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| Download Text Filterer 2.3 |
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Text Filterer Description:
Text Filterer - Text Filterer is an advanced full text search tool for Windows.
It instantly searches for single words, partial words, Boolean word combinations,
or exact phrases within hierarchically organized collections of documents. Classic
Explorer-like interface allows you to easily switch between found documents viewing
their contents in the preview pane, and navigate through the found entries in the text
forward and back. Search results can be additionally narrowed by conditions imposed
on document name, location, date/time, size, title, author, subject, etc. You create
search queries as persistent filters stored with a collection, so you can reuse them
in different work sessions. Switching between predefined filters gives you an effective
way to explore the contents of a collection. Besides plain text files, Text Filterer
searches in RTF, XLS, HTML, PDF and Unicode files, and uses MS Word (if installed)
while indexing DOC and other MS Word supported files. With Excel files, Text Filterer
provides capability to instantly search multiple files for data by Excel columns and
rows presenting search results in one view. Text Filterer shows search results in the
list view, with documents (or their parts called snippets) as rows, and their attributes
as columns much like Windows Explorer does. For a collection of documents containing
a series of text snippets, similar across the collection, you can make the snippets
units of your searches instead of entire documents. For a collection of documents
having distinguishable pieces of data, similar across the collection, you can create
user-defined data fields to make Text Filterer selectively search inside those pieces
of data. Column data of a search result can be saved to a tab-delimited text file
for later processing with a spreadsheet or database application. Found documents
can be saved to a chosen folder with the option to convert them into plain-text
copies. Text Filterer has built-in support for working with multilingual texts.
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