Markdown to HTML
Write documentation, README files, and blog posts in Markdown and get clean HTML instantly.
What it's for
Markdown to HTML in one click
GFM compatible
Supports tables, fenced code blocks with language, task lists, and strikethrough from the GitHub dialect.
100% private
Conversion happens in your browser. Your content is never sent to any server.
Clean HTML
Generates semantic HTML without inline styles or unnecessary classes. Ready to insert into any CMS.
Instant preview
The result updates as you type, no convert button needed.
How it works
Three steps, no hassle
Write or paste your Markdown
Enter Markdown text with headings, lists, links, images, or code blocks. Compatible with standard syntax and GFM.
Real-time preview
The rendered HTML appears as you type. Visualize the final result before copying it.
Copy the generated HTML
Get clean HTML ready to insert into your CMS, web application, or publication. No unnecessary inline styles.
FAQ
Got questions?
Markdown is a lightweight markup language designed to be readable as plain text and convertible to structured HTML. The design philosophy is that a Markdown document should be publishable as-is, without looking like code. It is widely used in technical documentation, platforms like GitHub, Stack Overflow, Reddit, and modern content management systems.
Markdown was created by John Gruber (of the Daring Fireball blog) in collaboration with Aaron Swartz in 2004. Gruber published the original specification and a reference Perl script. The original spec left many behaviors ambiguous, which led to the development of CommonMark in 2014 — an unambiguous specification maintained by a working group including representatives from GitHub, Reddit, and Stack Overflow.
GFM (GitHub Flavored Markdown) is a CommonMark extension introduced by GitHub in 2017. It adds features not present in the standard: tables with column alignment, fenced code blocks with syntax highlighting using backticks (```), task lists with checkboxes (- [ ]), user mentions (@user), issue references (#123), and strikethrough text (~~text~~). GFM is the most widely used dialect in the software development ecosystem.
Standard Markdown generates: headings (h1-h6) with # through ######, paragraphs (p), emphasis with *italic* and **bold**, ordered (ol/li) and unordered (ul/li) lists, links (a), images (img), blockquotes, inline code (code) and code blocks (pre/code), and horizontal rules (hr). Tables, checkboxes, and syntax highlighting require extensions like GFM.
Markdown is 5 to 10 times faster to write than equivalent HTML for editorial content. A paragraph with a link and bold text requires 15 characters in Markdown versus 60 in HTML. More importantly, raw Markdown is readable as plain text without rendering, which makes git reviews easier (diffs are human-readable), simplifies versioning, and allows storage in databases without depending on a visual editor.
Markdown: the world's most adopted technical writing language
Markdown was designed with a simple premise: text with markup should be readable as plain text. Unlike HTML, where tags interrupt reading, a Markdown document looks like a well-formatted email. This philosophy made it the de facto standard for open source project READMEs, wikis, technical documentation, and modern blogging platforms. GitHub automatically renders any README.md file at the root of a repository.
Dialect fragmentation was a problem for years: Gruber's original spec left dozens of ambiguous cases, and each implementation resolved them differently. CommonMark (2014) addressed this with a formal 148-page specification that defines exact behavior for every edge case. GFM (GitHub Flavored Markdown) extends CommonMark with tables, syntax-highlighted code, task lists, and other features specific to the development ecosystem.
In the modern web development workflow, Markdown is the content layer that separates text from presentation. Static site generators like Astro, Next.js, Hugo, and Jekyll process Markdown files and transform them into HTML pages with the site's layout. Convertir.ai performs this conversion in the browser using a CommonMark/GFM implementation, producing clean semantic HTML that can be inserted directly into any CMS or web application.