{"repo":"py-pdf/benchmarks","free":true,"listed":false,"github":"https://github.com/py-pdf/benchmarks","clone":"git clone https://github.com/py-pdf/benchmarks.git","description":"Benchmarking PDF libraries","language":"Python","stars":338,"topics":["benchmark","data-extraction","mupdf","pdf","poppler-utils","pypdf2","text-extraction"],"license":"BSD-3-Clause","category":"media-processing","readme_excerpt":"PDF Library Benchmarks This benchmark is about reading pure PDF files - notscanned documents and not documents that applied OCR. Benchmarking machine Intel(R) Core(TM) i7-6700HQ CPU @ 2.60GHz Input Documents # Name File Size Pages -: :----------------------------------------------------------------------------------------------- --------: ----: 1 2201.00214 2.4MiB 22 2 GeoTopo-book 5.1MiB 117 3 2201.00151 1.5MiB 12 4 1707.09725 7.0MiB 134 5 2201.00021 2.6MiB 10 6 2201.00037 2.9MiB 33 7 2201.00069 14.7MiB 15 8 2201.00178 2.3MiB 16 9 2201.00201 1.3MiB 9 10 1602.06541 2.9MiB 16 11 2201.00200 284.8KiB 7 12 2201.00022 1.2MiB 14 13 2201.00029 797.6KiB 12 14 1601.03642 1004.9KiB 8 Libraries Name Last PyPI Release License Version Dependencies -----------: :---------------- ------------------------------: -------: :-------------------------------------------------------- pypdfium2 2024-12-19 Apache-2.0 or BSD-3-Clause 4.30.1 PDFium (Foxit/Google) pdfminer.six 2025-05-06 MIT/X 20250506 pdfplumber 2025-06-12 MIT 0.11.7 pdfminer.six pdfrw 2017-09-18 MIT 0.4 pdftotext - GPL 0.86.1 build-essential libpoppler-cpp-dev pkg-config python3-dev PyMuPDF 2025-06-12 GNU AFFERO GPL 3.0 / Commerical 1.26.1 MuPDF pypdf 2025-06-29 BSD 3-Clause 5.7.0 Tika 2025-03-26 Apache v2 3.1.0 Apache Tika Text Extraction Speed # Library Average 1 2 3 4 5 6 7 8 9 10 11 12 13 14 :- :-------------------------------------------------------- :------ :---------------------------------------------- :----------------------","default_branch":null,"files":null,"tree":[],"storefront":"/r/py-pdf","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/py-pdf/benchmarks/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}