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 (255 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-2.2.1.tar.gz (126.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

calamari_ocr-2.2.1-py3-none-any.whl (198.5 kB view details)

Uploaded Python 3

File details

Details for the file calamari_ocr-2.2.1.tar.gz.

File metadata

  • Download URL: calamari_ocr-2.2.1.tar.gz
  • Upload date:
  • Size: 126.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.25.1 requests-toolbelt/0.9.1 urllib3/1.26.2 tqdm/4.56.0 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.12

File hashes

Hashes for calamari_ocr-2.2.1.tar.gz
Algorithm Hash digest
SHA256 342ffe0f8064373c2cbe899b48d50e257a40aa9a2c4b4641d381fa962d7046f8
MD5 79433c3de67764aa069cfadfe3915c7e
BLAKE2b-256 9ea2ee47382fe80c40ae62f325cea401cbd14119e54be36e1303fec528f42ba8

See more details on using hashes here.

File details

Details for the file calamari_ocr-2.2.1-py3-none-any.whl.

File metadata

  • Download URL: calamari_ocr-2.2.1-py3-none-any.whl
  • Upload date:
  • Size: 198.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.25.1 requests-toolbelt/0.9.1 urllib3/1.26.2 tqdm/4.56.0 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.12

File hashes

Hashes for calamari_ocr-2.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 2ace1b2d1b03386d59de6b1132d5ed3164ba5ea794fa9318053dc3295167045c
MD5 83f6bd73a34c404f3d353b78066b3bcf
BLAKE2b-256 74e168da7ac97deaca3729e3d91a1d9beffbcadec05c00d7cb5996e64901bf32

See more details on using hashes here.

Supported by

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