High-performance HTML to Markdown conversion powered by Rust. Ships as native bindings for Rust, Python, TypeScript/Node.js, Ruby, PHP, Go, Java, C#, Elixir, R, C (FFI), and WebAssembly with identical rendering across all runtimes.

Documentation | Live Demo | API Reference

• 150-280 MB/s throughput (10-80x faster than pure Python alternatives)
• 12 language bindings with consistent output across all runtimes
• Structured result — convert() returns ConversionResult with content, metadata, tables, images, and warnings
• Metadata extraction — title, headers, links, images, structured data (JSON-LD, Microdata, RDFa)
• Visitor pattern — custom callbacks for content filtering, URL rewriting, domain-specific dialects
• Table extraction — extract structured table data (cells, headers, rendered markdown) during conversion
• Secure by default — built-in HTML sanitization via ammonia

# Rust
cargo add html-to-markdown-rs

# Python
pip install html-to-markdown

# TypeScript / Node.js
npm install @kreuzberg/html-to-markdown-node

# Ruby
gem install html-to-markdown

# CLI
cargo install html-to-markdown-cli
# or
brew install kreuzberg-dev/tap/html-to-markdown

See the Installation Guide for all languages including PHP, Go, Java, C#, Elixir, R, and WASM.

convert() is the single entry point. It returns a structured ConversionResult:

# Python
from html_to_markdown import convert

result = convert("<h1>Hello</h1><p>World</p>")
print(result["content"])        # # Hello\n\nWorld
print(result["metadata"])       # title, links, headings, …

// TypeScript / Node.js
import { convert } from "@kreuzberg/html-to-markdown-node";

const result = convert("<h1>Hello</h1><p>World</p>");
console.log(result.content);    // # Hello\n\nWorld
console.log(result.metadata);   // title, links, headings, …

// Rust
use html_to_markdown_rs::convert;

let result = convert("<h1>Hello</h1><p>World</p>", None)?;
println!("{}", result.content.unwrap_or_default());

html-to-markdown is developed by kreuzberg.dev and powers the HTML conversion pipeline in Kreuzberg, a document intelligence library for extracting text from PDFs, images, and office documents.

Contributions welcome! See CONTRIBUTING.md for setup instructions and guidelines.

MIT License — see LICENSE for details.