Metadata-Version: 2.1
Name: deltatextsplitter
Version: 0.0.2
Summary: This packages can efficiently measure the text structure recognition capabilities ofn pdftextsplitter
Home-page: https://gitlab.com/datainnovatielab/public/deltatextsplitter/dist/
Download-URL: https://gitlab.com/datainnovatielab/public/deltatextsplitter/dist/
Author: Unit Data en Innovatie, Ministerie van Infrastructuur en Waterstaat, Netherlands
Author-email: dataloket@minienw.nl
License: MIT
Keywords: NLP,PDF,Text recognition,Structure recognition,ChatGPT
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: setuptools>=59.6.0
Requires-Dist: wheel>=0.41.1
Requires-Dist: build>=0.10.0
Requires-Dist: numpy>=1.25.2
Requires-Dist: pandas>=2.0.3
Requires-Dist: openpyxl>=3.1.2
Requires-Dist: pytest<=7.4.0,>=7.3.0
Requires-Dist: coverage>=7.3.0
Requires-Dist: pylint>=2.17.5
Requires-Dist: pdftextsplitter>=1.2.5

# DeltaTextsplitter package

This package is meant for evaluating the text structure recognition capabilities of the package
[pdftextsplitter](https://pypi.org/project/pdftextsplitter/)
It is under development.

### Excel-parser

from deltattextsplitter import documentclass <br />
mydoc.splitter.set_documentname("mydocument") <br />
mydoc.splitter.set_documentpath("/path/to/document/") <br />
mydoc.splitter.set_outputpath("/path/for/writing/") <br />
mydoc.splitter.standard_params() <br />
mydoc.splitter.process() <br />
mydoc.outputpath = "/path/to/my/new/excel/" <br />
mydoc.export_outcomes() <br />
<br />
And then you have your output excel. You can also read an excel by:
mydoc.referencepath = "/path/to/my/new/excel/" <br />
mydoc.read_references() <br />
and then compare pandas dataframes mydoc.outcomes and mydoc.references
to calculate KPI's and other comparisons.
