Effortlessly convert multiple (or single) PDFs to LaTeX with a robust tool that extracts both images and text. Integrate it into your project easily, or use on the command-line. CUDA compatible!

Key Features:

Easily install pdf2tex using the pypi package

pip install pdf2tex

venv support is optional with python -m venv .venv

To enable CUDA support for GPU acceleration, you need to replace the standard CPU versions of PyTorch and Torchvision with their CUDA-enabled counterparts. Use the following commands with uv:

1. Uninstall existing CPU versions:

   pip uninstall torch torchvision

2. Install CUDA-enabled versions (e.g., for CUDA 12.6):

   # Replace 'cu126' with your specific CUDA version if needed
   pip install torch torchvision --index-url https://download.pytorch.org/whl/cu126

# Convert a single PDF
pdf2tex --file path/to/your/document.pdf --output ./output_project

# Convert all PDFs in a directory
pdf2tex --path path/to/your/documents/ --output ./output_projects --data ./temp_data

Options:

• --file, -f: Path to the PDF file to convert.
• --path, -p: Path to the directory containing PDFs to convert.
• --output, -o: Output directory for generated LaTeX projects (default: current directory).
• --data, -d: Directory for storing intermediate files (default: data).
• --version: Show the version and exit.
• --help, -h: Show help message and exit.

You can also use pdf2tex directly within your Python scripts:

import pdf2tex

# Basic usage with defaults (output to current directory, 'data' for intermediate files)
pdf2tex.convert_pdf('path/to/document.pdf')

# Specify output and data directories
pdf2tex.convert_pdf(
    pdf_path='path/to/document.pdf',
    output_dir='./my_output_folder',
    data='./my_temp_data'
)

import pdf2tex

# Convert all PDF files in a directory
pdf2tex.convert_pdfs_in_directory(
    directory_path='path/to/pdf_folder',
    output_dir='./latex_projects_output',
    data='./conversion_temp'
)

The main functions available for programmatic use are:

• convert_pdf(pdf_path, output_dir='.', data='data'): Convert a single PDF file.
• convert_pdfs_in_directory(directory_path, output_dir='.', data='data'): Convert all PDFs in a directory.
• convert(source_path, output_dir='.', data=DEFAULT_DATA_FOLDER): Core function that handles both files and directories.
• async_convert(source_path, output_dir='.', data=DEFAULT_DATA_FOLDER): Asynchronous version of convert.

All parameters match the CLI arguments:

• pdf_path/source_path: Path to the PDF file to convert.
• directory_path/source_path: Path to the directory containing PDFs to convert.
• output_dir: Output directory for generated LaTeX projects (default: current directory).
• data: Directory for storing intermediate files (default: data).

To begin developing your own features or contribution to pdf2tex follow the instructions below.

# Clone the repo using git
git clone https://github.com/p3nGu1nZz/pdf2tex.git
cd pdf2tex

# Create environment
python -m venv .venv

# Activate - Linux
source .venv/bin/activate

# or

# Activate - Windows
.venv\Scripts\activate

# Install editable package
pip install -e .[dev]

This project is licensed under the Apache 2.0 License

Please use the following BibTeX entry to cite this project:

@software{oarc,
    author = {Kara Rawson},
    title = {PDF2LaTeX: Effortlessly convert PDFs to LaTeX with image extraction.},
    date = {4-27-2025},
    howpublished = {\url{https://github.com/p3nGu1nZz/pdf2tex}}
}

For questions or support, please contact us at:

• Email: backrqqms@gmail.com
• Issues: GitHub Issues