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-0.5.111.tar.gz (642.1 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-0.5.111-py3-none-any.whl (6.7 kB view details)

Uploaded Python 3

File details

Details for the file pyconverters-grobid-0.5.111.tar.gz.

File metadata

  • Download URL: pyconverters-grobid-0.5.111.tar.gz
  • Upload date:
  • Size: 642.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.28.1

File hashes

Hashes for pyconverters-grobid-0.5.111.tar.gz
Algorithm Hash digest
SHA256 c2f274b29f1f878d40a16d49b7bd761569b796c4e12f45782ebae8a4124cc877
MD5 3a03f15728d8899713ff907c4484f1fb
BLAKE2b-256 ba893cb4fda82dcd7ec6c597a2f000ba82d0fc292247acfb722bdef801bfd930

See more details on using hashes here.

File details

Details for the file pyconverters_grobid-0.5.111-py3-none-any.whl.

File metadata

File hashes

Hashes for pyconverters_grobid-0.5.111-py3-none-any.whl
Algorithm Hash digest
SHA256 c85fd79ae491141aa303f8ab2affc78b4ad32d3bded6933ecde2c6c7780dbdaf
MD5 d1b7258755e9ff281a093816c5fa49e5
BLAKE2b-256 7717eb7aed4b27bf8932f401b531cd3324894b7f79b2e215dae70d410d633133

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