Why to Convert WORDML to Images
Converting WORDML to images is a common requirement for many applications. It is used to display documents in a web page, to create thumbnails of documents, to create a preview of documents, to create a snapshot of documents, to create a PDF document from a Word document, and many other purposes.
How Aspose.Total Helps for WORDML to Images Conversion
Aspose.Total for Python via .NET is a full package of various APIs dealing different formats. It includes Aspose.Words for Python via .NET API that is used to add the WORDML to JPG, PNG, GIF, BMP and TIFF Images conversion feature. It is a simple process that requires just two lines of code. The first line is to load the WORDML file and the second line is to call the save method with appropriate image path along with SaveFormat of relevant format.
In case if there is need to set extra information like setting horizental and vertical resolution, scale, pixel format, brightness and more, then there is ImageSaveOptions class to be used for all these. Using ImageSaveOptions one can easily renders a specific WORDML page into an image with transparent or colored background, specify a resolution while rendering, configure compression and more. Depending on the requirement, one can use as of his requirement.
Moreover, there is another way for Word To Image conversion. It is a simple process that requires just two lines of code. The first line is to load the WORDML file and the second line is to call the save method with appropriate image path along with SaveFormat of relevant format.
In conclusion, Aspose.Total for Python via .NET is a great tool for converting WORDML to images. It is a full package of various APIs dealing different formats and provides a simple and efficient way to convert WORDML to images. It also provides the flexibility to set extra information like setting horizental and vertical resolution, scale, pixel format, brightness and more.
How to Convert WORDML to Images in Python
- Load source WORDML file using Document class
- Create the instance of ImageSaveOptions
- Specify page number for conversion using PageSet
- Set the properties
- Call the
savemethod while passing output file path & specified options as parameters. So your WORDML file is converted to Images at the specified path
- For WORDML to Images (JPG, PNG, GIF, BMP, TIFF) conversion, Python 3.5 or later is required
- Reference APIs within the project directly from PyPI ( Aspose.Words )
- Or use the following pip commands
pip install aspose.words
- Moreover, Microsoft Windows or Linux based OS (see more for Words ) and for Linux check additional requirements for gcc and libpython and follow step by step instructions INSTALL
Save WORDML To Images in Python - Simple Conversion
WORDML To Images Conversion With Specific Options
Explore WORDML Conversion Options with Python
What is WORDML File Format?
Microsoft Word 2003 introduced a proprietary document format known as WordprocessingML. This format, based on XML, utilizes a custom XML schema to store various elements of a Word document, encompassing text, formatting, images, and other content. WordprocessingML aims to provide a comprehensive representation of all document information while maintaining both human-readable and machine-readable qualities.
Being human-readable means that WordprocessingML documents can be easily accessed and edited using a standard text editor. This accessibility allows users to directly manipulate the underlying XML structure if needed. Additionally, WordprocessingML is designed to facilitate automated processing and conversion by computer systems, enabling seamless transformation into other formats or integration with different software applications.
WordprocessingML is an open standard, meaning that its specifications are publicly available for reference and implementation by developers. This openness has fostered the development of numerous software programs, including open-source solutions like OpenOffice.org and LibreOffice, which can read and write WordprocessingML documents. The availability of such tools expands the accessibility and interoperability of WordprocessingML files beyond the Microsoft Word ecosystem.
Microsoft Word, being one of the most widely used word processing programs worldwide, has contributed to the popularity of WordprocessingML as an XML-based word processing format. Its broad acceptance has established WordprocessingML as a prevalent standard for sharing and exchanging richly formatted documents.