German 19th century newspaper Fraktur

Free Public AI Model for Handwritten Text Recognition with Transkribus

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.

This page was translated with the help of artificiale intelligence.

If you find any translation errors, please let us know or switch to English:

EN DE IT

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German 19th century newspaper Fraktur

Model Overview

DAT 18. Jh M3b_Pylaia is freely available to everyone

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