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OCR Engine based on OCRopy and Kraken using python3. 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.

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Documentation

The documentation of Calamari is hosted here.

Pretrained model repository

Pretrained models are available at (https://github.com/Calamari-OCR/calamari_models). The current release can be accessed here (336 MB).

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},
}

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Files for calamari-ocr, version 2.1.4
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Filename, size calamari_ocr-2.1.4-py3-none-any.whl (193.6 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size calamari_ocr-2.1.4.tar.gz (113.7 kB) File type Source Python version None Upload date Hashes View

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