Skip to main content

Convert PDF to structured text using Grobid

Project description

pyconverters_grobid

license tests codecov docs version PyPI - Python Version

Convert PDF to structured text using Grobid

Installation

You can simply pip install pyconverters_grobid.

Developing

Pre-requesites

You will need to install flit (for building the package) and tox (for orchestrating testing and documentation building):

python3 -m pip install flit tox

Clone the repository:

git clone https://github.com/oterrier/pyconverters_grobid

Running the test suite

You can run the full test suite against all supported versions of Python (3.8) with:

tox

Building the documentation

You can build the HTML documentation with:

tox -e docs

The built documentation is available at `docs/_build/index.html.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyconverters-grobid-0.5.50.tar.gz (297.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyconverters_grobid-0.5.50-py3-none-any.whl (5.5 kB view details)

Uploaded Python 3

File details

Details for the file pyconverters-grobid-0.5.50.tar.gz.

File metadata

  • Download URL: pyconverters-grobid-0.5.50.tar.gz
  • Upload date:
  • Size: 297.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.27.1

File hashes

Hashes for pyconverters-grobid-0.5.50.tar.gz
Algorithm Hash digest
SHA256 1c644162eb2348f7d472409f7d01973a868c6bce94c5557b514be0d3262d2667
MD5 a86835bf1f505ce2f5737d09cb8846bc
BLAKE2b-256 223f842084865db4a96c2d76379e451c1bff248be3cdfec437631a0fe7beb2d1

See more details on using hashes here.

File details

Details for the file pyconverters_grobid-0.5.50-py3-none-any.whl.

File metadata

File hashes

Hashes for pyconverters_grobid-0.5.50-py3-none-any.whl
Algorithm Hash digest
SHA256 bbcc4a0ff39992f0aec57c96b693b4a23b5bf68dce28904c3b9652ec52970d2c
MD5 dc7d06d44d0879825cacff55acbcc155
BLAKE2b-256 bed079f5bbcc1904c7319189f3f9083f60e07bc7c304004aa8e10e80b71538c0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page