This workshop enables participants to use the Handwritten Text Recognition (HTR) tool Transkribus, a way of rendering historical manuscript material into machine-readable printed text. It showcases how to upload document images to the platform, run automated features like line segmentation and layout/document analysis, as well as how to train an AI-enabled model to automatically transcribe text. Once a trustworthy rendition of the text is transcribed as machine-readable text, institutions and scholars can begin to make the past readable and accessible through audio software and other digital methods.
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