Label: identification+tool

Content with label identification+tool in The Registry (See content from all spaces)
Related Labels: validation, xena, jpg, qa, content-profiling, fixity, ocr, nef, image, tools, audio, psd, video, dependency-analysis, comparison, webarchive, mp3, tiff, gplv2, more » ( - identification, - tool )

Page: DROID
Summary Purpose {}D{}igital R{}ecord O{}bject ID{}entification (DROID): Automatic file format identification tool. Homepage http://www.nationalarchives.gov.uk/informationmanagement/projectsandwork/dr oid.htm Source Code Repository http://digitalpreservation.github.com/droid/ License New ...
Other labels: characterisation, java
Page: Fido
Summary Purpose {}F{}ormat {}I{}dentification for D{}igital O{}bjects Homepage \\ http://www.openplanetsfoundation.org/software/fido Source Code Repository \\ https://github.com/openplanets/fido License \\ Apache 2.0 Open Source License \\ Debian Package ...
Other labels: python, characterisation
Page: JHOVE
Summary Purpose Provides functions to perform formatspecific identification, validation, and characterisation of digital objects. Homepage \\ http://hul.harvard.edu/jhove/ Source Code Repository \\ http://sourceforge.net/projects/jhove/ License \\ JHOVE is made available by JSTOR and the President and Fellows of Harvard ...
Other labels: characterisation, validation
Page: NARA File Analyzer and Metadata Harvester
Summary Purpose NARA File Analyzer and Metadata Harvester allows a user to analyze the contents of a file system or external drive and generates statistics about the contents of the contained directories. Homepage \\ http://blogs.archives.gov/onlinepublicaccess/?p=6270 Source Code Repository ...
Other labels: characterisation, metadata, extraction, fixity
Page: Tika
Summary Purpose Detects and extracts metadata and text content from documents. Homepage \\ http://tika.apache.org/ Source Code Repository \\ https://github.com/apache/tika License \\ Apache License, Version 2.0 \\ Debian Package Description Java based tool ...
Other labels: characterisation, java, extraction