nopaque bundles various tools and services that provide humanities scholars with DH methods and thus can support their various individual research processes. Using nopaque, researchers can subject digitized sources to Optical Character Recognition (OCR). The resulting text files can then be used as a data basis for Natural Language Processing (NLP). The texts are automatically subjected to various linguistic annotations. The data processed via NLP can then be summarized in the web application as corpora and analyzed by means of an information retrieval system through complex search queries. The range of functions of the web application will be successively extended according to the needs of the researchers.
The generated computational workload is handled by a [Docker](https://docs.docker.com/) swarm. A swarm is a group of machines that are running Docker and joined into a cluster. It consists out of two different kinds of members, manager and worker nodes. The swarm setup process is described best in the [Docker documentation](https://docs.docker.com/engine/swarm/swarm-tutorial/).
A shared network space is necessary so that all swarm members have access to all the data. To achieve this a [samba](https://www.samba.org/) share is used.