What is ByteScout Cloud API Server? It is the ready to deploy Web API Server that can be deployed in less than thirty minutes into your own in-house Windows server (no Internet connnection is required to process data!) or into private cloud server. Can store data on in-house local server based storage or in Amazon AWS S3 bucket. Processing data solely on the server using built-in ByteScout powered engine, no cloud services are used to process your data!.
On-demand (REST Web API) version:
Web API (on-demand version)
On-premise offline SDK for Windows:
60 Day Free Trial (on-premise)
import os
import requests # pip install requests
# 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"
# Direct URL of source PDF file.
SourceFileUrl = "https://bytescout-com.s3.amazonaws.com/files/demo-files/cloud-api/pdf-edit/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 PDF file name
DestinationFile = ".//result.pdf"
# Text annotation params
Type = "annotation"
X = 400
Y = 600
Text = "APPROVED"
FontName = "Times New Roman"
FontSize = 24
Color = "FF0000"
def main(args = None):
addTextToExistingPDF(DestinationFile)
def addTextToExistingPDF(destinationFile):
"""Add Text using PDF.co Web API"""
# Prepare URL for 'PDF Edit' API request
url = "{}/pdf/edit/add?name={}&password={}&pages={}&url={}&type={}&x={}&y={}&text={}&fontname={}&size={}&color={}".format(
BASE_URL,
os.path.basename(destinationFile),
Password,
Pages,
SourceFileUrl,
Type,
X,
Y,
Text,
FontName,
FontSize,
Color
)
# 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:
# 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()
See also:
Get Your API Key
See also: