Frontend Development 3 min read

Using Carbon to Generate Beautiful Code Images

This article introduces the free, open‑source Carbon tool, explains its key features such as language support, style customization, and background selection, and provides step‑by‑step instructions for creating and exporting attractive code screenshots in PNG or SVG formats.

Python Programming Learning Circle
Python Programming Learning Circle
Python Programming Learning Circle
Using Carbon to Generate Beautiful Code Images

When we want to share our code with others while preserving its original formatting and visual appeal, a powerful online tool called Carbon can help.

Carbon (meaning "carbon rod") is an open‑source, free code‑image generator that offers extensive language support, customizable themes, background colors, and easy export options.

Features include:

Support for almost all programming language syntaxes.

Ability to choose custom code styles.

Option to select the language for syntax highlighting.

Customizable background colors.

To use Carbon, simply paste your code into the editor, adjust the desired settings, and click the Export button to download the image as PNG or SVG.

Useful links:

GitHub repository: https://github.com/carbon-app/carbon

Online tool: https://carbon.now.sh/

The tool allows free selection of programming languages, code styles, and background colors, as shown in the screenshots below.

After configuring the format, click Export to obtain the image.

Example outputs are displayed below.

*Disclaimer: This article is compiled from the internet; all copyrights belong to the original authors. If any source information is incorrect or infringes rights, please contact us for removal or authorization.

FrontendTutorialdeveloper toolsCarbonimage exportcode screenshots
Python Programming Learning Circle
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Python Programming Learning Circle

A global community of Chinese Python developers offering technical articles, columns, original video tutorials, and problem sets. Topics include web full‑stack development, web scraping, data analysis, natural language processing, image processing, machine learning, automated testing, DevOps automation, and big data.

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