The text search application has to take the sea of binary data and meticulously sift through all of that. If you look at the binary format of many documents, you’d be hard pressed to read the text through an ocean of surrounding binary codes. While a text search application can go through files more quickly through binary format access, the process takes a lot of backend parsing work. This is the state of a file while sitting on your computer, prior to its retrieval in its relevant application. But whereas a human would typically pull up each file in its associated application, looking at each word processing document in Microsoft Word, each email in Outlook, etc., the text search application takes a different approach: reviewing each file in its binary format. In some way, unindexed search is not dissimilar to a human searching file by file. With this mode, the text search application goes through each file looking for whatever search terms you enter. The first mode of operation is unindexed search. This article explains the different ways a text search application (dtSearch, as an example) can operate. Or you could run a text search application. Losing time looking for that crucial document or email? You could spend countless hours spring cleaning and reorganizing. By Elizabeth Thede, director of sales at dtSearch
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