react-markdown-converter is a lightweight package that allows you to convert Markdown text to HTML. It provides a simple and customizable solution for rendering Markdown content in your JavaScript projects.
You can install the react-markdown-converter package via npm. Make sure you have Node.js and npm installed on your machine.
npm install react-markdown-converter
To use the react-markdown-converter package, you can import the convertMarkdown
function and call it with your Markdown text.
const { convertMarkdown } = require('react-markdown-converter');
const markdownText = '# Hello, *Markdown*!';
const htmlOutput = convertMarkdown(markdownText);
console.log(htmlOutput);
The convertMarkdown
function takes a Markdown string as input and returns the corresponding HTML output. You can then use the HTML output in your applications as needed.
The react-markdown-converter package provides a default set of conversions for common Markdown syntax, such as headings, bold, italic, and links. However, you can also customize the conversion rules to fit your specific requirements.
To customize the conversion, you can pass an optional markdownSyntax
object to the convertMarkdown
function. This object should contain the mappings for your desired syntax conversions.
const { convertMarkdown } = require('react-markdown-converter');
const myMarkdownSyntax = {
'[text](text-color)': (text, color) => `<span style="color: ${color}">${text}</span>`,
'(link)[text]': (link, text) => `<a href="${link}">${text}</a>`,
};
const markdownText = 'Hello, [world](red)! (https://example.com)[Click here]!';
const htmlOutput = convertMarkdown(markdownText, myMarkdownSyntax);
console.log(htmlOutput);
In the example above, the myMarkdownSyntax
object contains two custom syntax mappings. The first one '[text](text-color)'
maps to a function that converts the matched pattern to a <span>
element with a specified text color. The second mapping '(link)[text]'
converts the pattern to an HTML <a>
element.
Contributions to react-markdown-converter are welcome! If you find any issues or have suggestions for improvements, please open an issue on the GitHub repository. You can also submit pull requests with proposed changes.
This project is licensed under the MIT License.