Clean, structured Markdown from any URL. Headings, tables, code blocks, links — all preserved. Built for RAG pipelines, content migration, and AI workflows.
<1s
Avg response
73K
Chars from 1 page
Free
50 calls/mo
Paste any URL and see the output in seconds
3 free tries — no signup needed
Headings, tables, code blocks, links, images — all converted to clean, structured Markdown from any webpage.
developer.mozilla.org — MDN JavaScript reference page
# Array.prototype.map() The **map()** method of Array instances creates a new array populated with the results of calling a provided function on every element in the calling array. ## Syntax ```js map(callbackFn) map(callbackFn, thisArg) ``` ## Examples ### Mapping an array of numbers ```js const numbers = [1, 4, 9]; const roots = numbers.map((num) => Math.sqrt(num)); // roots is now [1, 2, 3] ```
en.wikipedia.org — Full article with references and links
# Artificial Intelligence **Artificial intelligence** (**AI**) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. High-profile applications of artificial intelligence include advanced web search engines (e.g., Google Search), recommendation systems (used by YouTube, Amazon, Netflix)...
any blog or news site — Article with images, links, formatting
# How to Build a RAG Pipeline Retrieval-Augmented Generation (RAG) is a technique that combines **information retrieval** with **text generation**. ## Step 1: Collect Data The first step is to collect and convert your source documents into a format your LLM can process. **Markdown** is ideal because it preserves structure without the noise of HTML. - Headings map to document sections - Lists preserve enumeration - Code blocks keep syntax intact
Other tools give you raw text. We give you structured, usable data.
Syntax highlighting hints, language tags, and proper formatting. Perfect for extracting documentation and tutorials.
HTML tables become clean Markdown tables. Data stays structured and readable — not flattened into text.
Average response under 1 second. Edge-optimized. No headless browser overhead — pure HTML parsing.
Relative URLs resolved to absolute. Images preserved with alt text. All links clickable in the output.
Rate limiting, API key auth, usage tracking, Stripe billing. Ship today, not next month.
50 calls/month free. No credit card. Scale to 100K calls/month when you need to.
Feed clean, structured web content into LLMs. Markdown preserves structure that raw HTML or plain text loses.
Move web content to Markdown-based platforms — Notion, Obsidian, static site generators, CMS imports.
Archive technical docs, API references, and tutorials in a portable, version-controllable format.
Convert any webpage to structured, parseable text. Cleaner and faster than raw HTML processing.
Build LLM training datasets from web content. Clean Markdown is easier to tokenize than messy HTML.
Build browser extensions, CLI tools, or integrations that need web content in Markdown format.
No SDKs, no configuration, no headless browsers. Just an HTTP POST.
$ curl -X POST https://wtmapi.com/api/v1/convert \
-H "x-api-key: wtm_your_key" \
-H "Content-Type: application/json" \
-d '{"url":"https://example.com"}'
# Response in 619ms
{
"success": true,
"data": {
"markdown": "# Example Domain\n\nThis domain is for use in...",
"length": 73262
}
}