Calamari-OCR/calamari

Line based ATR Engine based on OCRopy

Python

1,200

451 commits

updated Jun 23, 2026

See the code

README

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OCR Engine based on OCRopy and Kraken using Python 3.

It is designed to both be easy to use from the command line but also be modular to be integrated and customized from other python scripts.

preview

Documentation

The documentation of Calamari is hosted here.

Pretrained model repository

Pretrained models are available at calamari_models and calamari_models_experimental.

Current releases (with individual model tarballs) can be accessed here and here.

Installing

Calamari is available on pypi:

pip install calamari-ocr

Read the docs for further instructions.

Command-Line Interface

See the docs to learn how to use Calamari from the command line.

Calamari API

See the docs to learn how to adapt Calamari for your needs.

Citing Calamari

If you use Calamari in your Research-Project, please cite:

Wick, C., Reul, C., Puppe, F.: Calamari - A High-Performance Tensorflow-based Deep Learning Package for Optical Character Recognition. Digital Humanities Quarterly 14(1) (2020)

@article{wick_calamari_2020,
    title = {Calamari - {A} {High}-{Performance} {Tensorflow}-based {Deep} {Learning} {Package} for {Optical} {Character} {Recognition}},
    volume = {14},
    number = {1},
    journal = {Digital Humanities Quarterly},
    author = {Wick, Christoph and Reul, Christian and Puppe, Frank},
    year = {2020},
}

Calamari-OCR/calamari

Line based ATR Engine based on OCRopy

Python

1,200

451 commits

updated Jun 23, 2026

See the code

README

logo

Python Test codecov Lint Upload Python Package image

OCR Engine based on OCRopy and Kraken using Python 3.

It is designed to both be easy to use from the command line but also be modular to be integrated and customized from other python scripts.

preview

Documentation

The documentation of Calamari is hosted here.

Pretrained model repository

Pretrained models are available at calamari_models and calamari_models_experimental.

Current releases (with individual model tarballs) can be accessed here and here.

Installing

Calamari is available on pypi:

pip install calamari-ocr

Read the docs for further instructions.

Command-Line Interface

See the docs to learn how to use Calamari from the command line.

Calamari API

See the docs to learn how to adapt Calamari for your needs.

Citing Calamari

If you use Calamari in your Research-Project, please cite:

Wick, C., Reul, C., Puppe, F.: Calamari - A High-Performance Tensorflow-based Deep Learning Package for Optical Character Recognition. Digital Humanities Quarterly 14(1) (2020)

@article{wick_calamari_2020,
    title = {Calamari - {A} {High}-{Performance} {Tensorflow}-based {Deep} {Learning} {Package} for {Optical} {Character} {Recognition}},
    volume = {14},
    number = {1},
    journal = {Digital Humanities Quarterly},
    author = {Wick, Christoph and Reul, Christian and Puppe, Frank},
    year = {2020},
}

Project health

Overall

3.3/10

Maintained

0/10

Code review

2/10
OpenSSF Scorecard

Latest release

2.3.1 · Nov 12, 2024

Releases this year

0

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