Convert JPG to XLS in Python
High-speed Python library for converting JPG to XLS. This is a professional software solution to import and export JPG, XLS, and many other formats using Python.
Aspose.Cells for Python
Overview
Convert JPG to XLS Using Python
How do I convert JPG to XLS? With Aspose.Cells for Python library, you can easily convert JPG to XLS programmatically with a few lines of code. Aspose.Cells for Python is capable of building cross-platform applications with the ability to generate, modify, convert, render and print all Excel files. Python Excel API not only convert between spreadsheet formats, it can also render Excel files as images, PDF, HTML, ODS, CSV, SVG, JSON, WORD, PPT and more, thus making it a perfect choice to exchange documents in industry-standard formats.Save JPG to XLS in Python
The following example demonstrates how to convert JPG to XLS in Python.
Follow the easy steps to convert JPG to XLS. Upload your JPG file, then simply save it as XLS file. For both JPG reading and XLS writing you can use fully qualified filenames. The output XLS content and formatting will be identical to the original JPG document.
import jpype
import asposecells
jpype.startJVM()
from asposecells.api import Workbook
workbook = Workbook("Input.xlsx")
workbook.save("Output.pdf")
jpype.shutdownJVM()
How to Convert JPG to XLS via Python
Need to convert JPG files to XLS programmatically? Python developers can easily load & convert JPG to XLS in just a few lines of code.
- Install ‘Aspose.Cells for Python via Java’.
- Add a library reference (import the library) to your Python project.
- Load JPG file with an instance of Workbook.
- Convert JPG to XLS by calling Workbook.save method.
- Get the conversion result of JPG to XLS.
Python library to convert JPG to XLS
There are three options to install “Aspose.Cells for Python via Java” onto your system. Please choose one that resembles your needs and follow the step-by-step instructions:
- Install Aspose.Cells for Python via Java in Windows. See Documentation
- Install Aspose.Cells for Python via Java in Linux. See Documentation
- Install Aspose.Cells for Python via Java in macOS. See Documentation
System Requirements
Aspose.Cells for Python via Java is platform-independent API and can be used on any platform (Windows, Linux and MacOS), just make sure that system have Java 1.8 or higher, Python 3.5 or higher.
- Install Java and add it to PATH environment variable, for example:
PATH=C:\Program Files\Java\jdk1.8.0_131;. - Install Aspose.Cells for Python from pypi, use command as:
$ pip install aspose-cells.
JPG What is JPG File Format?
A JPEG is a type of image format that is saved using the method of lossy compression. The output image, as result of compression, is a trade-off between storage size and image quality. Users can adjust the compression level to achieve the desired quality level while at the same time reduce the storage size. Image quality is negligibly affected if 10:1 compression is applied to the image. The higher the compression value, the higher the degradation in image quality.
Read MoreXLS What is XLS File Format?
Files with XLS extension represent Excel Binary File Format. Such files can be created by Microsoft Excel as well as other similar spreadsheet programs such as OpenOffice Calc or Apple Numbers. File saved by Excel is known as Workbook where each workbook can have one or more worksheets. Data is stored and displayed to users in table format in worksheet and can span numeric values, text data, formulas, external data connections, images, and charts. Applications like Microsoft Excel lets you export workbook data to several different formats including PDF, CSV, XLSX, TXT, HTML, XPS, and several others. The XLS file format was replaced with a more open and structured format, XLSX, with the release of Microsoft Excel 2007. The latest versions still provide support for creating and reading XLS files, though XLSX is the first choice of use now.
Read MoreOther Supported Conversions
You can also convert JPG to many other file formats including few listed below.