How to split PDF from uploaded file asynchronously for PDF splitting API in Python with PDF.co Web API

Follow this simple tutorial to learn split PDF from uploaded file asynchronously to have PDF splitting API in Python

Every ByteScout tool includes sample Python source codes that you can find here or in the folder with installed ByteScout product. PDF.co Web API helps with PDF splitting 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.

Python code snippet like this for PDF.co Web API works best when you need to quickly implement PDF splitting API in your Python application. For implementation of this functionality, please copy and paste the code below into your app using code editor. Then compile and run your app. You can use these Python sample examples in one or many applications.

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SplitPDFFromUploadedFileAsynchronously.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" # Source PDF file SourceFile = ".\\sample.pdf" # Comma-separated list of page numbers (or ranges) to process. Example: '1,3-5,7-'. Pages = "1-2,3-" # (!) Make asynchronous job Async = True def main(args = None): uploadedFileUrl = uploadFile(SourceFile) if (uploadedFileUrl != None): splitPDF(uploadedFileUrl) def splitPDF(uploadedFileUrl): """Split PDF using PDF.co Web API""" # Prepare requests params as JSON # See documentation: https://apidocs.pdf.co parameters = {} parameters["async"] = Async parameters["pages"] = Pages parameters["url"] = uploadedFileUrl # Prepare URL for 'Split PDF' API request url = "{}/pdf/split".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 resultFilePlaceholder = 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": resJsonImgFiles = requests.get(resultFilePlaceholder) # Download generated PNG files part = 1 for resultFileUrl in resJsonImgFiles.json(): # Download Result File r = requests.get(resultFileUrl, stream=True) localFileUrl = f"Page{part}.pdf" if r.status_code == 200: with open(localFileUrl, 'wb') as file: for chunk in r: file.write(chunk) print(f"Result file saved as \"{localFileUrl}\" file.") else: print(f"Request error: {response.status_code} {response.reason}") part = part + 1 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 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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