Artificial intelligence transforms discoverability of handwritten manuscripts.
Handwritten Text Recognition is going to transform scholarship and the types of questions researchers can ask. The technology has tremendous potential.
Dr Patrick Spero, Director, American Philosophical Society Library
Adam Matthew Digital is the first publisher to utilise artificial intelligence to offer Handwritten Text Recognition (HTR) for its handwritten manuscript collections.
The HTR application takes advantage of the latest advances in neural networks and uses complex algorithms to determine probable combinations of characters to find the search term.
This enables relevant handwritten text to be identified at document level with automated searches deployed through the metadata, allowing users to easily navigate between highlighted search results.
Now available in:
- Colonial America,
- Early Modern England,
- East India Company,
- Food and Drink in History,
- Literary Print Culture,
- Mass Observation Online,
- Mass Observation Project,
- and Medical Services and Warfare
Discover more about Handwritten Text Recognition:
