Matters stand totally different with the search engines operating in the global network. One can’t rely simply on looking through the available data. Huge volume (Yandex for instance can boast the indexing capacity of more than 11 terabyte of data) of the global chaos of unstructured information will make the simple search not only ineffective but also long and labor-consuming. That’s why lately the focus has shifted towards optimizing and improving quality characteristics of search. But the scheme is still very simple (except for the secret innovations of every separate system) - the phrasal search through the indexed data base with proper consideration for morphology and synonyms. Undoubtedly, such an approach works but doesn’t solve the problem completely. Reading dozens of various articles dedicated to improving search engine with the help of Google or Yandex, one can drive at the conclusion that without knowing the hidden opportunities of these search systems finding a relevant document by the query is a matter of more than a minute, and sometimes more than an hour. The problem is that such a realization of search is very dependent on the query word or phrase, entered by the user. The more indistinct the query the worse is the search. This has become an axiom, or dogma, whichever you prefer.
Of course, intelligently using the key functions of the full text search systems and properly defining the phrase by which the documents and sites are searched, it is possible to get acceptable results. But this would be the result of painstaking mental work and time wasted on looking through irrelevant information with a hope to at least find some clues on how to upgrade the search query. In general, the scheme is the following: enter the phrase, look through several results, making sure that the query was not the right one, enter a new phrase and the stages are repeated till the relevancy of results achieves the highest possible level. But even in that case the chances to find the right document are still few. No average user will voluntary go for the sophistication of “advanced search” (although it is equipped with a number of very useful functions such as the choice of language, file format etc.). The best would be to simply insert the word or phrase and get a ready answer, without particular concern for the means of getting it. Let the horse think – it has a big head. Maybe this is not exactly up to the point, but one of the Google search functions is called “I am feeling lucky!” characterizes very well the existent searching technologies. Nevertheless, the technology works, not ideally and not always justifying the hopes, but if you allow for the complexity of searching through the chaos of Internet data volume, it could be acceptable.

Unique similar search technology in our find text in files utility At present most of the potential customers simply have no clue that there is a find text in files tool for searching similar documents. The problems facing a corporate user can be solved nice and easy. And the name of the game is the SoftInform find text in files technologies. It is important, first of all, to inform the corporate user on SoftInform find text in files solution, its originality and strengths as compared to find text in files competitors, and second of all, to provide turn-key projects (examples) that would demonstrate the ease with which any challenge of corporate search and structuring information is solved by means of our find text in files technology.

20th of January SoftInform Company has released new version of full text search program SearchInform 1.8.02. New version has a number of useful changes, in particular has been made support of .ISO files, as well as new feature to .CSS files in native format.
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The SoftInform Company announces the release of a new version of its full text information search system SearchInform 1.7 and a price reduction for SearchInform Desktop Standard 1.7 by almost one half. Starting from November 1, the standard version of SearchInform Desktop will cost just $29.95.
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