Prior to version 7.0 FileLocator Pro only searched the contents of a file for the term in the Containing Text field.
It can be used to limit the lines a following expression can appear in, e.g. If you find yourself only wanting to search the first X lines of each file you’ll love the LINES operator. The search will be re-run with the new word replacing what was in the Containing text field. Here are some of my favourite new small features: Search AgainĮver found yourself copying text from the Text tab and pasting back into the Containing Text field to do another search? Well now you can simply right-click on the word and click the new Search Again menu option. It’s not always the big features that make the biggest difference, sometimes the ‘small’ features can punch well above their weight. It allows you to save just a single search tab (a Session) or all the open search tabs (a Workspace). Version 7 adds a new Session/Workspace feature so you can save your search results and then re-load them back into FileLocator Pro at a future time. Working with large result sets can take time, sometimes days. Each report can be customized and is available in numerous styles and formats, e.g. Not anymore, FileLocator Pro now includes a dedicated Reporting tab, with reports for Files, Contents, and Keywords.
Although it’s always had the ability to print the Hits tab or export to a file any form of customization required quite a strong technical ability. Reporting has long been a feature we’ve been looking to add to FileLocator Pro. This worked so well for one our beta testers, where search times over 26,000 PDFs went from over 5 minutes down to just 10 seconds, that they were able to use cached searches instead of going with an indexed search solution (avoiding with all the headaches associated with indexing). Version 7 introduces a new Document Caching functionality that allows FileLocator Pro to store converted text in a caching database for use in subsequent searches.
While FileLocator Pro’s multi-thread searching algorithms are lightning fast they can still be slowed by the need to convert large documents into text every time they’re searched.
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