{"id":21388,"date":"2018-08-02T18:02:38","date_gmt":"2018-08-02T17:02:38","guid":{"rendered":"https:\/\/jurnsearch.wordpress.com\/?p=21388"},"modified":"2018-08-02T18:02:38","modified_gmt":"2018-08-02T17:02:38","slug":"open-semantic-desktop-search-free-desktop-search-for-windows","status":"publish","type":"post","link":"https:\/\/jurn.link\/jurnsearch\/index.php\/2018\/08\/02\/open-semantic-desktop-search-free-desktop-search-for-windows\/","title":{"rendered":"Open Semantic Desktop Search – free desktop search for Windows"},"content":{"rendered":"

Open Semantic Desktop Search<\/a> an “open source desktop search engine for full text search in documents”, that runs in SOLR on the Windows desktop through Oracle’s free VM VirtualBox<\/a>. It’s been around since late 2015, and is actively being developed, but they obviously don’t employ a publicist to promote it.<\/p>\n

\"\"<\/a><\/p>\n

It has a clean Web-like interface, supports the indexing of a great many file-types including .ePUB and .PDF files, even if they’re inside .ZIP files. Though it can’t yet index the Kindle’s .MOBI ebook files, so you’d need to do an overnight mass-conversion to .ePUB or .PDF using the free Calibre software, and your purchased encrypted Kindle files will still need to be searched using Amazon. <\/p>\n

Despite being run in a VM (often slow in older Windows PCs), Open Semantic Desktop Search can work on…<\/p>\n

“old standard hardware” and “The search engine works even offline or unhosted on a single laptop without need of a intranet or internet connection or a server.”<\/p><\/blockquote>\n

Though online comments suggest you’ll do best with a modern PC, and those with an over-stuffed hard-drive will need to clear 50Gb of disk-space to accommodate both the software and its resulting index. The disk-space needed may be less if you’re only indexing the folder containing the .PDFs and .ePUBs needed for your PhD or book research.<\/p>\n

I haven’t installed and tested it yet, but it’s free and looks good. Apparently it can also auto-OCR inside PDFs that don’t have OCR text, a new feature added in a December 2017 update.<\/p>\n

The search-engine software comes packaged in a 2.8Gb .OVA file that you download. This .OVA is a plugin module for the free VM VirtualBox<\/a> (a 110Mb .EXE download), and the team’s Desktop Search<\/a> page has instructions on how to plug your .OVA into the installed VM. It seems fairly simple to get it up and running.<\/p>\n","protected":false},"excerpt":{"rendered":"

Open Semantic Desktop Search an “open source desktop search engine for full text search in documents”, that runs in SOLR …<\/p>\n

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