This short tutorial guides on how to convert CDR to PSD using Python. It has all the details to set the IDE, a list of steps, and a sample code to transform a CDR file to Photoshop using Python. You will learn to control the loading of the source file and customize the output as per the requirements.

Steps to Convert CDR File to PSD using Python

1. Set the environment to use Aspose.Imaging for Python via .NET to convert CDR to PSD
2. Import the required libraries for using the desired classes and enumerators
3. Apply the Aspose.Imaging license to avail the full product features
4. Define file paths for the CDR and PSD files and load the CRD file from the local disk using Image.load()
5. Cast the image to the CdrImage type and configure the PSD save options
6. Enable the multi-page merging, set the Rasterization parameters, and adjust the Rendering Quality
7. Attach the rasterization options to Save settings and save the output file

These steps describe the process of changing CDR to Photoshop using Python, which starts by loading a CorelDRAW image file and setting up the Aspose Imaging library with a valid license. It configures export settings by enabling multi-page layer merging and customizing vector rasterization options, including text rendering and smoothing preferences. Finally, the image is saved in PSD format with the defined settings applied.

Code to Convert CorelDRAW to PSD using Python

The above sample code demonstrates the development of a CDR to Photoshop converter using Python. You can control the loading of the CDR image by setting various parameters in the CdrLoadOptions class, including data background color, data recovery mode, and optimal memory usage. Similarly, you may try further customization of the output file by setting the compression method, channels count, channel bits count, and PSD version to list a few.

This article has taught us the process of transforming CDR to PSD. For converting a TIFF file to PNG, refer to the article on Convert TIFF to PNG using Python.