Structuring Data and Content Since 1981
Data Conversion Laboratory (DCL) provides data and content transformation services and solutions.
Using the latest innovations in artificial intelligence, including machine learning and natural language processing, DCL helps businesses structure data and content for modern technologies and platforms.
With expertise across many industries, DCL uses advanced technology and US-based project management teams to solve complex conversion challenges and is a recognized leader in XML, DITA, SPL, and S1000D conversions.
OUR SERVICES
Data Conversion/
Transformation
Convert and transform information into structured formats: XML, S1000D, DITA, SPL, proprietary schemas, and others.
Enrichment
Enrich content with new or inferred metadata to improve the utility, discovery, and interoperability of content.
Entity Extraction
Extract free-form text from textual and form-based documents then generate target XML schema.
Data Harvesting
Website harvesting and AI transformations that deliver structured data to your systems.
QA Validation
Independent review of previously converted content. Provide third-party validation and peace of mind.
Content Reuse
Analyze large document collections to identify content reuse across multiple document sets and source formats.
Structured Content Delivery
Submit structured content to customer platforms such as PubMed, Silverchair, Highwire, and many more.
“My experience with DCL on XML conversion is great! Especially converting non-structured content to DITA. The quality of work is consistently good and the team is very prompt in responses."
WHAT PEOPLE SAY
— Sowjanya Singamsetty
THE LATEST FROM DCL
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LavaCon is an industry event for any organization involved with creating, producing, and distributing content. That means YOU!
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Success With the Process Data Module
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READY TO FIND OUT MORE?
Schedule a technology overview today! Meet with one of our technology specialists and let's discuss how your organization will benefit from structured, semantically enriched content and data.