MinerU

[](https://github.com/magicpdf/Magic-PDF) [](https://github.com/magicpdf/Magic-PDF) [](https://github.com/magicpdf/Magic-PDF/tree/main/LICENSE) [](https://github.com/magicpdf/Magic-PDF/issues) [](https://github.com/magicpdf/Magic-PDF/issues) [English](README.md) | [简体中文](README_zh-CN.md)

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

Project Panorama

Getting Started

Requirements

• Python 3.9 or newer

Usage Instructions

1. Install Magic-PDF

pip install magic-pdf

2. Usage via Command Line

simple

cp magic-pdf.template.json to ~/magic-pdf.json
magic-pdf pdf-command --pdf "pdf_path" --model "model_json_path"

more

magic-pdf --help

3. Usage via Api

Local

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

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

All Thanks To Our Contributors

License Information

See LICENSE.md for details.

Acknowledgments

• PaddleOCR
• PyMuPDF