Adam Matthew Digital offers digital archives of primary source material for a whole series of sciences – covering history, literature, politics, and more. The challenge lay in structuring and integrating the material – including damaged or barely legible handwritten manuscripts – to their customers and making pretagged documents readily searchable. Research institutions and students that use these documents wanted the ability to identify and search the contents of documents quickly and efficiently by topic, date, or any other content from the archives.
PLANET AI’s Solution:
Leveraging the patented PerceptionMatrix combined with the power of its ArgusSearch technology, PLANET AI helped AM Digital implement a full-text search for all archives.
Searched text is now highlighted in an image of the original document. ArgusSearch is able to find the selected text visually in the document, without the need to transcribe it first. The advantage this brings is that the search does not depend on the quality of the text, which can vary widely throughout the source documents.
AM Digital’s customers now have access to lightning-fast search capabilities with significantly higher accuracy. The PerceptionMatrix preserves potential meaning alternatives – giving the person searching the final say on what is right.
AM Digital can now combine their manual tagging along with PLANET AI’s technology to populate their databases. ArgusSearch eliminated the need to browse tags to find documents, making the whole process dramatically faster and more accurate. As the first publisher utilizing Handwritten Text Recognition (HTR), the client can now offer a new time-saving and precise workflow for researchers and students.