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tabled-pdf

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0.2.0 tabled_pdf-0.2.0-py3-none-any.whl

Wheel Details

Project: tabled-pdf
Version: 0.2.0
Filename: tabled_pdf-0.2.0-py3-none-any.whl
Download: [link]
Size: 31545
MD5: 1262a660871c2d2a6eb606a7c600e8a2
SHA256: 7f055907d92e4a3322d8c23190eaf552d90dedb4da7f0833eb070c578a6ffe8f
Uploaded: 2024-12-12 17:20:31 +0000

dist-info

METADATA · WHEEL · RECORD · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: tabled-pdf
Version: 0.2.0
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 (<0.9.0,>=0.8.0)
Requires-Dist: tabulate (<0.10.0,>=0.9.0)
Description-Content-Type: text/markdown
[Description omitted; length: 7282 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=upWWROYVB8CjJ0wcb0F_qXTVGQBhCr4ZgotOlQESWV8 4025
run_table_app.py sha256=AqKFbHoAz6dQLyEsN89nHSJ9sngdXm_nIuWFesGLTDE 314
table_app.py sha256=mPBixYztW52fUkFR1R9Mh5FRAmV6JJ8AvfEhxPDc68A 4271
tabled/assignment.py sha256=ySl5rPc6PXvhlfPRxijtmW1bvG9lfI8tRL63qYBuaLQ 8984
tabled/extract.py sha256=lF6CciNGLisNhRu2-xflh-eVkLtPiAIukBQTHz_o9Tc 1962
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=BDZQ-GbV8q6zkIU_kJoTgsKNZR4UvykBOAsktgJqFLQ 900
tabled/formats/markdown.py sha256=ifZweTTEJl2IgQtRVPq4f_6CFBr0sLzXuaEvYvxrhBY 972
tabled/heuristics/__init__.py sha256=e0c2RYE_Sl56KuRtf-poh5QsZWOe3dXT6TKEKmTw4-U 1054
tabled/heuristics/cells.py sha256=BiJaE4wP3sWjAwzBdnso4X3Ci25JbT9jo5E8C4XelMc 2840
tabled/inference/detection.py sha256=8r-R6zBWboomwzfSButai_yo3EC2ngmTlS2BkChTy_k 2519
tabled/inference/models.py sha256=ql5ZfPg-rbBk72qTmNE7Sl_-SYYlss8ihNgOfycnOys 1171
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-0.2.0.dist-info/LICENSE sha256=ogWVGZv0P2em9cSe4Sk-Femnea4CMW2o4nJbB-wH-EY 35091
tabled_pdf-0.2.0.dist-info/METADATA sha256=HVN6bysdo6s46-1iLyGFZ4e5ZwQOtqVK7sXWlMq1IGc 8383
tabled_pdf-0.2.0.dist-info/WHEEL sha256=Nq82e9rUAnEjt98J6MlVmMCZb-t9cYE2Ir1kpBmnWfs 88
tabled_pdf-0.2.0.dist-info/entry_points.txt sha256=VpBxsKXsF5uSCkOUakPg4ea8wC3cQFsOEmUVsduezro 72
tabled_pdf-0.2.0.dist-info/RECORD — —

entry_points.txt

[console_scripts]
tabled = extract:main
tabled_gui = run_table_app:run_app