pdf2data-tools 0.1.1

Transforms PDF files into machine readable JSON files

pdf2data

Transforms PDF files into machine-readable JSON files. Extracts tables, figures, text blocks, metadata, and references from scientific papers and documents.

Note: The repository is under active development for an article publication. Some errors are expected. Please report any issues on the issues page.

Installation

From PyPI (recommended)

pip install pdf2data-tools

With optional dependencies

# For the full PDF2Data pipeline (layout detection, OCR, etc.)
pip install pdf2data-tools[pdf2data_pipeline]

From source (development)

conda create --name pdf2data python=3.10
conda activate pdf2data
git clone [e-mail]:Pocoyo7798/pdf2data.git
cd pdf2data
pip install -e .

Usage

As a library

from pdf2data.pdf2data_pipeline import PDF2Data

pipeline = PDF2Data(
    layout_model="DocLayout-YOLO-DocStructBench",
    input_folder="path/to/pdfs",
    output_folder="path/to/results",
)

Command line

# Extract tables and figures
pdf2data_block path_to_folder path_to_results

# Extract text
pdf2data_text path_to_folder path_to_results

# Extract metadata
pdf2data_metadata path_to_folder path_to_results

# Extract references
pdf2data_references path_to_folder path_to_results

Update and Publish (PyPI)

Use this flow when you make changes and want to publish a new package version.

# 1) Bump version in pyproject.toml
# [project]
# version = "0.0.2"

# 2) (Optional) Keep __version__ in sync
# edit pdf2data/__init__.py

# 3) Install/reinstall build tools
python -m pip install --upgrade build twine

# 4) Clean previous artifacts
rm -rf dist build *.egg-info

# 5) Build package
python -m build

# 6) Validate distribution files
python -m twine check dist/*

# 7) Upload to PyPI
python -m twine upload dist/*

When prompted by twine:

• Username: __token__
• Password: your PyPI token (pypi-...)

Verify the release:

pip install --upgrade pdf2data-tools
pip show pdf2data-tools

License

Apache Software License 2.0