Pressroom

Fresh Meadows, NY, November 4, 2021 – Data Conversion Laboratory (DCL), an industry leader in structured data and content transformations, today announces the release of Harmonizer 4.0. Harmonizer analyzes large document collections to identify redundant and near-redundant content in the collection. The software incorporates artificial intelligence (AI) into its text analysis, using natural language processing (NLP). The latest iteration of Harmonizer is now available in a self-serve licensing model in which customers set parameters and run reports on their own scheduled timeline. The analysis can be conducted multiple times over a designated period to measure the effectiveness of eliminating content redundancy.

Customers who use Harmonizer discover that typically more than 50% of the text in a document collection is repetitive. Identifying redundancies is the first step to reducing the amount of content that organizations are managing. Identifying redundant content in a collection also prepares organizations who are adopting DITA as a content structure standard.

Creating leaner content collections improves the consistency of an organization’s brand and communication while ensuring all business units operate with unified source content. Harmonizer reports allow users to navigate massive content collections to eliminate errors and outdated terminology.

“Harmonizer is a powerful tool that organizations use when planning a content reuse strategy or moving to a new platform,” explains Christopher Hill, Product Manager at DCL. “We learned that our existing customers wanted this new licensing model, which allows them to go back to their content collection to validate their own work—have they achieved the desired level of content reuse or have they introduced new repetitive content? These are the answers Harmonizer provides.”

Harmonizer can analyze content in any format – XML, DITA, HTML, SGML, Word, Framemaker, InDesign, PDF, and others. Schedule a demo today to learn more and see Harmonizer in action.

DCL is an active member of and participant in industry organizations that support the management and effective interchange of data and content, such as the Center for Information-Development Management (CIDM), S1000D User Forum, National Information Standards Organization (NISO), Book Industry Study Group (BISG), and Society for Scholarly Publishing (SSP).