Subject Search Sleuth Icon

Subject Search Sleuth

Searches in huge collections of files on PC and LAN; includes API for developers

Subject Search SleuthOverview

SSSleuth is a full text search, information retrieval, and data summarization engine that saves your time and increases your productivity by providing quick access to relevant information available on your personal computer and the Local Area Network (LAN) of your company. Knowledge workers may start using the product once it has been installed; apart from it, software developers are provided with an Application Program Interface (API) to the SSSleuth Search Engine, which is indeed one of the fastest and powerful search and retrieval engines available. It supports queries formulated naturally in all European languages without any exception (including English, French, German, Spanish, Russian, etc.) as well as Arabic, Hebrew, Turkish, Japanese, Korean, Chinese, and virtually any others.

SSSleuth can be used in document management and imaging systems on your personal computer and Local Area Network of your company: it has a built-in mechanism allowing to access, modify and perform simultaneous searches in the same collections of documents from multiple nodes within the Local Area Network of your company. Along with searching, SSSleuth builds automatic document summaries by selecting and highlighting the most essential paragraphs in each file you include in SSSleuth Virtual Folders. You will be amazed of its fast indexing and search speed, accuracy, flexibility, and the ease of use. SSSleuth is designed with flexibility and efficiency in mind -- we hope this pays off as you start using the product in your everyday work or/and integrate it into your own software projects and applications.

NEW

Full Unicode Support and Windows-Vista compliance

Subject Search SleuthInformation

Version
3.01
Date
09.01.07
License
Trial
Language
English
File Size
3.68 MB
Category
Operating Systems
Win2000,Win7 x32,Win7 x64,Win98,WinServer,WinVista,WinVista x64,WinXP
System Requirements
128MB RAM; enough disk space for index files
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