If an input file did not exist, could not be downloaded, was a directory, or
Tika could not process it, the result will be as.character(NA) for
that file.
By default, output = "text" and this produces plain text with no
metadata. Some formatting is preserved in this case using tabs, newlines and
spaces.
Setting output to either "xml" or the shortcut "x" will
produce a strict form of HTML known as XHTML, with metadata in
the head node and formatted text in the body.
Content retains more formatting with "xml". For example, a Word or
Excel table will become a HTML table, with table data as text in
td elements. The "html" option and its shortcut "h"
seem to produce the same result as "xml".
Parse XHTML output with xml2::read_html.
Setting output to "jsonRecursive" or its shortcut "J"
produces a tree structure in `json`. Metadata fields are at the top level.
The XHTML or plain text will be found in the X-TIKA:content
field. By default the text is XHTML. This can be changed to plain
text like this: output=c("jsonRecursive","text") or
output=c("J","t"). This syntax is meant to mirror Tika's. Parse
json with jsonlite::fromJSON.
If output_dir is specified, then the converted files will also be
 saved to this directory. It's best to use an empty directory because Tika
 may overwrite existing files. Tika seems to add an extra file extension to
 each file to reduce the chance, but it's still best to use an empty
 directory. The file locations within the output_dir maintain the same
 general path structure as the input files. Downloaded files have a path
 similar to the `tempdir()` that R uses. The original paths are now relative
 to output_dir.  Files are appended with .txt for the default
 plain text, but can be .json, .xml, or .html depending
 on the output setting. One way to get a list of the processed files
 is to use list.files with recursive=TRUE.
 If output_dir is not specified, files are saved to a volatile temp
 directory named by tempdir() and will be deleted when R shuts down.
 If this function will be run on very large batches repeatedly, these
 temporary files can be cleaned up every time by adding
 cleanup=TRUE.