This page displays the step-by-step instructions and algorithm of how to convert PDF to XML from uploaded file asynchronously and how to apply it in your application. ByteScout Cloud API Server helps with PDF to XML API in Python. 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..
This simple and easy to understand sample source code in Python for ByteScout Cloud API Server contains different functions and options you should do calling the API to implement PDF to XML API. Open your Python project and simply copy & paste the code and then run your app! This basic programming language sample code for Python will do the whole work for you in implementing PDF to XML API in your app.
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""" 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"
# Source PDF file
SourceFile = ".\\sample.pdf"
# Comma-separated list of page indices (or ranges) to process. Leave empty for all pages. Example: '0,2-5,7-'.
Pages = ""
# PDF document password. Leave empty for unprotected documents.
Password = ""
# Destination XML file name
DestinationFile = ".\\result.xml"
# (!) Make asynchronous job
Async = True
def main(args = None):
uploadedFileUrl = uploadFile(SourceFile)
if (uploadedFileUrl != None):
convertPdfToXml(uploadedFileUrl, DestinationFile)
def convertPdfToXml(uploadedFileUrl, destinationFile):
"""Converts PDF To Xml using PDF.co Web API"""
# Prepare URL for 'PDF To Xml' API request
url = "{}/pdf/convert/to/xml?async={}&name={}&password={}&pages={}&url={}".format(
BASE_URL,
Async,
os.path.basename(destinationFile),
Password,
Pages,
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
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)
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={ "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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60 Day Free Trial or Visit ByteScout Cloud API Server Home Page
Explore ByteScout Cloud API Server Documentation
Explore Samples
Sign Up for ByteScout Cloud API Server Online Training
Get Your API Key
Explore Web API Docs
Explore Web API Samples