svgcleaner

SVGcleaner is a command line tool that helps optimize Scalable Vector Graphics (SVG) files. It is designed with the goal of reducing the file size of SVG images while maintaining their original quality and preserving visual rendering.

The tool provides various cleanup operations to remove unnecessary or redundant elements, such as removing empty groups or unused attributes, resulting in more streamlined SVG files. It also optimizes coordinates and transforms to simplify the path data, making the file more efficient.

SVGcleaner performs extensive validation and error correction to ensure that the resulting SVG file remains compliant with the SVG specification. It ensures that the cleaned file remains functional, with valid XML syntax and correct SVG rendering when viewed in web browsers or graphic editors.

The command line interface offers a straightforward way to automate the cleaning process for multiple SVG files in a batch. It allows users to specify various options and parameters, such as specifying input and output files, enabling specific cleanup operations, or setting optimization thresholds.

SVGcleaner is built using the SVGStandard library and is available under an open-source license. It supports various operating systems, including Windows, macOS, and Linux, making it accessible to a wide range of users.

The tool is regularly updated and maintained by its developer, ensuring compatibility with the latest SVG specifications and addressing any reported issues or bugs.

By using SVGcleaner, users can significantly reduce the file size of SVG images, making them load faster on websites and reducing bandwidth consumption.

The optimized SVG files generated by SVGcleaner are often more compatible with different software applications, making them easier to work with in graphic design workflows or when integrating them into other projects.

With its comprehensive cleanup operations and validation features, SVGcleaner is a valuable tool for anyone working with SVG files, improving efficiency and optimizing these files for various use cases.