With our modularly designed Document Management System Ocelot, we offer an efficient and sustainable solution to support document processing and management in a fully customizable AI-powered pipeline. With the help of Artificial Intelligence, we can perform smart machine reading of such archives and activate the knowledge within this dormant collective brain.
Documents in different file types (PDF, DOC(X), HTML, XML, XLSX, …) are imported automatically or can be added manually with a drag ‘n drop interface. Scanned documents are passed through an OCR (optical character recognition) pipeline. The documents are further cleaned up and semantic duplicate detection removes redundant information.
NLP techniques search for meaningful patterns in the data and automatically derive a custom knowledge model. The knowledge model is then used to add searchable metadata to the documents.
A customized dashboard is built to present the relevant information clearly to the end user. Ocelot’s modular design enables the optimization of the user experience in collaboration with the customer. Data can also be exported to various formats via a REST-API.