Skip to main content

Extracting content from spesific address books

Project description

historical-text-extraction (hte)

PyPI version

Package to extract text from historical documents. The package is written for personal use.

Installation

The current release from the PyPI repository:

pip install hte

The development version from GitHub with:

pip install git+ssh://git@github.com/eirikberger/hte.git

Note that it is nessecary with a SSH key for this approach to work.

Using it

Import the package

from hte import digitize

The basic setup is the following:

# Define class
book = digitize.Book("data/finnmark_1968.pdf", "books")

# Run methods on the class
book.CreateFolderStructure()
book.PdfImport(page_info=False, from_page=21, to_page=263)
book.Split(multiple_columns=True)
book.RunOCR(type="splits", export_image=False)
book.CombineCleanGroup(ocr_grouping=True, group_type='norway')
book.RegexStructure("norway")

Make sure to install the correct language package for Tesseract.

# Check languages already installed: 
tesseract --list-langs

# Languages available for installation
apt-cache search tesseract-ocr

# Install the Norwegian language pack
sudo apt-get install tesseract-ocr-nor

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

hte-0.0.13.tar.gz (11.6 kB view details)

Uploaded Source

Built Distribution

hte-0.0.13-py3-none-any.whl (11.0 kB view details)

Uploaded Python 3

File details

Details for the file hte-0.0.13.tar.gz.

File metadata

  • Download URL: hte-0.0.13.tar.gz
  • Upload date:
  • Size: 11.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for hte-0.0.13.tar.gz
Algorithm Hash digest
SHA256 e9afc991a7ea04fbc7a04d3bf922a53d2730aae7fe998084f24086f2e3e846e1
MD5 5baad80719788d3c82f87a2af6fc9ec6
BLAKE2b-256 b3a9d5afe410b467c12d6e514bcbee078bb339e441da0c6e028cde863b088bfa

See more details on using hashes here.

File details

Details for the file hte-0.0.13-py3-none-any.whl.

File metadata

  • Download URL: hte-0.0.13-py3-none-any.whl
  • Upload date:
  • Size: 11.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for hte-0.0.13-py3-none-any.whl
Algorithm Hash digest
SHA256 6ecee52d2a34fc32a54c30b041999acbe0503a5233c9deceae599db09aa6a513
MD5 c862dbc886ccdd77696a44551ad8c2c4
BLAKE2b-256 2b42d3ed0816e49a5834ef3be57a6fa1b69de2f9f8474867e1e928f9de731d5b

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