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General ideas

What is SearchInform?

SearchInform is a universal powerful text searching tool with a multitude of options and settings. Utilizing this tool is worthwhile not only on a personal computer and home networks, but also in large corporate networks connecting various data sources, including file archives and data bases of different formats. SearchInform will help to save you lots of time when searching for information, making the process much more convenient, efficient and fast, as compared to similar applications. Try SearchInform in action and you will be convinced in this without fail!

SearchInform enable to do?

As has been mentioned, SearchInform enables search for text data. But what is the advantage of using SearchInform as compared to its competitors? The answer is a totally new approach to information search and a very high operation speed. The necessity to provide high searching speed grows in direct proportion to the volume of processed data. While searching in realtively small amount of data will not allow you to fully estimate the advantage of using SearchInform, the difference will be considerable when the volume of data will be round 1 Gb. For example, indexing up to 100000 documents of 1.3 Gb total volume will take less than 40 minutes. And these are estimated numbers for a very modest home PC.
Basically new approach to data search consists in the fact, that SearchInform enables an absolutely unique engine of similar content search. This technology allows to effectively search for documents similar in their content. The algorythm of such search, serving as a basis for SearchInform, was developed and patented by SoftInform company and has no existing analogues. The similar content searching technology allows to:
  • Significantly dicrease the time wasted on searching for and reviewing documents in the data base, identical or very similar in their content;
  • Dicrease time spent on processing duplicate data at the stage of entering the information into an archive (reentry or adding documents very similar in their content);
  • Forming sets of documents by subject, which considerably simplifies work with large archives of unstructured (not divided into categories, rubrics) data

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