ByteScout Cloud API Server – PDF Make Searchable API – Python – Make Searchable PDF From URL Asynchronously

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ByteScout Cloud API Server – PDF Make Searchable API – Python – Make Searchable PDF From URL Asynchronously

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ByteScout-Cloud-API-Server-Python-Make-Searchable-PDF-From-URL-Asynchronously.pdf

How to PDF make searchable API in Python and ByteScout Cloud API Server

This code in Python shows how to PDF make searchable API with this how to tutorial

An easy to understand sample source code to learn how to PDF make searchable API in Python ByteScout Cloud API Server is API server that is ready to use and can be installed and deployed in less than 30 minutes on your own Windows server or server in a cloud. It can save data and files on your local server-based file storage or in Amazon AWS S3 storage. Data is processed solely on the API server and is powered by ByteScout engine, no cloud services or Internet connection is required for data processing.. It can be applied to PDF make searchable API using Python.

This prolific sample source code in Python for ByteScout Cloud API Server contains various functions and other necessary options you should do calling the API to PDF make searchable API. Just copy and paste the code into your Python application’s code and follow the instructions. Enjoy writing a code with ready-to-use sample Python codes.

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MakeSearchablePdfFromUrlAsynchronously.py

      """ Cloud API asynchronous "PDF To Text" job example.
    Allows to avoid timeout errors when processing huge or scanned PDF documents.
"""
import os
import requests # pip install requests
import time
import datetime

# Please NOTE: In this sample we're assuming Cloud Api Server is hosted at "https://localhost". 
# If it's not then please replace this with with your hosting url.

# Base URL for PDF.co Web API requests
BASE_URL = "https://localhost"

# Direct URL of source PDF file.
SourceFileURL = "https://bytescout-com.s3.amazonaws.com/files/demo-files/cloud-api/pdf-make-searchable/sample.pdf"
# Comma-separated list of page indices (or ranges) to process. Leave empty for all pages. Example: '0,2-5,7-'.
Pages = ""
# PDF document password. Leave empty for unprotected documents.
Password = ""
# Destination PDF file name
DestinationFile = ".\\result.pdf"
# OCR language. "eng", "fra", "deu", "spa"  supported currently. Let us know if you need more.
Language = "eng"
# (!) Make asynchronous job
Async = True


def main(args = None):
    makeSearchablePDF(SourceFileURL, DestinationFile)


def makeSearchablePDF(uploadedFileUrl, destinationFile):
    """Make Searchable PDF using PDF.co Web API"""

    # Prepare URL for 'Make Searchable PDF' API request
    url = "{}/pdf/makesearchable?async={}&name={}&password={}&pages={}&lang={}&url={}".format(
        BASE_URL,
        Async,
        os.path.basename(destinationFile),
        Password,
        Pages,
        Language,
        uploadedFileUrl
    )

    # Execute request and get response as JSON
    response = requests.get(url, headers={  "content-type": "application/octet-stream" })
    if (response.status_code == 200):
        json = response.json()

        if json["error"] == False:
            # Asynchronous job ID
            jobId = json["jobId"]
            #  URL of the result file
            resultFileUrl = json["url"]
            
            # Check the job status in a loop. 
            # If you don't want to pause the main thread you can rework the code 
            # to use a separate thread for the status checking and completion.
            while True:
                status = checkJobStatus(jobId) # Possible statuses: "working", "failed", "aborted", "success".
                
                # Display timestamp and status (for demo purposes)
                print(datetime.datetime.now().strftime("%H:%M.%S") + ": " + status)
                
                if status == "success":
                    # Download result file
                    r = requests.get(resultFileUrl, stream=True)
                    if (r.status_code == 200):
                        with open(destinationFile, 'wb') as file:
                            for chunk in r:
                                file.write(chunk)
                        print(f"Result file saved as \"{destinationFile}\" file.")
                    else:
                        print(f"Request error: {response.status_code} {response.reason}")
                    break
                elif status == "working":
                    # Pause for a few seconds
                    time.sleep(3)
                else:
                    print(status)
                    break
        else:
            # Show service reported error
            print(json["message"])
    else:
        print(f"Request error: {response.status_code} {response.reason}")


def checkJobStatus(jobId):
    """Checks server job status"""

    url = f"{BASE_URL}/job/check?jobid={jobId}"
    
    response = requests.get(url)
    if (response.status_code == 200):
        json = response.json()
        return json["status"]
    else:
        print(f"Request error: {response.status_code} {response.reason}")

    return None


if __name__ == '__main__':
    main()