Skip to main content

Amazon Textract Pipeline Component to add page dimensions to page block types

Project description

Textract-Pipeline-PageDimensions

Provides functions to add page dimensions with doc_width and doc_height to the Textract JSON schema for the PAGE blocks under the custom attribute in the form of:

e. g.

{'PageDimension': {'doc_width': 1549.0, 'doc_height': 370.0} }

Install

> python -m pip install amazon-textract-pipeline-pagedimensions

Make sure your environment is setup with AWS credentials through configuration files or environment variables or an attached role. (https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html)

Samples

Add Page dimensions for a local file

sample uses amazon-textract-caller amazon-textract-pipeline-pagedimensions

python -m pip install amazon-textract-caller
from textractpagedimensions.t_pagedimensions import add_page_dimensions
from textractcaller.t_call import call_textract
from trp.trp2 import TDocument, TDocumentSchema

j = call_textract(input_document='<path to some image file>')
t_document: TDocument = TDocumentSchema().load(j)
add_page_dimensions(t_document=t_document, input_document=input_file)
print(t_document.pages[0].custom['PageDimension']) 
# output will be something like this:
# {
#     'doc_width': 1544,
#     'doc_height': 1065
# }

Using the Amazon Textact Helper command line tool with PageDimensions

Together with the Amazon Textract Helper and Amazon Textract Response Parser, we can build a pipeline that includes information about PageDimension and Orientation of pages as a short demonstration on the information that is added to the Textract JSON.

> python -m pip install amazon-textract-helper amazon-textract-response-parser amazon-textract-pipeline-pagedimensions
> amazon-textract --input-document "s3://amazon-textract-public-content/blogs/2-pager-different-dimensions.pdf" | amazon-textract-pipeline-pagedimensions --input-document "s3://amazon-textract-public-content/blogs/2-pager-different-dimensions.pdf"  | amazon-textract-pipeline --components add_page_orientation | jq '.Blocks[] | select(.BlockType=="PAGE") | .Custom'

{
  "PageDimension": {
    "doc_width": 1549,
    "doc_height": 370
  },
  "Orientation": 0
}
{
  "PageDimension": {
    "doc_width": 1079,
    "doc_height": 505
  },
  "Orientation": 0
}

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

Built Distribution

File details

Details for the file amazon-textract-pipeline-pagedimensions-0.0.7.tar.gz.

File metadata

  • Download URL: amazon-textract-pipeline-pagedimensions-0.0.7.tar.gz
  • Upload date:
  • Size: 8.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.6

File hashes

Hashes for amazon-textract-pipeline-pagedimensions-0.0.7.tar.gz
Algorithm Hash digest
SHA256 69e3767ab441421cb7e2a523cce4fa76fddf57bf3968ae04dcd0ae788df997b1
MD5 076f68aac0c4713c9119d9e5c82bcdb8
BLAKE2b-256 cc40d94207231881d09bc16dd85cc32a3d813848ffc5bf511e7bd3c28103c007

See more details on using hashes here.

File details

Details for the file amazon_textract_pipeline_pagedimensions-0.0.7-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for amazon_textract_pipeline_pagedimensions-0.0.7-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 82ca48edc7212b0a23b7e66e6da67559b1049419c7e6db7dc878185d1df8d5a8
MD5 a523925e8f3ab49f73e42848574f331c
BLAKE2b-256 bf4044ba30c0a7e7a7e95cc1b12b5139197a23351fe55b1e2ad9c90ebc4d931d

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