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German 19th century newspaper Fraktur

Free Public AI Model for Handwritten Text Recognition with Transkribus

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The model has been trained on 19th century newspapers in German Fraktur. Print style for umlaut varies throughout (superscript “e” vs öäü). 102900 words have been trained and the CER on the validation set is 0.3%.

Model Overview

Name:
DAT 18. Jh M3b_Pylaia
Creator:
TU Darmstadt
Model ID:
28419
Century:
19th
Languages:
German
Script:
Gothic Script
Engine:
PyLaia
Material:
Print
CER on validation set:
0.3 %

DAT 18. Jh M3b_Pylaia is freely available to everyone

Get started with Transkribus and use it for your own Material
You can use this model to automatically transcribe Print documents with Handwritten Text Recgnition in Transkribus. This model can be used in the Transkribus Expert Client as well as in Transkribus Lite.
This AI model was trained to automatically convert text from images of historical Gothic Script documents into editable and searchable text.
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