URL to Markdown
Convert any webpage into clean Markdown. Perfect for feeding AI agents, building RAG pipelines, or archiving content.
DeveloperUse via API or MCP
URL to Markdown is available via the lots.tools REST API and MCP server. Generate an API key to get started.
REST API
POST https://lots.tools/api/v1/tools/url-to-markdown/execute
curl -X POST https://lots.tools/api/v1/tools/url-to-markdown/execute \
-H "Authorization: Bearer lt_<your-api-key>" \
-H "Content-Type: application/json" \
-d '{
"input": {
"url": "https://example.com",
"mode": "auto"
}
}'Input fields
urlurlPage URLmodeselect?Fetch Modeauto | jinaResponse
{
"success": true,
"output": { ... },
"credits_used": 2,
"execution_time_ms": 120
}MCP Server
Connect once and all lots.tools are available as MCP tools — including URL to Markdown. Add to your MCP client config:
{
"mcpServers": {
"lots-tools": {
"url": "https://lots.tools/mcp",
"headers": {
"Authorization": "Bearer lt_<your-api-key>"
}
}
}
}Works with Cursor, Claude Desktop, and any MCP-compatible client. The tool name in MCP is url-to-markdown.
See the full tools list for schemas of all available tools. Credits are deducted per execution.
URL to Markdown Converter
Convert any webpage into clean, readable Markdown with a single click. Paste a URL and get structured Markdown output — ready to feed into AI agents, LLM context windows, RAG pipelines, or your own content workflows.
What Does URL to Markdown Do?
This tool fetches a live webpage and extracts its main content as clean Markdown — stripping away navigation menus, ads, cookie banners, and HTML clutter that would otherwise pollute your output.
You get:
- Markdown output — the full article or page body, formatted with headings, lists, and code blocks preserved
- Page title — the detected title of the page
- Word count — how much content was extracted
- Fetch method — which parser was used (useful for debugging)
- Source URL — the original URL for reference
The result is clean, portable text you can use anywhere.
Why Convert URLs to Markdown?
Feed Web Content to AI Agents and LLMs
Large language models work best with clean plain text. Passing raw HTML to an AI is wasteful — it burns tokens on tags, scripts, and boilerplate. Converting a URL to Markdown first gives the model only the signal, not the noise. Use this tool to:
- Feed current web content into ChatGPT, Claude, Gemini, or any LLM
- Provide real-time context to AI agents without hallucination
- Include live documentation, articles, or research in your prompts
Build RAG Pipelines
Retrieval-Augmented Generation (RAG) systems rely on clean, chunked text. URL to Markdown is the ideal first step in any RAG ingestion pipeline — convert pages to Markdown, chunk by heading, embed, and index.
Archive and Preserve Web Content
Web pages change or disappear. Converting them to Markdown gives you a clean, version-controllable archive in a format that works everywhere — editors, Git, databases, note-taking apps.
Research and Content Analysis
Extract the readable content from any article, blog post, documentation page, or news story. Useful for competitive research, content audits, and summarization workflows.
Developer and Automation Workflows
Integrate URL to Markdown into your automations via the API or MCP server. Fetch and process web content programmatically inside agents, scripts, or pipelines.
Fetch Modes
Auto Mode (Recommended)
The default mode. Uses a fast built-in Readability parser to extract main content directly — no third-party service, minimal latency. If that fails (e.g. JavaScript-heavy pages), it automatically falls back to Jina Reader.
Jina Reader Mode
Routes the request through Jina Reader, which handles Single Page Applications (SPAs) and JavaScript-rendered content better. Use this for React, Vue, or Next.js sites where the content is not in the initial HTML.
Use Cases by Role
| Who | How they use it |
|---|---|
| AI / LLM developers | Feed live web content into prompts and agents |
| RAG engineers | First stage of document ingestion pipelines |
| Content researchers | Extract clean text from competitor pages |
| Writers and journalists | Archive sources in portable Markdown |
| Developers | Automate content extraction via the REST API |
| No-code / automation builders | Use with Zapier, Make, or n8n via API |
Frequently Asked Questions
What is URL to Markdown?
URL to Markdown is an online tool that converts any webpage into clean Markdown text. It fetches the page, strips HTML structure and clutter, and returns the readable content formatted as standard Markdown.
How do I convert a URL to Markdown?
Paste the full URL (including https://) into the input field and click Convert. The tool fetches the page and returns the extracted Markdown within seconds.
What is URL to Markdown used for?
The most common use cases are feeding web content to AI models and LLMs, building RAG (Retrieval-Augmented Generation) pipelines, archiving articles for offline use, and extracting clean text for content research or summarization.
Can I use this to feed web pages into ChatGPT or Claude?
Yes. Convert the URL to Markdown, then copy and paste the output directly into your AI chat. The clean Markdown format is far more token-efficient than raw HTML, and most LLMs parse it well.
What is the difference between Auto mode and Jina Reader mode?
Auto mode uses a fast built-in Readability parser and falls back to Jina if it fails. Jina Reader is better for JavaScript-heavy or Single Page Application (SPA) sites where content is rendered client-side. For most standard websites, Auto mode is faster and works well.
Does it work on paywalled or login-required pages?
No. The tool can only extract publicly accessible content. Pages that require authentication or bypass paywalls cannot be fetched.
Is the Markdown output suitable for LLM context windows?
Yes. The output removes all HTML tags, navigation, ads, and scripts — leaving only the semantic content. This makes it ideal for inclusion in LLM context windows where token efficiency matters.
Can I use URL to Markdown in a RAG pipeline?
Yes. This is one of the primary use cases. The Markdown output can be chunked by heading, embedded with any vector model, and stored in a vector database for retrieval.
Is there an API for URL to Markdown?
Yes. URL to Markdown is available via the lots.tools REST API at POST https://lots.tools/api/v1/tools/url-to-markdown/execute. Generate an API key at your dashboard to get started. It is also available as an MCP tool.
What websites does URL to Markdown work on?
It works on any publicly accessible HTTP or HTTPS webpage — blogs, documentation sites, news articles, product pages, and more. JavaScript-heavy SPAs work best with Jina Reader mode.
How is this different from just copying text from a webpage?
Manual copying loses structure — headings become plain text, lists lose formatting, and code blocks are unreadable. URL to Markdown preserves the semantic structure as proper Markdown, including # headings, - lists, `code`, and **bold**.
Start Converting
Paste any URL above and get clean Markdown in seconds. No signup required for free use.