Identify, validate, and characterize files of known formats with JHOVE, an open source software tool for file format analysis and processing.
JHOVE (JSTOR/Harvard Object Validation Environment) is an open source software framework for performing format identification, validation, and characterization of digital objects. Developed by JSTOR and the Harvard University Library, JHOVE allows for format-specific identification and validation based on semantic knowledge encoded in XML-based modules.
Some key capabilities provided by JHOVE include:
JHOVE contains format modules for common file types such as TIFF, JPEG 2000, PDF, UTF-8, XML, and AIFF. The modular architecture allows new formats to be added through the development of custom modules. It is typically used by memory institutions and digital repositories to process digital object submissions, but is also useful for individuals looking to identify and validate files.
JHOVE is available at no cost and runs on Windows, Mac, Linux, and Solaris systems. It is supported by an active development community focused on improving format support and adding new capabilities. The validating ability and flexible architecture has led to widespread adoption across libraries, archives, and museums.
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