The Public Knowledge Project's Open Journal Systems, which provides a robust workflow and interface for editing, publishing, and indexing scholarly journal content, has always been somewhat agnostic as to the format of the content itself. Most authors, unsurprisingly, use Microsoft Word for its familiarity and ubiquity during the actual writing process, and the act of getting content from Word format into something that can be easily consumed on the web after that has always been something of a mystery among publishers. Those who have the means will typically outsource or partially automate the markup of an article in XML or an XML-like format, and this XML can then be transformed into HTML on the fly for viewing (OJS does include some stylesheets for this purpose); others, including many smaller open source journals, convert directly to the printable PDF format as a path of least effort, leaving them with something that looks nice on a printed page but potentially not so nice and not too flexible otherwise. For the past two years, PKP has been working on a web service (which integrates into OJS' workflow via a provided plugin) to fully automate the conversion of Word/compatible documents into the National Library of Medicine's standard JATS XML format (the same format which underlies PubMed Central), using fuzzy parsing and machine learning heuristics, and transform documents from there into matching human-readable HTML and PDF. This development, broadly speaking, takes two parts: one, the core OpenOffice/Word 2007 "docx" XML to JATS XML conversion engine, called "meTypeset" developed jointly with Martin Eve of the Open Library of the Humanities, and two, the web service pipeline, which unites meTypeset and other open-source libraries (including LibreOffice, ParsCit, ExifTool, and others). This service provides citation parsing, XMP metadata, and other industry-standard features. Improvement of various parsing features and automated evaluation is ongoing.