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PyLaia is a device agnostic, PyTorch based, deep learning toolkit for handwritten document analysis.

It is also a successor to Laia.

Build Coverage Code quality

Python: 3.8+ PyTorch: 1.13.0+ pre-commit: enabled Code style: black

Get started by having a look at our Wiki!

Several (mostly undocumented) examples of its use are provided at PyLaia-examples.


In order to install PyLaia, follow this recipe:

git clone
cd PyLaia
pip install -e .

Please note that the CUDA version of nnutils (nnutils-pytorch-cuda) is installed by default. If you do not have a GPU, you should install the CPU version (nnutils-pytorch).

The following Python scripts will be installed in your system:


Work in this toolkit was financially supported by the Pattern Recognition and Human Language Technology (PRHLT) Research Center


  author = {Joan Puigcerver and Carlos Mocholí},
  title = {PyLaia},
  year = {2018},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{}},
  commit = {commit SHA}

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