<figure xmlns="http://www.tei-c.org/ns/1.0"> <graphic url="Pictures/a5afbbc790eaa32ad5eefd624c469b9b.png" /> <head>A <hi rend="bold italic">Composer</hi> is defined within a Java application, which starts a set of <hi rend="bold">Components</hi> that are each available as Docker images that encapsulate tools implemented in other programming languages (e.g. Python, Java or Rust). The sequential annotation enrichment between the individual <hi rend="bold">Components</hi>, which are executed as Docker images, is done using Lua (Ierusalimschy et al., 2007), which performs the UIMA (de)serialization. At the end of each annotation, the individual documents are serialized, whereby various serializers (e.g. CoNLL, TFC, XMI <hi rend="italic">and various database backends</hi>) are available (Abrami et al., 2024). </head> </figure>DUUI (Leonhardt et al., 2023) is designed as a platform-independent annotation framework for the horizontal and vertical distribution of heterogeneous NLP processes towards microservice-oriented homogenization using web services for a unified processing and reuse of unstructured data. Using microservices such as Docker also allows programming language-different as well as version-different NLP tools such as <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">spaCy</hi> (Honnibal et al., 2020), <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">Heideltime</hi> (Strötgen and Gertz, 2015) or <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">GNFinder</hi> (Mozzherin et al., 2024) to be used in a common aggregated pipeline without causing dependency problems between the individual tools, since each instance (in Docker Swarm also in a cluster mode) is running on its own and can be utilized via a REST web service. Unification and implicit reusability of NLP processing is ensured by using the <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">Unstructured Information Management Applications</hi> (UIMA – Ferrucci et al. (2009)) approach as the basis for annotation and serialization on document level. How DUUI can be used as a tool, especially for the digital humanities (c.f. Abrami and Mehler (2024)), will be presented in various hands-on demonstrations, thereby initiating discussions within the community and establishing a forum for exchange on the homogenized usability of heterogeneous annotation tools within one framework.