18. The non-transitory computer storage medium of claim 15 , wherein the plurality of textual content types include Englishtext, Frenchtext, Germantext, Spanishtext, Japanesetext, Chinesetext, Koreantext, Russiantext, Basic_Source, C++_Source, C_Source, Java_Source, FORTRAN_Source, Verilog_Source, VHDL_Source, Assembly_Source, Pascal_Source, Cobol_Source, Ada_Source, Lisp_Source, Perl_Source, XQuery_Source, Hypertext Markup Language, Cascaded Style Sheets, JavaScript, DXF, Spice, Gerber, Mathematica, Matlab, AllegroPCB, ViewLogic, TangoPCAD, BSDL, C_Shell, K_Shell, Bash_Shell, Bourne_Shell, FTP, Telnet, MSExchange, POP3, RFC822, CVS, CMS, SQL, RTSP, MIME, PDF, PS, and Stockdata.
15. A non-transitory computer storage medium having stored thereon data representing instructions that, when executed by a processor of a capture system, cause the processor to perform operations comprising: determining whether a captured object is binary or textual in nature, wherein the object is captured and the captured object is a plurality of packets that are broken down by a capture system and then reassembled; classifying the captured object as one of a plurality of textual content types based on tokens found in the captured object if the captured object is determined to be textual in nature, wherein each of the tokens found in the object have an associated weight and the weights of the tokens are used to determine the content type of the object, and wherein a confidence level is assigned for classifying the content type of the object; and inserting the content type into a content field of a tag that indexes the object in a storage location and contains a plurality of fields to describe the object, wherein the capture system is configured to allow a document that includes the captured object to be forwarded from the capture system to its intended destination at a network node unless a capture rule prohibits forwarding the document based on the document including the captured object; and wherein the instructions further cause the processor to classify the captured object as an encrypted document based on a statistical characteristic of the captured object if the captured object is determined to be binary in nature, wherein the statistical characteristic of the captured object comprises a byte distribution of the captured object.