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https://github.com/rapidai/rapidocrpdf

Based on RapidOCR, extract the PDF content.
https://github.com/rapidai/rapidocrpdf

convert extract-pdf-data ocr ocr-pdf

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Based on RapidOCR, extract the PDF content.

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RapidOCR 📄 PDF




PyPI

SemVer2.0

GitHub

### 简介

本仓库依托于[RapidOCR](https://github.com/RapidAI/RapidOCR)仓库,快速提取PDF中文字,包括扫描版PDF、加密版PDF、可直接复制文字版PDF。

🔥🔥🔥 版式还原参见项目:[RapidLayoutRecover](https://github.com/RapidAI/RapidLayoutRecover)

### 整体流程

```mermaid
flowchart LR

A(PDF) --> B{是否可以直接提取内容} --是--> C(PyMuPDF)
B --否--> D(RapidOCR)

C & D --> E(结果)
```

### 安装

```bash
# 基于CPU 依赖rapidocr_onnxruntime
pip install rapidocr_pdf[onnxruntime]

# 基于CPU 依赖rapidocr_openvino 更快
pip install rapidocr_pdf[openvino]

# 基于GPU 依赖rapidocr_paddle
# 1.安装 PaddlePaddle 框架 GPU 版, 参见: https://www.paddlepaddle.org.cn/
# 2.安装 rapidocr_pdf[paddle]
pip install rapidocr_pdf[paddle]
```

### 使用

脚本使用

```python
from rapidocr_pdf import PDFExtracter

pdf_extracter = PDFExtracter()

pdf_path = 'tests/test_files/direct_and_image.pdf'
texts = pdf_extracter(pdf_path, force_ocr=False)
print(texts)
```

命令行使用

```bash
$ rapidocr_pdf -h
usage: rapidocr_pdf [-h] [-path FILE_PATH] [-f]

optional arguments:
-h, --help show this help message and exit
-path FILE_PATH, --file_path FILE_PATH
File path, PDF or images
-f, --force_ocr Whether to use ocr for all pages.

$ rapidocr_pdf -path tests/test_files/direct_and_image.pdf
```

### 输入输出说明

**输入**:`Union[str, Path, bytes]`

**输出**:`List` \[**页码**, **文本内容**, **置信度**\], 具体参见下例:

```python
[
['0', '人之初,性本善。性相近,习相远。', '0.8969868'],
['1', 'Men at their birth, are naturally good.', '0.8969868'],
]
```

### [更新日志](https://github.com/RapidAI/RapidOCRPDF/releases)