How to optimize PDF from URL for PDF optimization API in Python and PDF.co Web API

Step By Step Instructions on how to optimize PDF from URL for PDF optimization API in Python

These simple tutorials explain the code material for beginners and advanced programmers who are using Python. PDF.co Web API helps with PDF optimization API in Python. PDF.co Web API is the Web API with a set of tools for documents manipulation, data conversion, data extraction, splitting and merging of documents. Includes image recognition, built-in OCR, barcode generation and barcode decoders to decode bar codes from scans, pictures and pdf.

The SDK samples displayed below below explain how to quickly make your application do PDF optimization API in Python with the help of PDF.co Web API. For implementation of this functionality, please copy and paste the code below into your app using code editor. Then compile and run your app. Want to see how it works with your data then code testing will allow the function to be tested and work properly.

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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OptimizePdfFromUrl.py

      
import os
import requests # pip install requests

# 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 URL of source PDF file.
SourceFileURL = "https://bytescout-com.s3.amazonaws.com/files/demo-files/cloud-api/pdf-optimize/sample.pdf"
# PDF document password. Leave empty for unprotected documents.
Password = ""
# Destination PDF file name
DestinationFile = ".\\result.pdf"

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


def optimizePDF(uploadedFileUrl, destinationFile):
    """Optimize PDF using PDF.co Web API"""

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

    # Prepare URL for 'Optimize PDF' API request
    url = "{}/pdf/optimize".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:
            #  Get URL of result file
            resultFileUrl = json["url"]            
            # 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}")
        else:
            # Show service reported error
            print(json["message"])
    else:
        print(f"Request error: {response.status_code} {response.reason}")

if __name__ == '__main__':
    main()

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