DocFetcher is an Open Source desktop research application: It allows you to research the contents of files on your own computer. You can think of this as Google for your local documents. The application runs on Windows, Cpanel, and macOS, and is made accessible under the Eclipse Public License. Characteristics and Highlights A conveyable version: There is usually a portable version of DocFetcher that will runs on Windows, Linux and macOS. How this is useful is referred to in more detail further down this particular page. 64-bit support: Both 32-bit in addition to 64-bit operating systems are supported. Unicode support: DocFetcher is sold with rock-solid Unicode support for just about all major formats, including Microsoft Office, OpenOffice. org, PDF, HTML, RTF, and basic text files. Archive support: DocFetcher facilitates the following archive formats: ZIP, 7z, RAR, and the whole tar. 5. family. The file extensions for zero archives can be customized, enabling you to include more zip-based archive formats as required. Also, DocFetcher can handle an endless nesting of archives (e. g. the zip archive containing a 7z store containing a RAR archive... and thus on). Search in source code documents: The file extensions by which DocFetcher recognizes plain text files can end up being customized, so you can use DocFetcher for searching in any kind associated with source code along with other text-based file platforms. (This works very well in combination together with the customizable zip extensions, e. h. for searching in Java source computer code inside Jar files. ) Outlook PST files: DocFetcher allows searching for View emails, which Microsoft Outlook typically shops in PST files. Detection of CODE pairs: By default, DocFetcher detects sets of HTML files (e. g. the file named "foo. html" and the folder named "foo_files"), and treats the particular pair as a single document. This particular feature may seem rather useless from first, but it turned out that will this dramatically boosts the quality of the particular search results when you're dealing together with HTML files, since all the "clutter" inside the HTML folders disappears coming from the results. Regex-based exclusion of documents from indexing: You can use typical expressions to exclude certain files coming from indexing. For example, to exclude Microsof company Excel files, you can use the regular expression like this:. *\. xls Mime-type detection: You can use typical expressions to turn on "mime-type detection" for certain files, which means that DocFetcher may try to detect their actual document types not just by looking from the filename, but also by peeking into the file contents. This arrives in handy for files which may have the particular wrong file extension. Powerful query syntax: In addition to basic constructs such as OR, AND and NOT DocFetcher likewise supports, among other things: Wildcards, expression search, fuzzy search ("find words that will are similar to... "), proximity research ("these two words should be from most 10 words away from every other"), boosting ("increase the score associated with documents containing... ") Download DocFetcher Most recent Version