Description
`PP-OCRv5_server_det_infer.onnx`	Text detection model
`PP-OCRv5_server_rec_infer.onnx`	Text recognition model
`PP-LCNet_x1_0_textline_ori_infer.onnx`	Text orientation classification
`PP-LCNet_x1_0_doc_ori_infer.onnx`	Document orientation correction
`UVDoc_infer.onnx`	Document unwarping
`PP-OCRv5_server_rec_infer.yml`	Character dictionary config

Source Models

These ONNX models are converted from official PaddlePaddle PP-OCRv5 models:

Detection Model: PaddlePaddle/PP-OCRv5_server_det
Recognition Model: PaddlePaddle/PP-OCRv5_server_rec
Official Documentation: PP-OCRv5 Introduction

Usage

Download Specific Model

python

from huggingface_hub import hf_hub_download

# Download detection model
det_model_path = hf_hub_download(
    repo_id="marsena/paddleocr-onnx-models",
    filename="PP-OCRv5_server_det_infer.onnx"
)

# Download recognition model  
rec_model_path = hf_hub_download(
    repo_id="marsena/paddleocr-onnx-models",
    filename="PP-OCRv5_server_rec_infer.onnx"
)

Download All Models

python

from huggingface_hub import snapshot_download

# Download all model files to local directory
snapshot_download(
    repo_id="marsena/paddleocr-onnx-models",
    local_dir="./paddleocr_onnx"
)

ONNX Runtime Inference

python

import onnxruntime as ort
import numpy as np

# Load model
session = ort.InferenceSession("PP-OCRv5_server_det_infer.onnx")

# Run inference
input_name = session.get_inputs()[0].name
output = session.run(None, {input_name: input_data})

Model Specifications

Languages: Simplified Chinese, Traditional Chinese, English, Japanese
Text Types: Printed text, handwriting, vertical text, rotated text
Input Format: Images (JPEG, PNG)
Output Format: Bounding boxes + recognized text
Runtime: ONNX Runtime 1.16+
Hardware: CPU and GPU inference supported

License

These models follow the Apache License 2.0, consistent with the original PaddleOCR project.

PaddleOCR Repository: https://github.com/PaddlePaddle/PaddleOCR
License Details: Apache License 2.0

Conversion Information

Conversion Tool: Paddle2ONNX
ONNX Version: 1.12+
Source Framework: PaddlePaddle 2.5+
Conversion Date: January 2025

Citation

If you use these models in your research, please cite the original PaddleOCR paper:

bibtex

@misc{paddleocr2020,
    title={PaddleOCR: Awesome multilingual OCR toolkits},
    author={PaddlePaddle Authors},
    howpublished = {\url{https://github.com/PaddlePaddle/PaddleOCR}},
    year={2020}
}

Issues

For model usage issues, please report to the original PaddleOCR repository:

PaddleOCR Issues: https://github.com/PaddlePaddle/PaddleOCR/issues