Automated Text Recognition: Bringing Handwritten Manuscripts to the Forefront of Digital Research

Presented by: Wiley Digital Archives and Library Journal
Event Date and Time: Wednesday, June 30, 2021 | 11:00 AM-12:00 PM ET, 8:00 AM-9:00 AM PT


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Primary source materials and digital archives fundamentally change traditional research, providing researchers the opportunity to view and expand upon historical backstories, documents, and materials through access to images of records, case studies, manuscripts, reports, drawings, maps, photographs, periodicals, and more.

Automated Text Recognition (ATR) is an AI-driven image recognition program that analyzes handwritten documents, runs the images against a variety of datasets to determine the best match, then attempts to recognize words within these handwritten documents. 

This breakthrough AI dedicated to manuscript exploration accelerates research work, making handwritten content fully discoverable via search, and turning handwriting into easily readable typeset that can be seamlessly utilized for data analysis, quoted, and cited. The implementation of ATR will transform the nature of manuscript research and open the field to new researchers struggling with the requirements and skillset needed for intensive manuscript reading. Through ATR, manuscripts and printed materials will come close to parity in their discoverability for the first time.

Join us for a webinar introducing ATR to the Wiley Digital Archives program, expanding manuscript search and exploration to offer full digital access to seven centuries of handwritten manuscript pages.

Drawing on their personal research, teaching, and collection management backgrounds, our speakers are excited to share the ways in which ATR will transform digital research by supporting unprecedented efficiency, enhanced reach and search results, and access to unique manuscript content, enabling focus on insightful rather than time-consuming work. 


Q&A to follow.


Audience members can expect to learn:
•    How the technology behind ATR works, and the difference between ATR, OCR, and HTR
•    How ATR will enhance research and teaching by expanding search results and efficiency, solving manuscript comprehension challenges
•    How ATR will improve archive collection management and librarianship, supporting institutional objectives and publishing by placing researchers ahead of the curve in their fields



  • Kate Simpson, Lecturer in Information Studies, University of Glasgow
  • Alex Gil, Digital Scholarship Librarian, Columbia University


  • Ray Abruzzi, Publisher, Wiley Digital Archives


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