The majority of documents processed with semantha are PDF files today. However, in PDF documents, in comparison to other formats such as Word documents (.docx), no document structure can be read out, such as headings, paragraphs, etc. In order to better understand the structure and layout of a PDF file, we have developed the Document Annotator.

The Document Annotator can be used to visually combine documents of the same type, such as package inserts, quotation letters, etc. into one document type. The annotator is taught using sample documents. Here, methods of artificial intelligence (AI) from the field of machine learning (ML) are used to create a document-type model. This model is then applied to new unknown documents of this type to better recognize the document structure. This then helps in the future processing of such documents with semantha, so that they can be processed semantically in an optimal way. 

Additionally, you can also set a document type to ignore certain pages of a document (for example: always ignore the cover page.) or to read only a certain area on the pages (only the upper half of the document or only the right column of a document, e.g. for bilingual documents etc.).