It works on Windows 10, 8, 7, Vista, XP, 2008, 2012, 2016 Formats Supported: Plain Text Format (txt, cpp, html, etc.) Microsoft Outlook (eml) Microsoft Word (doc, docx) Microsoft Excel (xls, xlsx) Microsoft PowerPoint (ppt, pptx) Portable Document Format (pdf,image pdf) eBook Formats (mobi, epub, etc.) Image (jpg, png, bmp, etc. You can quickly find any text that exists on your computer with the AnyTXT Searcher. AnyTXT Searcher has a powerful document parsing engine built in, which extracts the text of commonly used documents without installing any other software, and combines the built-in high-speed indexing system to store the metadata of the text. and operates relatively fast.AnyTXT Searcher is a powerful local data full-text search engine, it just likes a local disk Google search engine. ![]() It does offer a few different search options to refine your search like Fuzzy Match, Whole Match, File Type, etc. You can mouse over a result and view a preview of the matched keyword without the need to open. It provides a distributed, multi-tenant capable full-text search engine with an HTTP web interface ( REST ) and schema-free JSON documents. Elasticsearch was launched a few years after Solr. It also combines a built-in high-speed indexing system to store the metadata of the text.ĪnyTXT Searcher's UI is simple, only providing you with what is needed to find any text existing on your computer quickly, enter your search parameters, and hit go. Elasticsearch is an open source ( Apache 2 license), RESTful search engine built on the Apache Lucene library. ![]() It has a powerful built-in document parsing engine that extracts the text of commonly used documents without any dependencies. AnyTXT Searcher will come in handy when you need to find a particular file, and search by name has failed, for instance. It is a straightforward but powerful local data full-text search engine that can be utilized as a desktop search application enabling you to find a specific file rapidly. AnyTXT Searcher is a search utility that is designed to help expedite performing targeted searches inside of documents.
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