Printed Latin and Greek (also German, English, Italian) 15th-19th century | PyLaia

Free Public AI Model for Handwritten Text Recognition with Transkribus

Printed Latin and Greek (also German, English, Italian) 15th-19th century | PyLaia

The “NOSCEMUS General Model” is able to read printed Latin text, especially from the 15th, 16th, 17th and 18th century. The model was released by Stefan Zathammer and it is based on training data coming from the Digital Sourcebook of the NOSCEMUS project.

For the 4th revised and updated version a substantial amount of new pages was added, including prints from the 15th and 19th century and especially Greek texts.

Although the model is tailored towards transcribing (Neo-)Latin texts set in Antiqua-based typefaces, it is also, to a certain degree, able to handle Greek words and words set in (German) Fraktur.

The NOSCEMUS project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 741374).

There is also a HTR+ version of this model, which you can find here.

The NOSCEMUS project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 741374).

Model Overview

Name:
Noscemus GM 4 PyLaia
Creator:
Noscemus project (University of Innsbruck)
Model ID:
29961
Century:
15th, 16th, 17th, 18th
Languages:
English, German, Greek, Italian, Latin
Script:
Latin alphabet, Gothic Script, Greek alphabet
Engine:
PyLaia
Material:
Print
CER on validation set:
0.91 %
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Noscemus GM 4 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 Latin alphabet, Gothic Script, Greek alphabet documents into editable and searchable text.