The traditional ePaper usually replicates printed newspapers in a 1:1 format. However, for users who are only interested in individual articles, this approach is often inefficient, as access is usually tied to comprehensive subscription plans or paywall systems. This highlights the need for more user-friendly, article-based access options.
Access to older issues is often limited as well: archive collections are frequently spread across different systems, sometimes available only on-site, and are not consistently digitized or easily searchable.
Automatic article segmentation
Modern technologies open up new possibilities for optimising the use of ePaper content. A key approach is the automatic article segmentation, which enables structured extraction of individual articles from ePaper editions. This allows content to be processed, archived and repurposed in various formats. As a result, additional applications are created, extending the content value chain for publishers and media analysts.
Flexible export options and AI-generated abstracts
Export options – in the original layout or as HTML – enable flexible further processing of the content Additionally, integrated AI technologies enable the automatic generation of concise summaries. Even articles in foreign languages can be handled through AI-generated translations. This enhances productivity and ensures consistent content preparation.
Modern Scan- and OCR-technologies
Historical newspapers and magazines also benefit from innovative digitisation processes. Advanced scanning and OCR (Optical Character Recognition) technologies enable the complete digital conversion of print and e-paper editions. Automated text recognition enhances searchability, significantly improving access to extensive archives.
Efficient tools for journalistic content
The integration of these technologies enhances the value of journalistic content and enables it to be delivered flexibly for a range of applications. A suitable solution is provided by “expaper autocut,” a software developed by DataScan, a company based in Königstein, Germany. This tool facilitates the swift and precise extraction of individual articles from ePaper editions and scans, as well as their searchability. Such systems contribute to making historical archive collections more accessible, improvíng the targeted distribution of content and optimizing resource efficiency in publishing. At the same time, they support the sustainable preservation and utilization of journalistic content in an increasingly fake-news-dominated digital landscape.
