How to rasterize a Text PDF into an image-based PDF in Python

PDF rasterization is definitely not an exciting topic, as I’m sure you are aware. So why deal with coding out its implementation yourself? I’ve got a lovely API here that will have you up and running faster than you can finish your coffee.

It all begins with client installation, as you see here:

pip install cloudmersive-convert-api-client

Next we will instance our API and use it to call edit_pdf_rasterize.

from __future__ import print_function
import time
import cloudmersive_convert_api_client
from cloudmersive_convert_api_client.rest import ApiException
from pprint import pprint
# Configure API key authorization: Apikey
configuration = cloudmersive_convert_api_client.Configuration()
configuration.api_key['Apikey'] = 'YOUR_API_KEY'
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['Apikey'] = 'Bearer'
# create an instance of the API class
api_instance = cloudmersive_convert_api_client.EditPdfApi(cloudmersive_convert_api_client.ApiClient(configuration))
input_file = '/path/to/file' # file | Input file to perform the operation on.
try:
# Rasterize a PDF to an image-based PDF
api_response = api_instance.edit_pdf_rasterize(input_file)
pprint(api_response)
except ApiException as e:
print("Exception when calling EditPdfApi->edit_pdf_rasterize: %s\n" % e)

And lastly, provide your file path. That’s it. After sending the request, your rasterized PDF will be finished in a matter of moments.

Mmmm, coffee.