Result for 09FC4FB249CC7F512F5DAB07212BF7B4342A2FD1

Query result

Key Value
FileName./usr/share/doc/python3-pyocr/copyright
FileSize2796
MD5BD9A39960A7DCD9266097657604477BF
SHA-109FC4FB249CC7F512F5DAB07212BF7B4342A2FD1
SHA-25675B58EE917998AA26DCE714A241BC89AB4C44EE6B060F091AC872569B7AE2313
SSDEEP48:PhSMkzlF6HDtxNw3SMCNbSL3bN7vAhd8HNheneywfIcsZJhfmMj59ZciXq1n7uP:PhSP6ZPDILr5BvTQdc4zCG0iP
TLSHT1F45155099DE88756178082DE79855C8AE7297E2734E9F5C0315D03CAEF0BD6532878D0
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize24008
MD5F132976213AA3D58754EEF976321F576
PackageDescriptionPython wrapper for OCR engines (Python 3) PyOCR is an optical character recognition (OCR) tool wrapper for Python. That is, it helps using OCR tools from a Python program. . PyOCR can be used as a wrapper for google's Tesseract-OCR or Cuneiform. It can read all image types supported by Pillow, including jpeg, png, gif, bmp, tiff, and others. It also support bounding box data. . This is the Python 3 version of the package.
PackageMaintainerThomas Perret <thomas.perret@phyx.fr>
PackageNamepython3-pyocr
PackageSectionpython
PackageVersion0.8-1
SHA-1F68EE2F1E408412BB2F1AD626A136C0829299151
SHA-256DFAB27243EBD361D035A054176CAAA6D175CBAF6D9C57CD36255081FA3A6CCCE
Key Value
FileSize20432
MD5F490CD234B897D4057947753A62C8A6C
PackageDescriptionPython wrapper for OCR engines (Python 3) PyOCR is an optical character recognition (OCR) tool wrapper for Python. That is, it helps using OCR tools from a Python program. . PyOCR can be used as a wrapper for google's Tesseract-OCR or Cuneiform. It can read all image types supported by Pillow, including jpeg, png, gif, bmp, tiff, and others. It also support bounding box data. . This is the Python 3 version of the package.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-pyocr
PackageSectionpython
PackageVersion0.8-1
SHA-107789268E1F7851B150F54C1B42FF8673209D7AD
SHA-2567AD8FF4F40D013833684207BA839AF90DF59978CB07F8782AD00D244785C29C5