Crop EMF via Python Cloud API
Crop EMF using native Python Cloud APIs without needing any image editor or 3rd-party libraries.
Get StartedHow to Crop EMF Using Python Cloud API
Aspose.Imaging.Cloud for Python API which is a feature-rich, powerful and easy to use image manipulation and conversion Cloud API for Python platform. You can download its latest version directly from pypi.org or install it from pip command line.
Command Prompt
> pip install aspose-imaging-cloud
Steps to Crop EMF via Python Cloud API
Developers can easily load & crop EMF files in just a few lines of code.
- Load EMF file as stream
- Create & set the instance of CreateCroppedImageRequest
- Set start position and crop area size
- Call the CreateCroppedImage method
- Get cropped image from response stream
System Requirements
Aspose.Imaging Cloud for Python is supported on all major operating systems. Just make sure that you have the following prerequisites.
- Python 2.7 or later.
Crop EMF - Cloud
About Aspose.Imaging Cloud API for Python
Aspose.Imaging Cloud API is an image processing solution to process images (photos) within your cloud or web applications. It offers: cross-platform Image processing, including but not limited to conversions between various image formats (including uniform multi-page or multi-frame image processing), transformations (resize, crop, flip&rotate, grayscale, adjust), advanced image manipulation features (filtering, deskewing), AI features (i.e. object detection and reverse image search). It’s a Cloud API and does not depend on any software for image operations. One can easily add high-performance image conversion features with Cloud APIs within projects. Flexible integrations options including SDKs for various languages (Python, Ruby, .NET, Java, NodeJS, PHP) and the use of the REST API allow to make the integration easy.
Crop EMFs via Online App
Crop EMF documents by visiting our Live Demos website. The live demo has the following benefits:
EMF What is EMF File Format
Enhanced metafile format (EMF) stores graphical images device-independently. Metafiles of EMF comprises of variable-length records in chronological order that can render the stored image after parsing on any output device. These variable-length records can be definitions of enclosed objects, commands for drawing, and graphics properties critical to render the image accurately. When a device opens an EMF metafile using its own graphics environment, the proportions, dimensions, colors and other graphic properties of original image remains same regardless of the opening device platform.
Read MoreOther Supported Conversions
Using Python Cloud API, one can easily crop different formats including: