OUR SERVICES
Convert and transform information into structured formats: XML, S1000D, DITA, SPL, proprietary schemas, and others.
Independent review of previously converted content. Provide third-party validation and peace of mind.
Enrich content with new or inferred metadata to improve the utility, discovery, and interoperability of content.
Analyze large document collections to identify content reuse across multiple documents and source formats.
Extract free-form text from textual and form-based documents, PDFs, and other formats, then generate target XML schema.
Submit structured content to platforms such as PubMed, Silverchair, HighWire, and more.
Website harvesting and AI transformations that scan HTML, PDF, Excel, etc. and deliver structured data to your systems.
DCL can automate the creation of training sets and structure data sets to support your AI and machine learning projects.
THE LATEST FROM DCL
Data Conversion Laboratory Marks its 45th Year
DCL President Mark Gross sat down to discuss the company's evolution over its 45-year history. He delves into the company's first projects, the challenges of early technology, and how DCL adapted to the digital age. Reflecting on the past, he highlights the enduring need for data conversion and the impact of AI on the industry.
PDF: Anatomy of a Document Format and the Paradox it Presents for AI
In 1990, Dr. John Warnock launched his idea for The Camelot Project . The idea was to create a universal way to share documents across computers, operating systems, or networks without losing formatting. The vision was that a document could be created once, then reliably viewed, printed, and exchanged anywhere with the exact appearance preserved. The PDF, Portable Document Format, was sheer elegance in its simplicity yet beneath that simplicity lay a deeply complex codebase engineered to...
Is Your Metadata Sharing Too Much?
Every file you share, post, and publish carries a second, invisible layer of information that you may overlook. When you hit send on a file or post a file to your organization's SharePoint or CMS, metadata travels with it, including who made it, when, with what software and sometimes a geographic location. But some sensitive information can leak if you don't understand how applications capture metadata.
Structured Content Makes AI Work Better
Generative AI systems work best when the information they consume is organized, explicit, and precise. Structured content formats like XML and JSON provide exactly that – content that is machine‑readable, semantically rich, and consistently organized. Document processing is not simply one problem; rather, it comprises three components that must be considered.
