mdream

☁️ The fastest HTML to markdown convertor built with JavaScript. Optimized for LLMs and supports streaming.

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Mdream is a lightweight and user-friendly markdown editor designed for developers and writers. It provides a simple and intuitive interface for creating and editing markdown files with real-time preview. The tool offers syntax highlighting, markdown formatting options, and the ability to export files in various formats. Mdream aims to streamline the writing process and enhance productivity for individuals working with markdown documents.

README:

mdream

☁️ The fastest HTML to markdown convertor built with JavaScript. Optimized for LLMs and supports streaming.

_{Made possible by my Sponsor Program 💖
Follow me @harlan_zw 🐦 • Join Discord for help}

Features

🧠 Custom built HTML to Markdown Convertor Optimized for LLMs (~50% fewer tokens)
🔍 Generates Minimal GitHub Flavored Markdown: Frontmatter, Nested & HTML markup support.
✂️ LangChain compatible Markdown Text Splitter for single-pass chunking.
🚀 Ultra Fast: Fastest pure JS - 3x faster than Turndown, converts 1.8MB HTML in ~60ms.
⚡ Tiny: 6kB gzip, zero dependency core.
⚙️ Run anywhere: CLI Crawler, Docker, GitHub Actions, Vite, & more.
🔌 Extensible: Plugin system for customizing and extending functionality.

Benchmarks

Input Size	Rust (native)	mdream	Turndown	node-html-markdown
160 KB	1.4ms	3.2ms	11.7ms	15.0ms
420 KB	1.9ms	6.6ms	14.0ms	18.1ms
1.8 MB	21ms	60ms	295ms	28,600ms

See the Benchmark methodology for more details.

What is Mdream?

A zero-dependency alternative to Turndown, node-html-markdown, and html-to-markdown, built specifically for LLM input.

Traditional HTML to Markdown converters were not built for LLMs or humans. They tend to be slow and bloated and produce output that's poorly suited for LLMs token usage or for human readability.

Other LLM specific convertors focus on supporting all document formats, resulting in larger bundles and lower quality Markdown output.

Mdream core is a highly optimized primitive for producing Markdown from HTML that is optimized for LLMs.

Mdream ships several packages on top of this to generate LLM artifacts like llms.txt for your own sites or generate LLM context for any project you're working with.

Mdream Packages

Mdream is built to run anywhere for all projects and use cases and is available in the following packages:

Package	Description
mdream	HTML to Markdown converter, use anywhere: browser, edge runtime, node, etc. Includes CLI for `stdin` conversion and package API. Minimal: no dependencies
Browser CDN	Use mdream directly in browsers via unpkg/jsDelivr without any build step
@mdream/crawl	Site-wide crawler to generate `llms.txt` artifacts from entire websites
Docker	Pre-built Docker image with Playwright Chrome for containerized website crawling
@mdream/vite	Generate automatic `.md` for your own Vite sites
@mdream/nuxt	Generate automatic `.md` and `llms.txt` artifacts generation for Nuxt Sites
@mdream/action	Generate `.md` and `llms.txt` artifacts from your static `.html` output

Mdream Usage

Installation

pnpm add mdream

[!TIP] Generate an Agent Skill for this package using skilld:
npx skilld add mdream

Basic Usage

import { htmlToMarkdown } from 'mdream'

const markdown = htmlToMarkdown('<h1>Hello World</h1>')
console.log(markdown) // # Hello World

Core Functions:

htmlToMarkdown - Convert HTML to Markdown
streamHtmlToMarkdown - Stream HTML to Markdown
parseHtml - Parse HTML to AST

See the API Usage section for complete details.

Mdream Crawl

Need something that works in the browser or an edge runtime? Use Mdream.

The @mdream/crawl package crawls an entire site generating LLM artifacts using mdream for Markdown conversion.

llms.txt: A consolidated text file optimized for LLM consumption.
llms-full.txt: An extended format with comprehensive metadata and full content.
Individual Markdown Files: Each crawled page is saved as a separate Markdown file in the md/ directory.

Usage

# Interactive
npx @mdream/crawl
# Simple
npx @mdream/crawl https://harlanzw.com
# Glob patterns
npx @mdream/crawl "https://nuxt.com/docs/getting-started/**"
# Get help
npx @mdream/crawl -h

Examples

🤖 Analyze Websites with AI Tools

Feed website content directly to Claude or other AI tools:

# Analyze entire site with Claude
npx @mdream/crawl harlanzw.com
cat output/llms-full.txt | claude -p "summarize this website"

# Analyze specific documentation
npx @mdream/crawl "https://nuxt.com/docs/getting-started/**"
cat output/llms-full.txt | claude -p "explain key concepts"

# Analyze JavaScript/SPA sites (React, Vue, Angular)
npx -p playwright -p @mdream/crawl crawl https://spa-site.com --driver playwright
cat output/llms-full.txt | claude -p "what features does this app have"

# Convert single page
curl -s https://en.wikipedia.org/wiki/Markdown | npx mdream --origin https://en.wikipedia.org | claude -p "summarize"

🌐 Make Your Site AI-Discoverable

Generate llms.txt to help AI tools understand your site:

# Static sites
npx @mdream/crawl https://yoursite.com

# JavaScript/SPA sites (React, Vue, Angular)
npx -p playwright -p @mdream/crawl crawl https://spa-site.com --driver playwright

Outputs:

output/llms.txt - Optimized for LLM consumption
output/llms-full.txt - Complete content with metadata
output/md/ - Individual markdown files per page

🗄️ Build RAG Systems from Websites

Crawl websites and generate embeddings for vector databases:

import { crawlAndGenerate } from '@mdream/crawl'
import { embed } from 'ai'
import { withMinimalPreset } from 'mdream/preset/minimal'
import { htmlToMarkdownSplitChunks } from 'mdream/splitter'

const { createTransformersJS } = await import('@built-in-ai/transformers-js')
const embeddingModel = createTransformersJS().textEmbeddingModel('Xenova/bge-base-en-v1.5')

const embeddings = []

await crawlAndGenerate({
  urls: ['https://example.com'],
  onPage: async ({ url, html, title, origin }) => {
    const chunks = htmlToMarkdownSplitChunks(html, withMinimalPreset({
      chunkSize: 1000,
      chunkOverlap: 200,
      origin,
    }))

    for (const chunk of chunks) {
      const { embedding } = await embed({ model: embeddingModel, value: chunk.content })
      embeddings.push({ url, title, content: chunk.content, embedding })
    }
  },
})

// Save to vector database: await saveToVectorDB(embeddings)

✂️ Extract Specific Content from Pages

Pull headers, images, or other elements during conversion:

import { htmlToMarkdown } from 'mdream'
import { extractionPlugin } from 'mdream/plugins'

const headers = []
const images = []

htmlToMarkdown(html, {
  plugins: [
    extractionPlugin({
      'h1, h2, h3': el => headers.push(el.textContent),
      'img[src]': el => images.push({ src: el.attributes.src, alt: el.attributes.alt })
    })
  ]
})

⚡ Optimize Token Usage With Cleaner Content

Remove ads, navigation, and unwanted elements to reduce token costs:

import { createPlugin, ELEMENT_NODE, htmlToMarkdown } from 'mdream'

const cleanPlugin = createPlugin({
  beforeNodeProcess({ node }) {
    if (node.type === ELEMENT_NODE) {
      const cls = node.attributes?.class || ''
      if (cls.includes('ad') || cls.includes('nav') || node.name === 'script')
        return { skip: true }
    }
  }
})

htmlToMarkdown(html, { plugins: [cleanPlugin] })

Stdin CLI Usage

Mdream is much more minimal than Mdream Crawl. It provides a CLI designed to work exclusively with Unix pipes, providing flexibility and freedom to integrate with other tools.

Pipe Site to Markdown

Fetches the Markdown Wikipedia page and converts it to Markdown preserving the original links and images.

curl -s https://en.wikipedia.org/wiki/Markdown \
 | npx mdream --origin https://en.wikipedia.org --preset minimal \
  | tee streaming.md

Tip: The --origin flag will fix relative image and link paths

Local File to Markdown

Converts a local HTML file to a Markdown file, using tee to write the output to a file and display it in the terminal.

cat index.html \
 | npx mdream --preset minimal \
  | tee streaming.md

CLI Options

--origin <url>: Base URL for resolving relative links and images
--preset <preset>: Conversion presets: minimal
--help: Display help information
--version: Display version information

Docker

Run @mdream/crawl with Playwright Chrome pre-installed for website crawling in containerized environments.

# Quick start
docker run harlanzw/mdream:latest site.com/docs/**

# Interactive mode
docker run -it harlanzw/mdream:latest

# Using Playwright for JavaScript sites
docker run harlanzw/mdream:latest spa-site.com --driver playwright

Available Images:

harlanzw/mdream:latest - Latest stable release
ghcr.io/harlan-zw/mdream:latest - GitHub Container Registry

See DOCKER.md for complete usage, configuration, and building instructions.

GitHub Actions Integration

Installation

pnpm add @mdream/action

See the GitHub Actions README for usage and configuration.

Vite Integration

Installation

pnpm install @mdream/vite

See the Vite README for usage and configuration.

Nuxt Integration

Installation

pnpm add @mdream/nuxt

See the Nuxt Module README for usage and configuration.

Browser CDN Usage

For browser environments, you can use mdream directly via CDN without any build step:

<!DOCTYPE html>
<html>
<head>
  <script src="https://unpkg.com/mdream/dist/iife.js"></script>
</head>
<body>
  <script>
    // Convert HTML to Markdown in the browser
    const html = '<h1>Hello World</h1><p>This is a paragraph.</p>'
    const markdown = window.mdream.htmlToMarkdown(html)
    console.log(markdown) // # Hello World\n\nThis is a paragraph.
  </script>
</body>
</html>

CDN Options:

unpkg: https://unpkg.com/mdream/dist/iife.js
jsDelivr: https://cdn.jsdelivr.net/npm/mdream/dist/iife.js

Credits

ultrahtml: HTML parsing inspiration

License

Licensed under the MIT license.

For Tasks:

Click tags to check more tools for each tasks

write articles create documentation format notes blog writing code documentation

For Jobs:

developer writer content creator blogger technical writer

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