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tabled-pdf

0.1.4

tabled_pdf-0.1.4-py3-none-any.whl

Wheel Details

Project:	tabled-pdf
Version:	0.1.4
Filename:	tabled_pdf-0.1.4-py3-none-any.whl
Download:	[link]
Size:	31587
MD5:	`3ede38b248a313e48dde5f04a05cfcaf`
SHA256:	`f2a9ff97ebe9cb09b66178f2036d4a396cd36fddc4841acf6c93440ff9056eeb`
Uploaded:	2024-10-23 17:35:06 +0000

dist-info

METADATA · WHEEL · RECORD · entry_points.txt

METADATA

Metadata-Version:	2.1
Name:	tabled-pdf
Version:	0.1.4
Summary:	Detect and recognize tables in PDFs and images.
Author:	Vik Paruchuri
Author-Email:	github[at]vikas.sh
Home-Page:	https://github.com/VikParuchuri/tabled
Project-Url:	Repository, https://github.com/VikParuchuri/tabled
License:	GPL-3.0-or-later
Keywords:	table,table-recognition,ocr,pdf
Classifier:	License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier:	Programming Language :: Python :: 3
Classifier:	Programming Language :: Python :: 3.10
Classifier:	Programming Language :: Python :: 3.11
Classifier:	Programming Language :: Python :: 3.12
Classifier:	Programming Language :: Python :: 3.13
Requires-Python:	>=3.10,<4.0
Requires-Dist:	click (<9.0.0,>=8.1.7)
Requires-Dist:	pydantic (<3.0.0,>=2.9.2)
Requires-Dist:	pydantic-settings (<3.0.0,>=2.5.2)
Requires-Dist:	pypdfium2 (<5.0.0,>=4.30.0)
Requires-Dist:	python-dotenv (<2.0.0,>=1.0.1)
Requires-Dist:	scikit-learn (<2.0.0,>=1.5.2)
Requires-Dist:	surya-ocr (<0.7.0,>=0.6.10)
Requires-Dist:	tabulate (<0.10.0,>=0.9.0)
Description-Content-Type:	text/markdown

[Description omitted; length: 7210 characters]

WHEEL

Wheel-Version:	1.0
Generator:	poetry-core 1.9.1
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
extract.py	sha256=fqLgtQQglYYx37hBuz992P2h3FnnWPKHWa6Lqjr_uwQ	3966
run_table_app.py	sha256=AqKFbHoAz6dQLyEsN89nHSJ9sngdXm_nIuWFesGLTDE	314
table_app.py	sha256=YJjHdzrUwpX1WLmf3HjIw9RHzBknJ9AmFSEBteqHVWc	4231
tabled/assignment.py	sha256=ySl5rPc6PXvhlfPRxijtmW1bvG9lfI8tRL63qYBuaLQ	8984
tabled/extract.py	sha256=iKwiNhAJuKMk_1ykADuabHT5ug40F3n0CcWITTo9UN8	1940
tabled/fileinput.py	sha256=YbbeAzQXRe7sHub8LDEt17C8Hc-s2FkGo-oWoRK4Ea0	915
tabled/formats/__init__.py	sha256=HNvZM8iVuGx2IN5-v31I3fmNE9lS5N56ZSizGIQNvUw	461
tabled/formats/common.py	sha256=X6B-2qRQCoEq_he9Yw81RiKS_vdaBmgIE3oH7NmpmwY	1434
tabled/formats/csv.py	sha256=6SanTDrso5o_54wKa_Bfb7YumlS77KH1ZVUv0VQIsmY	865
tabled/formats/html.py	sha256=FkeJIWCd9nXkTynR4WI5XhDDHvrJO0J9uN3S7y0fnQQ	852
tabled/formats/markdown.py	sha256=E_BOY_garjFb0Op_FewRhu268EGM3ncEnqvKpQDz1A0	970
tabled/heuristics/__init__.py	sha256=e0c2RYE_Sl56KuRtf-poh5QsZWOe3dXT6TKEKmTw4-U	1054
tabled/heuristics/cells.py	sha256=BiJaE4wP3sWjAwzBdnso4X3Ci25JbT9jo5E8C4XelMc	2840
tabled/inference/detection.py	sha256=ICXZZbzysr7FSgjc9FN_t-QiQKZOdYzXPkfl3yg1oUM	2772
tabled/inference/models.py	sha256=bBEcM1wEZqZ7YuPZHsOKMJuFh6QXTaMRW1rctZpNeXY	1106
tabled/inference/recognition.py	sha256=Uqh0oro5f4A_89sJND55rGNsCaFK3rCkBlsWb3D8zdw	2709
tabled/schema.py	sha256=rRB2iWX8ml1udZrSbeEfh6tsPJYrk8efxBIMm4BtwPA	1699
tabled/settings.py	sha256=oxjWsXZwzAu2wbUa_ALPTQIindfla-P_q4X-FSGMy08	673
tabled_pdf-0.1.4.dist-info/LICENSE	sha256=ogWVGZv0P2em9cSe4Sk-Femnea4CMW2o4nJbB-wH-EY	35091
tabled_pdf-0.1.4.dist-info/METADATA	sha256=5OiguL4Z0DnyVWVDzixCgSePA-lNv0r4c2XhXp9Jc0U	8312
tabled_pdf-0.1.4.dist-info/WHEEL	sha256=Nq82e9rUAnEjt98J6MlVmMCZb-t9cYE2Ir1kpBmnWfs	88
tabled_pdf-0.1.4.dist-info/entry_points.txt	sha256=VpBxsKXsF5uSCkOUakPg4ea8wC3cQFsOEmUVsduezro	72
tabled_pdf-0.1.4.dist-info/RECORD	—	—

entry_points.txt

[console_scripts]

tabled = extract:main

tabled_gui = run_table_app:run_app