ACE utilizes machine learing techniques to pull topic relevant information from existing PDF documents

Analyze

  1. PDF documents submitted to ACE for processing.
  2. The document is scanned for metadata, fonts and images.

Extract

  1. Metadata and images are stored.
  2. A source XML document is created.

Create

  1. Table algorithms scan the source PDF file for tables and builds HTML versions.
  2. Topic algorithms scan the source XML file, identify topics and builds a corresponding ARS.XML.
  3. ACE removes redundant data like headers and footers.

Package

  1. ACE stores all artifacts required to assemble a vPub Smart Manual into an ARS.zip file.

Step 1

25%

Step 2

50%

Step 3

75%

Step 4

100%

ACE automates content transformation in the Gadget ONE services workflow.