ByteScout Cloud API Server - DOC To PDF API - Python - Convert DOC To PDF From URL Asynchronously - ByteScout

ByteScout Cloud API Server – DOC To PDF API – Python – Convert DOC To PDF From URL Asynchronously

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How to convert DOC to PDF from URL asynchronously for DOC to PDF API in Python and ByteScout Cloud API Server

Learn to write code convert DOC to PDF from URL asynchronously for DOC to PDF API in Python: Simple How To Tutorial

These source code samples are listed and grouped by their programming language and functions they use. DOC to PDF API in Python can be applied with ByteScout Cloud API Server. 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..

Python code snippet like this for ByteScout Cloud API Server works best when you need to quickly implement DOC to PDF API in your Python application. This sample code in Python is all you need. Just copy-paste it to the code editor, then add a reference to ByteScout Cloud API Server and you are ready to try it! Check Python sample code examples to see if they respond to your needs and requirements for the project.

ByteScout Cloud API Server – free trial version is available on our website. Also, there are other code samples to help you with your Python application included into trial version.

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ConvertDocToPdfFromUrlAsynchronously.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 DOC file. SourceFileURL = "https://bytescout-com.s3.amazonaws.com/files/demo-files/cloud-api/doc-to-pdf/sample.docx" # Destination PDF file name DestinationFile = ".\\result.pdf" # (!) Make asynchronous job Async = True def main(args = None): convertDocToPDF(SourceFileURL, DestinationFile) def convertDocToPDF(uploadedFileUrl, destinationFile): """Converts DOC To PDF using PDF.co Web API""" # Prepare URL for 'DOC To PDF' API request url = "{}/pdf/convert/from/doc?async={}&name={}&url={}".format( BASE_URL, Async, os.path.basename(destinationFile), 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()

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