Aspose team is pleased to announce the new release of Aspose.OMR for Cloud 18.8. This release introduces a feature in OMR.Kernel (Cloud) that let users clip areas of interest. An improvement “No postprocessing for template images” has been made in GUI OMR Editor (Cloud client). Moreover, Python script for batch processing has been added as Demo in Python SDK. Users can specify an area of interest, which will be cropped from the image and returned as an image in recognition response. In this way, a user can obtain not only the recognition data but also cropped parts of the original image that may be further processed according to user needs. There are some important new features included in GUI OMR Editor (Cloud client), such as No postprocessing for template images, Clip Areas of user’ interest feature allows users to add clip areas to templates, and also view and save clipped areas from recognized images and Python script for batch processing OMR documents has been added as a demo in Aspose.OMR Cloud SDK for Python.