Crop TIFF via Python Cloud API
Crop TIFF using native Python Cloud APIs without needing any image editor or 3rd-party libraries.
Get StartedHow to Crop TIFF 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 TIFF via Python Cloud API
Developers can easily load & crop TIFF files in just a few lines of code.
- Load TIFF 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 TIFF - 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 TIFFs via Online App
Crop TIFF documents by visiting our Live Demos website. The live demo has the following benefits:
TIFF What is TIFF File Format
TIFF or TIF, Tagged Image File Format, represents raster images that are meant for usage on a variety of devices that comply with this file format standard. It is capable of describing bilevel, grayscale, palette-color and full-color image data in several color spaces. It supports lossy as well as lossless compression schemes to choose between space and time for applications using the format. The format is extensible and has underwent several revisions that allows the inclusion of an unlimited amount of private or special-purpose information. The format is not machine dependent and is free from bounds like processor, operating system, or file systems.
Read MoreOther Supported Conversions
Using Python Cloud API, one can easily crop different formats including: