Amazon Textract Results Parser or trp module packaged and improved for ease of use.
pip install textract-trp
Requires Python 3.6 or newer.
import boto3
import trp
textract_client = boto3.client('textract')
results = textract_client.analyze_document(... your file and other params ...)
doc = trp.Document(results)Now you can examine doc.pages. For example print all the detected on the page:
print(doc.pages[0].text)Or print out the detected tables in CSV format:
for row in doc.pages[0].tables[0].rows:
for cell in row.cells:
print(cell.text.strip(), end=",")
print()Or retrieve text from a given position on the page. For that we have to create Bounding Box with the required coordinates relative to the page.
# Coordinates are from top-left corner [0,0] to bottom-right [1,1]
bbox = trp.BoundingBox(width=0.220, height=0.085, left=0.734, top=0.140)
lines = doc.pages[0].getLinesInBoundingBox(bbox)
# Print only the lines contained in the Bounding Box
for line in lines:
print(line.text)Refer to the Textract blog post and to amazon-textract-code-samples GitHub repository for more details.
The Amazon blog post about Textract
refers to a python module trp.py which used to be quite hard to find. There
are many posts on the internet from people looking for the module, often confused by
the "other trp module" that's got nothing to do with Textract.
Hence I decided to package and publish the trp.py module from the
aws-samples/amazon-textract-code-samples
repository. Fortunately its MIT
license
permits that.
Over time I have made some improvements to the module for ease of use.