Skip to main content

No project description provided

Project description

logo

Python Test Upload Python Package Lint

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.

preview

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},
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

calamari_ocr-2.1.2.tar.gz (111.6 kB view details)

Uploaded Source

Built Distribution

calamari_ocr-2.1.2-py3-none-any.whl (185.8 kB view details)

Uploaded Python 3

File details

Details for the file calamari_ocr-2.1.2.tar.gz.

File metadata

  • Download URL: calamari_ocr-2.1.2.tar.gz
  • Upload date:
  • Size: 111.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.3.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.7.10

File hashes

Hashes for calamari_ocr-2.1.2.tar.gz
Algorithm Hash digest
SHA256 7fe873ca0aba2517d7f01e8564a25a9be38525c28cfaf339d745ec1d337e2b25
MD5 8a2d04cd114787e9b7b4bd10ff26c143
BLAKE2b-256 f0ec74f14c8f65a95d55d481b55772536cea474eb0b6545cfa8b2bf9ad91a19d

See more details on using hashes here.

File details

Details for the file calamari_ocr-2.1.2-py3-none-any.whl.

File metadata

  • Download URL: calamari_ocr-2.1.2-py3-none-any.whl
  • Upload date:
  • Size: 185.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.3.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.7.10

File hashes

Hashes for calamari_ocr-2.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 6493be6d2183b953b9d3adc0421ffd00a21ebc98409127407995ae8bc347e57e
MD5 ffbce505f916b0cd2295179517b23016
BLAKE2b-256 83ea0dc5e5dc3547bb29401d5d270e679f3d028db17219241f84d749c1d22f1a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page