How to optimize PDF from uploaded file for PDF optimization API in Python using PDF.co Web API
Follow this simple tutorial to learn optimize PDF from uploaded file to have PDF optimization API in Python
If you want a quick and easy way to add a required functionality into your application then check this sample source code documentation. PDF.co Web API was designed to assist PDF optimization API in Python. 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.
If you want to speed up the application’s code writing then Python code samples for Python developers help to implement using PDF.co Web API. Follow the tutorial and copy – paste code for Python into your project’s code editor. Enjoy writing a code with ready-to-use sample Python codes to add PDF optimization API functions using PDF.co Web API in Python.
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OptimizePdfFromUploadedFile.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" # Source PDF file SourceFile = ".\\sample.pdf" # PDF document password. Leave empty for unprotected documents. Password = "" # Destination PDF file name DestinationFile = ".\\result.pdf" def main(args = None): uploadedFileUrl = uploadFile(SourceFile) if (uploadedFileUrl != None): optimizePDF(uploadedFileUrl, DestinationFile) def optimizePDF(uploadedFileUrl, destinationFile): """Optimize uploaded PDF file 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}") def uploadFile(fileName): """Uploads file to the cloud""" # 1. RETRIEVE PRESIGNED URL TO UPLOAD FILE. # Prepare URL for 'Get Presigned URL' API request url = "{}/file/upload/get-presigned-url?contenttype=application/octet-stream&name={}".format( BASE_URL, os.path.basename(fileName)) # Execute request and get response as JSON response = requests.get(url, headers={ "x-api-key": API_KEY }) if (response.status_code == 200): json = response.json() if json["error"] == False: # URL to use for file upload uploadUrl = json["presignedUrl"] # URL for future reference uploadedFileUrl = json["url"] # 2. UPLOAD FILE TO CLOUD. with open(fileName, 'rb') as file: requests.put(uploadUrl, data=file, headers={ "x-api-key": API_KEY, "content-type": "application/octet-stream" }) return uploadedFileUrl else: # Show service reported error print(json["message"]) else: print(f"Request error: {response.status_code} {response.reason}") return None if __name__ == '__main__': main()
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PDF-co-Web-API-Python-Optimize-PDF-From-Uploaded-File.pdf