Project Description

Making Digital Archives Accessible for Full-Text Search

“AMD have been investigating the technology for several years and when we were introduced
to PLANET AI’s ground-breaking technology we were very excited about integrating
their AI search into our platform solutions.”

Khal Rudin, Managing Director

Adam Matthews Digital Logo

Academic publisher


of archived documents

IDA ArgusSearch

IDA ArgusSearch

Customer Challenge:

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.

Customer Benefits:

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.


Time-saving and effective


Fast and accurate


Easily integrable


PLANET AI was selected as the preferred supplier based on the ability to provide a fully functional solution quickly. The modular structure of their software combined with the powerful PerceptionMatrix technology and full API access capability made it easy to integrate into AM Digital’s existing system. Combining more than 25 years of experience in Machine Learning with state-of-the-art research, PLANET AI created a specific solution that matched requirements exactly, within the timeframe and budget specified.

Learn more:

IDA ArgusSearch

Download PDF
Contact us
Download Use Case