How to analyse PDF documents with Amazon Textract in a Synchronous way?

Question

I need to extract tables from a lot of PDFs I have. To do this I am utilizing AWS Textract Python pipeline. 

If it's not too much trouble, how might I do this without SNS and SQS? I need it to be synchronous: give my pipeline a PDF document, call AWS Textract and get the outcomes. 

Here is the thing that I use then, if it's not too much trouble, Can anyone tell me what should I change:

import boto3

import time

def startJob(s3BucketName, objectName):

    response = None

    client = boto3.client('textract')

    response = client.start_document_text_detection(

    DocumentLocation={

        'S3Object': {

            'Bucket': s3BucketName,

            'Name': objectName

        }

    })

    return response["JobId"]

def isJobComplete(jobId):

    # For production use cases, use SNS based notification 

    # Details at: https://docs.aws.amazon.com/textract/latest/dg/api-async.html

    time.sleep(5)

    client = boto3.client('textract')

    response = client.get_document_text_detection(JobId=jobId)

    status = response["JobStatus"]

    print("Job status: {}".format(status))

    while(status == "IN_PROGRESS"):

        time.sleep(5)

        response = client.get_document_text_detection(JobId=jobId)

        status = response["JobStatus"]

        print("Job status: {}".format(status))

    return status

def getJobResults(jobId):

    pages = []

    client = boto3.client('textract')

    response = client.get_document_text_detection(JobId=jobId)

    pages.append(response)

    print("Resultset page recieved: {}".format(len(pages)))

    nextToken = None

    if('NextToken' in response):

        nextToken = response['NextToken']

    while(nextToken):

        response = client.get_document_text_detection(JobId=jobId, NextToken=nextToken)

        pages.append(response)

        print("Resultset page recieved: {}".format(len(pages)))

        nextToken = None

        if('NextToken' in response):

            nextToken = response['NextToken']

    return pages

# Document

s3BucketName = "ki-textract-demo-docs"

documentName = "Amazon-Textract-Pdf.pdf"

jobId = startJob(s3BucketName, documentName)

print("Started job with id: {}".format(jobId))

if(isJobComplete(jobId)):

    response = getJobResults(jobId)

#print(response)

# Print detected text

for resultPage in response:

    for item in resultPage["Blocks"]:

        if item["BlockType"] == "LINE":

            print ('\033[94m' +  item["Text"] + '\033[0m')

Answer 1

You can't straightforwardly handle PDF documents simultaneously with Textract presently. From the Textract documentation: 

Amazon Textract synchronous operations (DetectDocumentText and AnalyzeDocument) support the PNG and JPEG image formats. Asynchronous operations (StartDocumentTextDetection, StartDocumentAnalysis) also support the PDF file format.

A work-around is to convert the PDF report into pictures in your code and afterward utilize the synchronous API activities with these pictures to handle the documents.

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