DataXtractor

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1.0.7 DataXtractor-1.0.7-py3-none-any.whl

Wheel Details

Project: DataXtractor
Version: 1.0.7
Filename: DataXtractor-1.0.7-py3-none-any.whl
Download: [link]
Size: 6855
MD5: c19284749ce126585369e3a664598f97
SHA256: d05a905a9f5d8e7a6b21ed5f4bc4081c921d9d9005c5157dfcd55c76e1b2026e
Uploaded: 2023-10-13 11:03:43 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: DataXtractor
Version: 1.0.7
Summary: DataXtractor is a versatile Python library designed to simplify the extraction of valuable data from a variety of sources, including images and PDF documents. Whether you need to extract text, tables, or structured content, DataXtractor provides powerful and intuitive tools to streamline the process.
Author: Rahul Katoch
Author-Email: rahulkatoch99[at]gmail.com
Home-Page: https://github.com/Rahulkatoch99/DataXtractor
License: MIT
Keywords: data extraction pdf image
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.6
Requires-Dist: opencv-python
Requires-Dist: pytesseract
Requires-Dist: pdf2image
Requires-Dist: pdftotext
Description-Content-Type: text/markdown
License-File: LICENSE.txt
[Description omitted; length: 5907 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.34.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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pdf2image_dataextraction/data_extraction2parts.py sha256=fYsovbPlFtXs524_qVc2xpULmIGzI8Jbo2zGluQvmQo 4774
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pdf_dataextraction/data_extraction_pdf.py sha256=_Ju_0GAApXF8Xtt6QlRS9a4uZaMnbJ5E3vvVYBhT3as 209
DataXtractor-1.0.7.dist-info/LICENSE.txt sha256=yc4eaxCNm6p7it-DR9-TpAD1-DuPPmBbjuUAlq5AzEQ 1070
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DataXtractor-1.0.7.dist-info/RECORD

top_level.txt

pdf2image_dataextraction
pdf_dataextraction