We believe that digital publishing should take full advantage of the opportunity to make e-books more valuable to users. We want to work with you to unlock the full potential of digital publications during the digital publishing workflow using our cross-platform PDF Unbound toolkit.

At the core of PDF Unbound is our semantic analysis engine for reconstructing the logical structure of input documents. PDF Unbound uses AI that learns to adapt to specific document types, allowing for drastic changes in output visualization without upsetting the structure and flow of the document.

Zinio magazines, PressReader, and Active Textbook-based projects use the PDF Unbound toolkit for directing digital publishing workflow.

What a Digital Publication Should Be

As digital materials are prepared for publication, there is opportunity for many enhancements over a plain document. It starts with small things like references to figures and tables that are clickable for navigation, live URL links, and text selection and highlighting.

More than that, digital publications should meet certain expectations: text that shows up nicely no matter the platform and screen size, images that can be seen in full resolution, full search capability, indexing, and useful tables of contents.

In some cases, the digital publication can be enriched by adding multimedia or interactive elements. All of these tasks have to be done during the publishing process. We present the PDF Unbound toolkit to streamline digital publishing workflow, and quickly move from input document to final presentation.