Use Python for EPS Images Resize
Create Python Apps to Resize EPS Images and Photos via Server APIs
How to Resize EPS Images and Photos with Python
When preparing images and photos for website publication, it’s crucial to consider the specificity of web technologies. A key aspect in this process involves adjusting the sizes of the images. There is often a necessity to scale down images and save files in various resolutions. For instance, gallery pages featuring previews should incorporate small file thumbnails, while pages designated for viewing selected images must offer high-resolution options. Resizing large files can be achieved by reducing the total number of pixels, but the reduction in file size must be done without compromising image quality. During the scaling process, it is important to consider the data compression setting to maintain a balance between image size and quality. Smaller images load faster, a particularly significant advantage on mobile connections, ultimately enhancing the user experience on your website. Automating the bulk file size conversion is easily achievable using the Python library. To resize EPS images, we will utilize Aspose.Imaging for Python via .NET API which is a feature-rich, powerful and easy to use image manipulation and conversion API for Python platform. You may install it using the following command from your system command.
The system command line
>> pip install aspose-imaging-python-net
Steps to Resize EPS via Python
You need the aspose-imaging-python-net to try the following workflow in your own environment.
- load EPS file with Image.Load method;
- resize image;
- save resized image to disc in the supported by Aspose.Imaging format.
System Requirements
Aspose.Imaging for Python is supported on all major operating systems. Just make sure that you have the following prerequisites.
- Microsoft Windows / Linux with .NET Core Runtime.
- Python and PyPi package manager.
Resize EPS images - Python
from aspose.imaging import Image, FileFormat | |
from aspose.imaging.imageoptions import * | |
import os | |
if 'TEMPLATE_DIR' in os.environ: | |
templates_folder = os.environ['TEMPLATE_DIR'] | |
else: | |
templates_folder = r"C:\Users\USER\Downloads\templates" | |
delete_output = 'SAVE_OUTPUT' not in os.environ | |
obj_init = [] | |
obj_init.append("emf") | |
obj_init.append("emz") | |
obj_init.append("wmf") | |
obj_init.append("wmz") | |
obj_init.append("svg") | |
obj_init.append("svgz") | |
obj_init.append("cdr") | |
obj_init.append("cmx") | |
obj_init.append("odg") | |
obj_init.append("otg") | |
vector_formats = obj_init | |
for format_ext in vector_formats: | |
input_file = os.path.join(templates_folder, f"template.{format_ext}") | |
output_file = os.path.join(templates_folder, f"resized_{format_ext.upper()}.png") | |
new_width = 100.0 | |
new_height = 100.0 | |
with Image.load(input_file) as image: | |
export_options = PngOptions() | |
tmp_switch2 = image.file_format | |
if tmp_switch2 == FileFormat.WMF: | |
export_options.vector_rasterization_options = WmfRasterizationOptions() | |
elif tmp_switch2 == FileFormat.EMF: | |
export_options.vector_rasterization_options = EmfRasterizationOptions() | |
elif tmp_switch2 == FileFormat.SVG: | |
export_options.vector_rasterization_options = SvgRasterizationOptions() | |
elif tmp_switch2 == FileFormat.CDR: | |
export_options.vector_rasterization_options = CdrRasterizationOptions() | |
elif tmp_switch2 == FileFormat.CMX: | |
export_options.vector_rasterization_options = CmxRasterizationOptions() | |
elif tmp_switch2 == FileFormat.ODG: | |
export_options.vector_rasterization_options = OdgRasterizationOptions() | |
elif tmp_switch2 == FileFormat.OTG: | |
export_options.vector_rasterization_options = OtgRasterizationOptions() | |
else: | |
raise RuntimeError("Wrong argument!") | |
export_options.vector_rasterization_options.page_width = new_width | |
export_options.vector_rasterization_options.page_height = new_height | |
image.save(output_file, export_options) | |
if delete_output: | |
os.remove(output_file) |
About Aspose.Imaging for Python API
Aspose.Imaging API is an image processing solution to create, modify, draw or convert images (photos) within 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), modifications such as drawing, working with graphic primitives, transformations (resize, crop, flip&rotate, binarization, grayscale, adjust), advanced image manipulation features (filtering, dithering, masking, deskewing), and memory optimization strategies. It’s a standalone library and does not depend on any software for image operations. One can easily add high-performance image conversion features with native APIs within projects. These are 100% private on-premise APIs and images are processed at your servers.Resize EPS via Online App
Resize EPS documents by visiting our Live Demos website The live demo has the following benefits
EPS What is EPS File Format
FIles with EPS extension essentially describe an Encapsulated PostScript language program that describes the appearance of a single page. The name "Encapsulated" because it can be included or encapsulated in another PostScript language page description. This script based file format may contain any combination of text, graphics and images. EPS files may include a bitmap preview image encapsulated inside for display by applications that can open such files. EPS files can be converted to standard image formats such as JPG, PNG, TIFF and PDF using different applications e.g. Adobe Illustrator, Photoshop and PaintShop Pro. Because of a security vulnerability in EPS files, Office 2016, Office 2013, Office 2010, and Office 365 have turned off the ability to insert EPS files into Office documents.
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