Search Results for "image text input"

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. ...

...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.

bnf2xml a simple BNF parser that takes text as input, searches according to a BNF query file, and outputs text marked up by the xml labels that show context. bnf2xml is as simple to use as any text binary ie, awk(1) grep(1). bnf2xml does not require C API because it outputs simple xml labeling. README is visible on file dl page. EXAMPLE: $ echo "hi" | bnf2xml patternfile <word><alph>h</alph><alph>i</alph></word> or <gas>hydrogen iodide</gas> patternfile says how to find needle in haystack and what to show, ie: <alph> ::= a | b | c | d ... ...

Sgrep (sorted grep) is a much faster alternative to traditional Unix grep when searching large files, because sgrep searches sorted input files using a fast binary search to find matching lines.

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.