How to convert images to PDF from urls asynchronously for image to PDF API in Python with PDF.co Web API

How to convert images to PDF from urls asynchronously for image to PDF API in Python: Step By Step Instructions

These simple tutorials explain the code material for beginners and advanced programmers who are using Python. Image to PDF API in Python can be applied with PDF.co Web API. PDF.co Web API is the Rest API that provides set of data extraction functions, tools for documents manipulation, splitting and merging of pdf files. Includes built-in OCR, images recognition, can generate and read barcodes from images, scans and pdf.

Python code snippet like this for PDF.co Web API works best when you need to quickly implement image 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 PDF.co Web API and you are ready to try it! Enjoy writing a code with ready-to-use sample Python codes to implement image to PDF API using PDF.co Web API.

PDF.co Web API – 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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ConvertImagesToPdfFromUrlsAsynchronously.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

# The authentication key (API Key).
# Get your own by registering at https://app.pdf.co/documentation/api
API_KEY = "******************************************"

# Base URL for PDF.co Web API requests
BASE_URL = "https://api.pdf.co/v1"

# Direct URLs of image files to convert to PDF document
SourceFiles = [
    "https://bytescout-com.s3.amazonaws.com/files/demo-files/cloud-api/image-to-pdf/image1.png",
    "https://bytescout-com.s3.amazonaws.com/files/demo-files/cloud-api/image-to-pdf/image2.jpg"
]
# Destination PDF file name
DestinationFile = ".\\result.pdf"
# (!) Make asynchronous job
Async = True


def main(args = None):
    SourceFileURL = ",".join(SourceFiles)
    convertImageToPDF(SourceFileURL, DestinationFile)


def convertImageToPDF(uploadedFileUrl, destinationFile):
    """Converts Image To PDF using PDF.co Web API"""

    # Prepare requests params as JSON
    # See documentation: https://apidocs.pdf.co
    parameters = {}
    parameters["async"] = Async
    parameters["name"] = os.path.basename(destinationFile)
    parameters["url"] = uploadedFileUrl

    # Prepare URL for 'Image To PDF' API request
    url = "{}/pdf/convert/from/image".format(BASE_URL)

    # Execute request and get response as JSON
    response = requests.post(url, data=parameters, headers={ "x-api-key": API_KEY })
    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, headers={ "x-api-key": API_KEY })
    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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