Complex documentation processing

The HungaroDoc system is a so-called end-to-end documentation processing system, which integrates the processes of reading understanding and distributing documentation into a unified procedure.

The goal is to make it easier for all those who need to do all these processes manually.

For organizations, institutions and companies, the task to be performed is twofold:

  • Saving and processing documents containing valuable information accumulated over the years. In addition, much of the older documentation is an unstructured, paper-based document. The processing of voice-based documentation can also be of great importance. The task is not only to digitize these documents, but also to group and index them according to some important features (entities), so that later a given document can be easily retrieved and processed from a database based on them.
  • Processing of continuously generated electronic documentation in an integrated workflow.


The HungaroDoc system is a Hungarian-language, self-developed processing and archiving system for structured unstructured and voice-based documentation designed for this special task, which is capable of performing the entire documentation management process with high-efficiency RPA (Robotic Process Automation) tools with minimal human intervention.

Documents include voice-based materials that become written documents following a speech-to-text procedure.

HungaroDoc enables collaboration with other intelligent platforms that can be easily integrated. The system uses the Kofax Capture and Kofax Transformation platforms, as well as customer-specific Hungarian language Speech-to-text platforms.

The whole process contains manual elements only if necessary, for example, in order to compile and group the unstructured documents to be scanned in some logical order as well as to validate and check the performed task.

An integral part of the HungaroDoc system is the HungaroNer natural language processing (NLP) system.

Complex documentation processing
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Complex documentation processing