Handwritten Text Recognition

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:


Discover more about Handwritten Text Recognition:

  • The Impact of Handwritten Text Recognition (HTR)

  • Making Handwritten Text Recognition Work For You

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