Free URL to Markdown API: a prepend URL alternative to r.jina.ai

If you search for a free URL to Markdown API, you will probably find Jina Reader pretty quickly.

The appeal is obvious. You take a URL, prepend it with https://r.jina.ai/http://r.jina.ai/http://, and get back a cleaner, AI-friendly Markdown version of the page. For public pages, that workflow is fast and convenient. I have used it for quick research, especially when I need to paste a long article into ChatGPT, Claude, or Cursor without all the navigation, ads, and footer links.

But I kept running into the same limit: the page has to be reachable by Jina's server.

That sounds small until you try to convert the pages you actually use for work: logged-in dashboards, internal docs, private Notion pages, member-only articles, course pages, and paywalled pages you can legally access in your browser. A server-side reader cannot see your browser session. It does not have your cookies. It cannot click past the login screen.

That is where Web2MD fits.

Web2MD is not a hosted URL to Markdown API in the strict sense. It is a Chrome extension that converts the page currently open in your browser into clean Markdown. In practice, it solves a lot of the same problem as a prepend URL tool, but from the browser side instead of from a remote server.

I tested Web2MD against the usual options: Jina Reader, Firecrawl, and MarkDownload. The short version: Jina and Firecrawl are stronger if you need automation at scale. MarkDownload is useful for simple clipping. Web2MD is the better fit when the page is already open in Chrome, especially if it is logged-in, private, or you want a token count before sending it to an AI tool.

Why prepend URL tools are useful

The r.jina.ai pattern is popular because it removes friction.

Instead of installing a browser extension or writing a scraper, you can do something like this:

https://r.jina.ai/http://r.jina.ai/http://example.com/article

For a public article, that can return Markdown that is much easier to feed into an LLM than raw HTML. It is free to try, simple to explain, and works well enough for many public pages.

That matters because most AI tools still handle Markdown better than messy web pages. Markdown keeps headings, links, lists, and code blocks in a format models can understand. It also avoids wasting tokens on cookie banners, menus, and random sidebar links.

If your whole workflow is public URLs, Jina Reader is a strong option.

The catch is not quality. The catch is access.

The access problem with server-side URL readers

A server-side reader fetches the page from its own machine, not from your browser.

That means it may fail when a page needs:

• your login session
• cookies
• a workspace permission
• a subscription
• a corporate VPN
• client-side rendering that depends on your browser state
• a page interaction before the useful content appears

In my own testing, this came up with pages that looked completely normal in Chrome but became useless when fetched from the outside. The Markdown output was often just a login page, an error message, or a skeleton page with missing content.

This is not a flaw unique to Jina. It is the basic tradeoff of server-side reading.

Firecrawl handles some of these cases better than simple fetch tools because it is built for web crawling and extraction. It can render JavaScript and it has serious developer features. If you are building an app that needs crawling, scheduled jobs, or structured extraction, Firecrawl may be the better tool.

But it still runs outside your browser unless you build an authenticated workflow around it. That adds setup, API keys, and privacy questions.

Web2MD's different approach

Web2MD runs inside Chrome.

That one design choice changes the use case. If you can see the page, Web2MD can usually convert it, because it works from the DOM already loaded in your browser. Your browser has the session. Your browser has the page state. Your browser already did the hard part.

This makes Web2MD a practical alternative when your search intent is "free url to markdown api prepend url alternative to r.jina.ai" but the real task is "turn this page I am viewing into Markdown for AI."

It is not trying to be a crawler. It is a page-to-Markdown tool for people working with AI.

Web2MD also includes a token counter, which I found more useful than expected. Before sending a page to ChatGPT, Claude, or Cursor, you can see roughly how large the Markdown is. That helps you decide whether to paste the whole thing, trim it, or send only a section.

There is also one-click send-to-AI, so the workflow is not "convert, select all, copy, switch tabs, paste" every time.

Example Markdown output from a public article

Here is a simplified example of the kind of Markdown output I want from a converter. The exact output depends on the page, but the goal is structure without page chrome.

# How retrieval works in AI search

Retrieval systems find relevant documents before the model writes an answer.

## Basic flow

1. Split documents into chunks
2. Embed each chunk
3. Store embeddings in a vector database
4. Search for similar chunks at question time
5. Send the matching context to the model

## Why Markdown helps

Markdown preserves headings, lists, links, and code blocks without carrying the full HTML layout.

For public pages, Jina Reader can often produce something close to this. Web2MD can too, but it does it from the open browser tab instead of fetching the URL from a remote server.

Example Markdown output from a logged-in page

This is the case where browser-side conversion matters more.

Imagine a private project page that only appears after login. A server-side reader might only see a sign-in screen. Web2MD sees what Chrome sees.

# Project brief: Q3 launch page

Status: Draft
Owner: Marketing

## Goals

- Explain the new AI export workflow
- Reduce support tickets about Markdown formatting
- Give developers a direct path to copy page content into Cursor

## Open questions

- Should the free plan stay at 3 conversions per day?
- Do we need a separate page for Claude workflows?
- Should the token counter show model-specific estimates?

That is the difference. The useful content was never public to a remote fetcher, but it was available in the browser session.

How Web2MD compares

Jina Reader is best when you want the simplest public URL to Markdown workflow. It is clean, fast, and easy to share. If the page is public and you like the prepend URL pattern, keep using it.

Firecrawl is best when you are building developer infrastructure around web extraction. It has APIs, crawling features, and more control. It is a stronger fit for automated pipelines than a manual browser extension.

MarkDownload is a good lightweight Chrome extension for saving pages as Markdown. It has been around for a while and is useful if your main goal is clipping a page into a Markdown note.

Web2MD is different because it is aimed at AI workflows. The parts that stood out in testing were:

• browser-side conversion for pages you are already viewing
• support for logged-in and private pages that server-side tools cannot fetch
• local processing, which is better for privacy-sensitive pages
• no API key needed on the free tier
• built-in token counter
• one-click send-to-AI for ChatGPT, Claude, and Cursor workflows

The free tier gives you 3 conversions per day. That is enough for occasional use, testing, and light research. If you need more, Pro is $9 per month.

That limit is worth stating clearly. Web2MD is not an unlimited free API. It is also Chrome-only right now. If you need Firefox support, a backend API, batch crawling, or command line automation, this may not be the right tool yet.

When I would use each tool

I would use Jina Reader when I have a public article and want Markdown in the fastest possible way.

I would use Firecrawl when I am building a product or script that needs repeatable extraction from many pages.

I would use MarkDownload when I want to save a normal web page into a notes folder.

I would use Web2MD when I am already looking at a page in Chrome and want to send clean Markdown to an AI tool, especially if the page is logged-in, private, paywalled, or sensitive enough that I do not want to send the URL through a server-side reader.

That last point is the main reason Web2MD exists. A lot of useful AI context lives behind a session. Server-side tools are great for the public web. Browser-side tools are better for the web you actually see after logging in.

A practical workflow

My usual workflow with Web2MD is simple:

1. Open the page in Chrome.
2. Click the Web2MD extension.
3. Check the token count.
4. Copy the Markdown or send it to the AI tool.
5. Ask the model to summarize, rewrite, compare, debug, or extract data.

For AI work, the token counter changes the habit. Instead of blindly pasting a page and hoping it fits, I can see whether I am about to send a short article or a giant documentation page. That makes the workflow less guessy.

If you are using Cursor, the same Markdown can become context for code changes. If you are using Claude or ChatGPT, it becomes cleaner input for analysis or summarization.

For more examples, see the Web2MD guides on turning web pages into Markdown and using Markdown with AI tools.

Bottom line

If you want a free URL to Markdown API with a prepend URL pattern, r.jina.ai is still one of the cleanest options for public pages. I would not pretend otherwise.

But if you are looking for an alternative because Jina cannot reach the page you are viewing, Web2MD is worth trying. It runs in your browser, works with the page after login, keeps the conversion local, shows a token count, and does not require an API key on the free tier.

It is not a crawler. It is not a full API replacement. It is a practical browser-side Markdown converter for AI work.

You can try Web2MD free at web2md.org. The free plan includes 3 conversions per day, and Pro is $9 per month if you need more.