html-to-markdown-rs 2.5.6

High-performance HTML to Markdown converter using tl parser. Part of the Kreuzberg ecosystem.
Documentation

html-to-markdown-rs

High-performance HTML to Markdown converter built with Rust.

This crate is the core engine compiled into the Python wheels, Ruby gem, Node.js NAPI bindings, WebAssembly package, and CLI, ensuring identical Markdown output across every language.

Crates.io npm version PyPI version Gem Version docs.rs License: MIT

Fast, reliable HTML to Markdown conversion with full CommonMark compliance. Built with html5ever for correctness and ammonia for safe HTML preprocessing.

Installation

[dependencies]
html-to-markdown-rs = "2.3"

Basic Usage

use html_to_markdown_rs::{convert, ConversionOptions};

fn main() -> Result<(), Box<dyn std::error::Error>> {
    let html = r#"
        <h1>Welcome</h1>
        <p>This is <strong>fast</strong> conversion!</p>
        <ul>
            <li>Built with Rust</li>
            <li>CommonMark compliant</li>
        </ul>
    "#;

    let markdown = convert(html, None)?;
    println!("{}", markdown);
    Ok(())
}

Configuration

use html_to_markdown_rs::{
    convert, ConversionOptions, HeadingStyle, ListIndentType,
    PreprocessingOptions, PreprocessingPreset,
};

let options = ConversionOptions {
    heading_style: HeadingStyle::Atx,
    list_indent_width: 2,
    list_indent_type: ListIndentType::Spaces,
    bullets: "-".to_string(),
    strong_em_symbol: '*',
    escape_asterisks: false,
    escape_underscores: false,
    newline_style: html_to_markdown_rs::NewlineStyle::Backslash,
    code_block_style: html_to_markdown_rs::CodeBlockStyle::Backticks,
    ..Default::default()
};

let markdown = convert(html, Some(options))?;

Preserving HTML Tags

The preserve_tags option allows you to keep specific HTML tags in their original form instead of converting them to Markdown. This is useful for complex elements like tables that may not convert well:

use html_to_markdown_rs::{convert, ConversionOptions};

let html = r#"
<p>Before table</p>
<table class="data">
    <tr><th>Name</th><th>Value</th></tr>
    <tr><td>Item 1</td><td>100</td></tr>
</table>
<p>After table</p>
"#;

let options = ConversionOptions {
    preserve_tags: vec!["table".to_string()],
    ..Default::default()
};

let markdown = convert(html, Some(options))?;
// Result: "Before table\n\n<table class=\"data\">...</table>\n\nAfter table\n"

You can preserve multiple tag types and combine with strip_tags:

let options = ConversionOptions {
    preserve_tags: vec!["table".to_string(), "form".to_string()],
    strip_tags: vec!["script".to_string(), "style".to_string()],
    ..Default::default()
};

Web Scraping with Preprocessing

use html_to_markdown_rs::{convert, ConversionOptions, PreprocessingOptions};

let mut options = ConversionOptions::default();
options.preprocessing.enabled = true;
options.preprocessing.preset = html_to_markdown_rs::PreprocessingPreset::Aggressive;
options.preprocessing.remove_navigation = true;
options.preprocessing.remove_forms = true;

let markdown = convert(scraped_html, Some(options))?;

hOCR Table Extraction

use html_to_markdown_rs::convert;

// hOCR documents (from Tesseract, etc.) are detected automatically.
// Tables and spatial layout are reconstructed without additional options.
let markdown = convert(hocr_html, None)?;

Inline Image Extraction

use html_to_markdown_rs::{convert_with_inline_images, InlineImageConfig};

let config = InlineImageConfig::new(5 * 1024 * 1024) // 5MB max
    .with_infer_dimensions(true)
    .with_filename_prefix("img_".to_string());

let extraction = convert_with_inline_images(html, None, config)?;

println!("{}", extraction.markdown);
for (i, img) in extraction.inline_images.iter().enumerate() {
    println!("Image {}: {} ({} bytes)", i, img.format, img.data.len());
}

Other Language Bindings

This is the core Rust library. For other languages:

Documentation

Performance

10-30x faster than pure Python/JavaScript implementations, delivering 150-210 MB/s throughput.

License

MIT