Amazon Textract Pipeline Component to add page dimensions to page block types
Project description
Textract-PrettyPrinter
Provides functions to format the output received from Textract in more easily consumable formats incl. CSV or Markdown. amazon-textract-prettyprinter
Install
> python -m pip install amazon-textract-prettyprinter
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
Get FORMS and TABLES as CSV
from textractcaller.t_call import call_textract, Textract_Features
from textractprettyprinter.t_pretty_print import Pretty_Print_Table_Format, Textract_Pretty_Print, get_string
textract_json = call_textract(input_document=input_document, features=[Textract_Features.FORMS, Textract_Features.TABLES])
print(get_string(textract_json=textract_json, table_format=Pretty_Print_Table_Format.csv))
Get string for TABLES using the get_string method
from textractcaller.t_call import call_textract, Textract_Features
from textractprettyprinter.t_pretty_print import Textract_Pretty_Print, get_string
textract_json = call_textract(input_document=input_document, features=[Textract_Features.TABLES])
get_string(textract_json=textract_json, output_type=Textract_Pretty_Print.TABLES)
Print out tables in LaTeX format
from textractcaller.t_call import call_textract, Textract_Features
from textractprettyprinter.t_pretty_print import Textract_Pretty_Print, get_string
textract_json = call_textract(input_document=input_document, features=[Textract_Features.FORMS, Textract_Features.TABLES])
get_tables_string(textract_json=textract_json, table_format=Pretty_Print_Table_Format.latex)
Project details
Release history Release notifications | RSS feed
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
Close
Hashes for amazon-textract-pipeline-pagedimensions-0.0.1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | d1b21d253fd8f58914fde84d13d59e5fdc818321caf225f4d8744d96805bfedb |
|
MD5 | 2c950e362b9ef7e4dce5d401153f8921 |
|
BLAKE2b-256 | 153bb026264f698e6dcb36f065df1a84b51446da37e952cc56a052d2c119af6a |
Close
Hashes for amazon_textract_pipeline_pagedimensions-0.0.1-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | beb029cf7f5f1f644be1d661dccba5351fd772dbf1464710d77e120a55180fd7 |
|
MD5 | b70308f86bb5f110a37d7417147c1148 |
|
BLAKE2b-256 | 645823f98c2ff0db63c3d37da30155f05214501a0e40c07f7cac77a547a270a7 |