German, Lower German, Latin 17th century

Free Public AI Model for Handwritten Text Recognition with Transkribus

German, Lower German, Latin 17th century

The HTR-model was trained on the basis of more than 1,500,000 words from about 1300 different writers during the period 1580-1750. It can handle the languages German, Low German and Latin and is able to decipher simple german and latin abbreviations. Besides the usual chancery writings, the training material also contains a selection of concept writings and printed material of the period. The entire training material is based on legal texts or court writings from the Responsa of the Greifswald Law Faculty and the Wismar High Court.

Validation sets are based on a chronological selection of the years: 1580 – 1750 . GT & validation set was produced by Dirk Alvermann, Elisabeth Heigl, Anna Brandt, and Antje Laasch.


Model Overview

Name:
Acta 17 (extended)
Creator:
Dirk Alvermann, Elisabeth Heigl and Anna Brandt of the University of Greifswald
Model ID:
32677
Century:
16th, 17th, 18th
Languages:
German, Latin
Script:
Latin alphabet, German
Engine:
HTR+
Material:
Handwritten
CER on validation set:
7.1 %

Acta 17 (extended) is freely available to everyone

Get started with Transkribus and use it for your own Material
You can use this model to automatically transcribe Handwritten 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 Latin alphabet, German documents into editable and searchable text.