Xenos Group Inc. today announced the general availability of the latest release of its industry leading Xenos d2e Vision(TM) for document print stream transformation and repurposing.

A stand-alone application since its initial release in 2003, Xenos d2e Vision engine has recently been incorporated as the core technology for the Xenos Enterprise Server (Xenos ES) Transformation Services for Documents. Xenos d2e Vision Version 3.1 builds upon the Java-based Xenos Developer Studio(TM) Graphical User Interface (GUI) developed for Xenos ES. It lets users run the GUI on any operating system with a graphical environment.

Additionally, the Xenos Field Technology (XFT) capabilities have been significantly enhanced, making it easier to decompose documents and extract visible information for ECM/ERM (Enterprise Content Management/Enterprise Report Management) archive loading, structured data creation and document repurposing.

"With d2e Vision 3.1, our customers can now process a broader range of print stream documents and images through the support of several additional formats and features," said Jeff Williams, Director of Product Management at Xenos. "By offering a single GUI across our product lines as well as adding significant overall improvements to our document transformation capabilities, we are closer to a convergence within our solutions, and at the same time, helping customers better handle both structured and unstructured data and documents."

Some of the major improvements made in Xenos d2e Vision 3.1 include:

- Extension of the existing support for PCL 6 with the addition of PCL 5, still widely used by many organizations;

- Addition of PCL color output for images, text, shades and vectors;

- Addition of color support for TIFF image input and output;

- Creation of JPEG images in addition to PNG and TIFF;

- Enhanced image support in PDF documents to process the newer image formats JBIG2 and JPEG2000;

- Enhanced font mapping to eliminate the requirement of mapping fonts when converting PDF documents to TIFF images.