ODC to JPG using Python
The Python SDK for converting OpenOffice documents to JPG images.
ODC to JPG features
The Python library for converting OpenOffice ODC documents to JPG images.
ConvertAPI Python library install
ConvertAPI provides a Python library that allows you to perform a ODC to JPG conversion with just a few lines of code. Convert ODC to JPG documents using Python SDK with no effort at all!
pip install --upgrade convertapi
Authenticate your Python library
You can obtain your secret key by signing up for a free account. Once you sign up, you'll receive 250 free conversions instantly! Grab your authentication secret from the account dashboard, and authenticate the ConvertAPI Python library like this:
import convertapi
convertapi.api_credentials = 'secret_or_token'
Convert ODC to JPG using Python in no time!
Once you have your authentication in place, simply copy-paste this odc to jpg conversion code snippet into your Python project:
Try the conversion online - no coding required!
You can try out advanced conversion parameters and test the conversion result online using our interactive demo tool. This tool will produce the same conversion output as if you were using the library from your solution, and it will auto-generate the code snippet for you!
Try for FREE!Conversion parameters
Sets the password to open protected documents.
Set output image horizontal resolution in dpi.
Set output image vertical resolution in dpi.
Scale the output image. If ScaleImage is False output document will be stripped to ImageHeight / ImageWidth, if ScalePage is True output document will be scaled to ImageHeight / ImageWidth.
Constrain proportions when scaling the output image.
Scaling only if the input image is larger than the output.
Image height in pixels.
Image width in pixels.
Control the use of text subsample antialiasing. The subsampling box size should be 4 bits for optimum text antialiasing, but smaller values can be used for faster rendering.
Values: 0 1 2 4
Control the use of graphics content subsample antialiasing. The subsampling box size should be 4 bits for optimum graphics content antialiasing, but smaller values can be used for faster rendering.
Values: 0 1 2 4
Specifies whether the image parser should use image interpolation. Enabling image interpolation will result in higher quality for scaled images at the expense of speed.
Specifies whether the image parser should remap the device-dependent.
Set JPG type.
Values: jpeg jpegcmyk jpeggray
Set output image quality.