Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

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	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	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