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Automated Text Recognition – Making (Handwritten) Documents Accessible

This tutorial is aimed at beginners in the use of Automated Text Recognition (ATR) as well as at refreshing and systematizing existing knowledge. In five chapters, the functionality and operation of this new technology is presented. We aim to introduce possible preliminary considerations as well as useful metrics. However, due to the rapid pace of development, we refrain from outlining processes and instructions for action on the specific platforms.

This module places great emphasis on considering the efficiency and benefits of different approaches depending on your specific corpus.

Proposition de citation

Dändliker, Lorenz; Bitterli Laura; Ströbel, Phillip: Ad fontes, Automated Text Recognition – Making (Handwritten) Documents Accessible, CC-BY, 2025. URL: https://www.adfontes.uzh.ch/tutorium/atr.

Titre Sous-titre

Introduction and Overview

1: Unlocking Historical Documents: A Practical Guide to ATR

2: When is the Use of ATR Helpful?

3: Use-Scenarios of ATR with Different Types of Text-Corpora

4: Workflow Recommendation Tool for your Research Project

5: ATR Models

Summary

Credits