Search capacity:
	over two dozen indexed, unindexed, fielded and full-text search options
	highlights hits in HTML, XML and PDF, while displaying embedded links, formatting and images
	converts other file types — word processor, database, spreadsheet, email and full-text of email attachments, ZIP, Unicode, etc. — to HTML for display with highlighted hits
	built-in Spider adds a third-party or other Web site (public, secure content, password accessible, etc.) to your searchable database
	Spider supports Web-based content (HTML, PDF, XML, etc.) as well as dynamically-generated content (ASP.NET, MS CMS, SharePoint, etc.)

 

Searching Multiple Data Sources Federated searching or distributed searching provides integrated searching of multiple data repositories across a network. Spider lets you index local and remote web-based data, including both static and dynamic data, and public-access and secure sites.

Basic Search Types Natural language searching lets you enter a "plain English" (or any other international language) unstructured search request. Phrase searching finds phrases like: due process of law. Boolean operators like and/or/not can join words and phrases: due process of law and not (equal protection or civil rights). Proximity searching finds a word or phrase within "n" words of another word or phrase: apple pie w/38 peach cobbler. Directed proximity searching finds a word or phrase "n" words before another word or phrase: apple pie pre/38 peach cobbler. Phonic searching finds words that sound alike, like Smythe in a search for Smith. Stemming finds variations on endings, like applies, applied, applying in a search for apply. Numeric range searching finds any number between two numbers, such as between 6 and 36. Macro capabilities make it easy to include frequently used items in a search request. Wildcard support allows ? to hold a single letter place, and * to hold multiple letter places: apple* and not appl?sauce. Regular expressions support provides a way to search for combinations of characters. Digit character matching enables searching for patterns of numbers. Unicode support allows for searching of all Unicode-based international languages, including support for "right to left" languages and special options for Asian character handling.

Fuzzy Searching Fuzzy searching uses a proprietary algorithm to find search terms even if they are misspelled. Search fuzziness adjusts from 0 to 10 so you can fine-tune fuzziness to the level of OCR or typographical errors in your files. A search for alphabet with a fuzziness of 1 would find alphaqet; with a fuzziness of 3, it would find both alphaqet and alpkaqet. Fuzziness is not built into the index, so you can vary fuzziness at the time of each search.

Concept / Synonym / Thesaurus Searching Concept searching lets you look for fast and find quick, speedy, etc. dtSearch offers variable levels of automatic synonym expansion based on a comprehensive semantic network of the English language. You can also add your own thesaurus terms.

OCR and Imaging dtSearch supports the PDF "image with hidden text" format, and can highlight right on the scanned image in this format. dtSearch also supports combined text and image displays in HTML. dtSearch Desktop and Network include a built-in image viewer. dtSearch recommends using fuzzy searching for sifting through possible OCR errors.   OCR and PDF The Adobe PDF file format provides two ways to combine in a single file images and OCR’ed text, or images that have been converted to text through Optical Character Recognition (OCR) software. The "image with hidden text format" stores the complete original image of a scanned document, along with the text obtained through OCR. The text is "hidden" in the sense that simply opening the PDF file displays only the scanned image, not the underlying OCR'ed text. Because the OCR'ed text is "hidden" in the file, however, dtSearch can index and search it.   Another option for combining scanned images and OCR’ed text in a single PDF file uses "small images" for the parts of each scanned page that do not appear to be text. For example, the format would store a picture or a signature as a small image embedded in the page. The format would store the non-picture portion of the page only as OCR’ed text.