Resize PSD via Python Cloud API
Resize PSD using native Python Cloud APIs without needing any image editor or 3rd-party libraries.
Get StartedHow to Resize PSD 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 Resize PSD via Python Cloud API
Developers can easily load & resize PSD files in just a few lines of code.
- Load PSD file as stream
- Create & set the instance of CreateResizedImageRequest
- Set new Width and Height properties
- Call the CreateResizedImage method
- Get resized 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.
Resize PSD - Cloud
| import os | |
| import asposeimagingcloud.models.requests as requests | |
| IMAGE_FILE_NAME= 'example_image.psd'; | |
| IMAGES_FOLDER = 'ExampleImages'; | |
| CLOUD_FOLDER = 'CloudImages'; | |
| OUTPUT_FOLDER = 'Output'; | |
| # Get ClientId and ClientSecret from https://dashboard.aspose.cloud/ | |
| # or use on-premise version (https://docs.aspose.cloud/imaging/getting-started/how-to-run-docker-container/) | |
| _imaging_api = ImagingApi(client_secret, client_id, 'https://api.aspose.cloud') | |
| def resize_image_from_storage(self): | |
| """Resizes the image from cloud storage""" | |
| input_image = os.path.join(IMAGES_FOLDER, IMAGE_FILE_NAME) | |
| upload_file_request = requests.UploadFileRequest(os.path.join(CLOUD_FOLDER, IMAGE_FILE_NAME), input_image) | |
| result = self._imaging_api.upload_file(upload_file_request) | |
| if result.errors: | |
| print('Uploading errors count: ' + str(len(result.errors))) | |
| # Please refer to https://docs.aspose.cloud/imaging/supported-file-formats/#resize for possible formats | |
| format = 'psd' # Resulting image format | |
| width = 100 | |
| height = 150 | |
| folder = CLOUD_FOLDER # Input file is saved at the desired folder in the storage | |
| storage = None # We are using default Cloud Storage | |
| request = requests.ResizeImageRequest(IMAGE_FILE_NAME, width, height, format, folder, storage) | |
| resized_image = self._imaging_api.resize_image(request) | |
| # Save the image file to output folder | |
| filename_part, extension = os.path.splitext(IMAGE_FILE_NAME) | |
| new_file_name = filename_part + '.' + 'psd' | |
| path = os.path.abspath(os.path.join(OUTPUT_FOLDER, new_file_name)) | |
| shutil.copy(resized_image, path) | |
| def create_resized_image_from_request(self): | |
| """Resizes an image. Image data is passed in a request stream""" | |
| # Please refer to https://docs.aspose.cloud/imaging/supported-file-formats/#resize for possible formats | |
| format = 'psd' # Resulting image format | |
| width = 100 | |
| height = 150 | |
| storage = None # We are using default Cloud Storage | |
| out_path = None # Path to updated file (if this is empty, response contains streamed image) | |
| input_stream = os.path.join(IMAGES_FOLDER, IMAGE_FILE_NAME) | |
| request = requests.CreateResizedImageRequest(input_stream, width, height, format, out_path, storage) | |
| resized_image = self._imaging_api.create_resized_image(request) | |
| # Save the image file to output folder | |
| filename_part, extension = os.path.splitext(IMAGE_FILE_NAME) | |
| new_file_name = filename_part + '.' + 'psd' | |
| path = os.path.abspath(os.path.join(OUTPUT_FOLDER, new_file_name)) | |
| shutil.copy(resized_image, path) |
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.
Resize PSDs via Online App
Resize PSD documents by visiting our Live Demos website. The live demo has the following benefits:
PSD What is PSD File Format
PSD, Photoshop Document, represents Adobe Photoshop’s native file format used for graphics designing and development. PSD files may include image layers, adjustment layers, layer masks, annotations, file information, keywords and other Photoshop-specific elements.
Read MoreOther Supported Conversions
Using Python Cloud API, one can easily resize different formats including: