Parents (Total: 16)

The searched file hash is included in 16 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	5974DAD1489CC23FE1EBB48826E59738
PackageArch	noarch
PackageDescription	PDFMiner is a tool for extracting information from PDF documents. Unlike other PDF-related tools, it focuses entirely on getting and analyzing text data. PDFMiner allows to obtain the exact location of texts in a page, as well as other information such as fonts or lines. It includes a PDF converter that can transform PDF files into other text formats (such as HTML). It has an extensible PDF parser that can be used for other purposes instead of text analysis. Features * Written entirely in Python. (for version 2.4 or newer) * Parse, analyze, and convert PDF documents. * PDF-1.7 specification support. (well, almost) * CJK languages and vertical writing scripts support. * Various font types (Type1, TrueType, Type3, and CID) support. * Basic encryption (RC4) support. * PDF to HTML conversion (with a sample converter web app). * Outline (TOC) extraction. * Tagged contents extraction. * Reconstruct the original layout by grouping text chunks. * PDFMiner is about 20 times slower than other C/C++-based counterparts such as XPdf. Yusuke Shinyama <yusuke at cs dot nyu dot edu>
PackageName	python3-pdfminer
PackageRelease	lp153.3.1
PackageVersion	20191125
SHA-1	12ACCCC98254270C5E94EDB63E17CF45384D0D85
SHA-256	27294B7205E1DE1DA6C48E51FFF11CA3FB8A76680A681340A0B045FA3AE69310

Key	Value
MD5	F98A1E9A5901FF35E1A36D0E196EBC7F
PackageArch	noarch
PackageDescription	PDFMiner is a tool for extracting information from PDF documents. Unlike other PDF-related tools, it focuses entirely on getting and analyzing text data. PDFMiner allows to obtain the exact location of texts in a page, as well as other information such as fonts or lines. It includes a PDF converter that can transform PDF files into other text formats (such as HTML). It has an extensible PDF parser that can be used for other purposes instead of text analysis. Features * Written entirely in Python. (for version 2.4 or newer) * Parse, analyze, and convert PDF documents. * PDF-1.7 specification support. (well, almost) * CJK languages and vertical writing scripts support. * Various font types (Type1, TrueType, Type3, and CID) support. * Basic encryption (RC4) support. * PDF to HTML conversion (with a sample converter web app). * Outline (TOC) extraction. * Tagged contents extraction. * Reconstruct the original layout by grouping text chunks. * PDFMiner is about 20 times slower than other C/C++-based counterparts such as XPdf. Yusuke Shinyama <yusuke at cs dot nyu dot edu>
PackageName	python38-pdfminer
PackageRelease	3.34
PackageVersion	20191125
SHA-1	3CEB64202B36B0DCA35DEE8EDF293F0D2974C40F
SHA-256	EDBEEFFAB7F4024A132F0568BDD9CED9381C63DB27517F13B273F220F122519E

Key	Value
MD5	8BCAEDED61480E1747139738E67FD9E4
PackageArch	noarch
PackageDescription	PDFMiner is a tool for extracting information from PDF documents. Unlike other PDF-related tools, it focuses entirely on getting and analyzing text data. PDFMiner allows to obtain the exact location of texts in a page, as well as other information such as fonts or lines. It includes a PDF converter that can transform PDF files into other text formats (such as HTML). It has an extensible PDF parser that can be used for other purposes instead of text analysis. Features * Written entirely in Python. (for version 2.4 or newer) * Parse, analyze, and convert PDF documents. * PDF-1.7 specification support. (well, almost) * CJK languages and vertical writing scripts support. * Various font types (Type1, TrueType, Type3, and CID) support. * Basic encryption (RC4) support. * PDF to HTML conversion (with a sample converter web app). * Outline (TOC) extraction. * Tagged contents extraction. * Reconstruct the original layout by grouping text chunks. * PDFMiner is about 20 times slower than other C/C++-based counterparts such as XPdf. Yusuke Shinyama <yusuke at cs dot nyu dot edu>
PackageName	python3-pdfminer
PackageRelease	3.1
PackageVersion	20191125
SHA-1	4D909FA6226D48D8F9AFDAF785A76E4FC5E6B38B
SHA-256	B98A252EA943A472BFAED427A0F0FDBA36E483FD9EA102C654ECFBF53F70ECE2

Key	Value
MD5	28883ADEADF93B5052E770530A5888E9
PackageArch	noarch
PackageDescription	PDFMiner is a tool for extracting information from PDF documents. Unlike other PDF-related tools, it focuses entirely on getting and analyzing text data. PDFMiner allows to obtain the exact location of texts in a page, as well as other information such as fonts or lines. It includes a PDF converter that can transform PDF files into other text formats (such as HTML). It has an extensible PDF parser that can be used for other purposes instead of text analysis. Features * Written entirely in Python. (for version 2.4 or newer) * Parse, analyze, and convert PDF documents. * PDF-1.7 specification support. (well, almost) * CJK languages and vertical writing scripts support. * Various font types (Type1, TrueType, Type3, and CID) support. * Basic encryption (RC4) support. * PDF to HTML conversion (with a sample converter web app). * Outline (TOC) extraction. * Tagged contents extraction. * Reconstruct the original layout by grouping text chunks. * PDFMiner is about 20 times slower than other C/C++-based counterparts such as XPdf. Yusuke Shinyama <yusuke at cs dot nyu dot edu>
PackageName	python39-pdfminer
PackageRelease	3.34
PackageVersion	20191125
SHA-1	53EF31AEADE14C5A74225987590577F3AD9927F0
SHA-256	03ADDE845D19A50237A8FFEF8B66957033439CCCBA8B262A21EC73AA96CDD64E

Key	Value
MD5	FE8560F748CE2925463AD5F220B6085D
PackageArch	noarch
PackageDescription	PDFMiner is a tool for extracting information from PDF documents. Unlike other PDF-related tools, it focuses entirely on getting and analyzing text data. PDFMiner allows to obtain the exact location of texts in a page, as well as other information such as fonts or lines. It includes a PDF converter that can transform PDF files into other text formats (such as HTML). It has an extensible PDF parser that can be used for other purposes instead of text analysis. Features * Written entirely in Python. (for version 2.4 or newer) * Parse, analyze, and convert PDF documents. * PDF-1.7 specification support. (well, almost) * CJK languages and vertical writing scripts support. * Various font types (Type1, TrueType, Type3, and CID) support. * Basic encryption (RC4) support. * PDF to HTML conversion (with a sample converter web app). * Outline (TOC) extraction. * Tagged contents extraction. * Reconstruct the original layout by grouping text chunks. * PDFMiner is about 20 times slower than other C/C++-based counterparts such as XPdf. Yusuke Shinyama <yusuke at cs dot nyu dot edu>
PackageName	python3-pdfminer
PackageRelease	lp150.3.1
PackageVersion	20191125
SHA-1	6E5BA0E327696F0BE48D2A4872FA35F7A4268EAD
SHA-256	DC6668C72C43CF96069483CFBE8A29334086A37676D61B150852B0883D41C264

Key	Value
MD5	6563ACD4E8E412023D73193EF9F7FAAC
PackageArch	noarch
PackageDescription	PDFMiner is a tool for extracting information from PDF documents. Unlike other PDF-related tools, it focuses entirely on getting and analyzing text data. PDFMiner allows to obtain the exact location of texts in a page, as well as other information such as fonts or lines. It includes a PDF converter that can transform PDF files into other text formats (such as HTML). It has an extensible PDF parser that can be used for other purposes instead of text analysis. Features * Written entirely in Python. (for version 2.4 or newer) * Parse, analyze, and convert PDF documents. * PDF-1.7 specification support. (well, almost) * CJK languages and vertical writing scripts support. * Various font types (Type1, TrueType, Type3, and CID) support. * Basic encryption (RC4) support. * PDF to HTML conversion (with a sample converter web app). * Outline (TOC) extraction. * Tagged contents extraction. * Reconstruct the original layout by grouping text chunks. * PDFMiner is about 20 times slower than other C/C++-based counterparts such as XPdf. Yusuke Shinyama <yusuke at cs dot nyu dot edu>
PackageName	python38-pdfminer
PackageRelease	3.33
PackageVersion	20191125
SHA-1	924E36FC2020A0B0CBF69A33514F00D0B5851A57
SHA-256	419123B29E3AB6B694BE8D52BEDB7EC0F6F930B26BDE58AB563A0CCBC265C849

Key	Value
MD5	99CE884A4549CF75C06F2930898ADC58
PackageArch	noarch
PackageDescription	PDFMiner is a tool for extracting information from PDF documents. Unlike other PDF-related tools, it focuses entirely on getting and analyzing text data. PDFMiner allows to obtain the exact location of texts in a page, as well as other information such as fonts or lines. It includes a PDF converter that can transform PDF files into other text formats (such as HTML). It has an extensible PDF parser that can be used for other purposes instead of text analysis. Features * Written entirely in Python. (for version 2.4 or newer) * Parse, analyze, and convert PDF documents. * PDF-1.7 specification support. (well, almost) * CJK languages and vertical writing scripts support. * Various font types (Type1, TrueType, Type3, and CID) support. * Basic encryption (RC4) support. * PDF to HTML conversion (with a sample converter web app). * Outline (TOC) extraction. * Tagged contents extraction. * Reconstruct the original layout by grouping text chunks. * PDFMiner is about 20 times slower than other C/C++-based counterparts such as XPdf. Yusuke Shinyama <yusuke at cs dot nyu dot edu>
PackageName	python39-pdfminer
PackageRelease	3.33
PackageVersion	20191125
SHA-1	9445B9F783509C5A20DC6EEDCBC4C8F78E350107
SHA-256	2E4580601585888FDDFE17549968E442A499CCCD6E68EC5FB5D5EDBC43B6654C

Key	Value
MD5	05EDCDE7441809543EA58F0427BD97E5
PackageArch	noarch
PackageDescription	PDFMiner is a tool for extracting information from PDF documents. Unlike other PDF-related tools, it focuses entirely on getting and analyzing text data. PDFMiner allows to obtain the exact location of texts in a page, as well as other information such as fonts or lines. It includes a PDF converter that can transform PDF files into other text formats (such as HTML). It has an extensible PDF parser that can be used for other purposes instead of text analysis. Features * Written entirely in Python. (for version 2.4 or newer) * Parse, analyze, and convert PDF documents. * PDF-1.7 specification support. (well, almost) * CJK languages and vertical writing scripts support. * Various font types (Type1, TrueType, Type3, and CID) support. * Basic encryption (RC4) support. * PDF to HTML conversion (with a sample converter web app). * Outline (TOC) extraction. * Tagged contents extraction. * Reconstruct the original layout by grouping text chunks. * PDFMiner is about 20 times slower than other C/C++-based counterparts such as XPdf. Yusuke Shinyama <yusuke at cs dot nyu dot edu>
PackageName	python310-pdfminer
PackageRelease	3.34
PackageVersion	20191125
SHA-1	C6EAF2C8099BCA886A672E6758271D78DDF83D14
SHA-256	D97EA267CA7E0274D906DB9F99BFDC31C338C992657D7A542F80F438E8E58831

Key	Value
MD5	A3D9B960B785BA510822E1CAC077DB27
PackageArch	noarch
PackageDescription	PDFMiner is a tool for extracting information from PDF documents. Unlike other PDF-related tools, it focuses entirely on getting and analyzing text data. PDFMiner allows to obtain the exact location of texts in a page, as well as other information such as fonts or lines. It includes a PDF converter that can transform PDF files into other text formats (such as HTML). It has an extensible PDF parser that can be used for other purposes instead of text analysis. Features * Written entirely in Python. (for version 2.4 or newer) * Parse, analyze, and convert PDF documents. * PDF-1.7 specification support. (well, almost) * CJK languages and vertical writing scripts support. * Various font types (Type1, TrueType, Type3, and CID) support. * Basic encryption (RC4) support. * PDF to HTML conversion (with a sample converter web app). * Outline (TOC) extraction. * Tagged contents extraction. * Reconstruct the original layout by grouping text chunks. * PDFMiner is about 20 times slower than other C/C++-based counterparts such as XPdf. Yusuke Shinyama <yusuke at cs dot nyu dot edu>
PackageName	python39-pdfminer
PackageRelease	3.34
PackageVersion	20191125
SHA-1	C947B8DEEEDACF203E1564AAAC8512893DDD002F
SHA-256	70E7649DD7C3458B05B527121B0B6B8B1D6C6AE1781939E58B1254A5B9E01B25

Key	Value
MD5	B514CED50B097C8161F8F1AE22EF553E
PackageArch	noarch
PackageDescription	PDFMiner is a tool for extracting information from PDF documents. Unlike other PDF-related tools, it focuses entirely on getting and analyzing text data. PDFMiner allows to obtain the exact location of texts in a page, as well as other information such as fonts or lines. It includes a PDF converter that can transform PDF files into other text formats (such as HTML). It has an extensible PDF parser that can be used for other purposes instead of text analysis. Features * Written entirely in Python. (for version 2.4 or newer) * Parse, analyze, and convert PDF documents. * PDF-1.7 specification support. (well, almost) * CJK languages and vertical writing scripts support. * Various font types (Type1, TrueType, Type3, and CID) support. * Basic encryption (RC4) support. * PDF to HTML conversion (with a sample converter web app). * Outline (TOC) extraction. * Tagged contents extraction. * Reconstruct the original layout by grouping text chunks. * PDFMiner is about 20 times slower than other C/C++-based counterparts such as XPdf. Yusuke Shinyama <yusuke at cs dot nyu dot edu>
PackageName	python310-pdfminer
PackageRelease	3.33
PackageVersion	20191125
SHA-1	CDB453B5ADE3101AEC0D5D071F234D9F4EA085DA
SHA-256	D407EF7DF8B731107E70E9536B07F6BAC6A4916675B428641B7F3842299D73AF