Search Results for "image"

CRGREP searches for matching text in databases, various document formats, archives and other difficult to access resources. A command line tool for name and content text matching in database tables, plain files, MS Office documents, PDF, archives, MP3 audio, image meta-data, scanned documents, maven dependencies and web resources. CRGREP will search resources within resources of any arbitrary combination or depth, so text within a document within a zip archive, and so on. Here you will find binary downloads and discussion (https://sourceforge.net/p/crgrep/discussion/) . The actual development and issue tracking can be found here: https://bitbucket.org/cryanfuse/crgrep

...It uses hash tables to make the detection of a file type as fast as possible. The signature and mime types lists are stored at simple user-friendly files. This file type detector supports a lot of formats (image, archive, text, documents, audio, video, fonts and others). It also includes Microsoft OLE compound file types. The detector's algorythm has special features to detect text file types like (HTML, XML, JSON, etc.) and text file UNICODE charsets by using their BOMs (Byte order marks). Its small simple interface can be used at the most popular platforms.

Do you have lots of files? I do, particularly image files. There are lots of duplicates and I want to extract a unique set from the larger set. That is what dupless does. Written in Java, using sqlite, it is some simple code that solves the duplicate file problem. All of the code is contained in the .jar file, both source and binary. Currently it writes scripts for use on Linux or Windows.

Now you don't need to rack your brains with making a regexp to extract necessary rows from log files. Just run that tool and you'll get the right Regular Expression. Image how to extract rows with the time amoung your log?

DuMP3 is a duplicate and similar file finder. It finds exact duplicate binaries by hash, similar text files by substring content, images (JPG, BMP, GIF, PNG, etc) by color and audio files (MP3, WAV, OGG, etc) by wave data. Future: fonts, video.