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[English](README.md) | [简体中文](README_zh-CN.md)

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# Magic-PDF

## Introduction

Magic-PDF is a tool designed to convert PDF documents into Markdown format, capable of processing files stored locally or on object storage supporting S3 protocol.

Key features include:

- Support for multiple front-end model inputs
- Removal of headers, footers, footnotes, and page numbers
- Human-readable layout formatting
- Retains the original document's structure and formatting, including headings, paragraphs, lists, and more
- Extraction and display of images and tables within markdown
- Conversion of equations into LaTeX format
- Automatic detection and conversion of garbled PDFs
- Compatibility with CPU and GPU environments
- Available for Windows, Linux, and macOS platforms


https://github.com/magicpdf/Magic-PDF/assets/11393164/618937cb-dc6a-4646-b433-e3131a5f4070



## Project Panorama

![Project Panorama](docs/images/project_panorama_en.png)

## Flowchart

![Flowchart](docs/images/flowchart_en.png)

### Submodule Repositories

- [pdf-extract-kit](https://github.com/wangbinDL/pdf-extract-kit)
- [Miner-PDF-Benchmark](https://github.com/opendatalab/Miner-PDF-Benchmark)

## Getting Started

### Requirements

- Python 3.9 or newer

### Usage Instructions

#### 1. Install Magic-PDF
```bash
pip install magic-pdf
```

#### 2. Usage via Command Line

###### simple
```bash
cp magic-pdf.template.json to ~/magic-pdf.json
magic-pdf pdf-command --pdf "pdf_path" --model "model_json_path"
```
###### more 
```bash
magic-pdf --help
```

#### 3. Usage via Api

###### Local
```python
image_writer = DiskReaderWriter(local_image_dir)
image_dir = str(os.path.basename(local_image_dir))
jso_useful_key = {"_pdf_type": "", "model_list": model_json}
pipe = UNIPipe(pdf_bytes, jso_useful_key, image_writer)
pipe.pipe_classify()
pipe.pipe_parse()
md_content = pipe.pipe_mk_markdown(image_dir, drop_mode="none")
```

###### Object Storage
```python
s3pdf_cli = S3ReaderWriter(pdf_ak, pdf_sk, pdf_endpoint)
image_dir = "s3://img_bucket/"
s3image_cli = S3ReaderWriter(img_ak, img_sk, img_endpoint, parent_path=image_dir)
pdf_bytes = s3pdf_cli.read(s3_pdf_path, mode=s3pdf_cli.MODE_BIN)
jso_useful_key = {"_pdf_type": "", "model_list": model_json}
pipe = UNIPipe(pdf_bytes, jso_useful_key, s3image_cli)
pipe.pipe_classify()
pipe.pipe_parse()
md_content = pipe.pipe_mk_markdown(image_dir, drop_mode="none")
```

Demo can be referred to [demo.py](demo/demo.py)

## All Thanks To Our Contributors

<a href="https://github.com/magicpdf/Magic-PDF/graphs/contributors">
  <img src="https://contrib.rocks/image?repo=magicpdf/Magic-PDF" />
</a>

## License Information

See [LICENSE.md](LICENSE.md) for details.

## Acknowledgments

- [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)
- [PyMuPDF](https://github.com/pymupdf/PyMuPDF)
