JustMarkdown is a document-to-Markdown workspace: convert PDF, EPUB, Word, and web sources into clean Markdown, then read, chat with AI, and export in one continuous flow for research, drafting, and knowledge capture.
| Comparison area | Traditional readers | JustMarkdown |
|---|---|---|
| Reading and note flow | Read in one app, take notes in another, then manually merge context. | Convert, annotate, chat with AI, and write Markdown in one continuous workspace. |
| Knowledge management | Highlights, comments, and drafts are fragmented across tools. | Source content, extracted insights, and notes stay connected as one knowledge base. |
| AI extraction | Requires copy and paste between reader and assistant windows. | Runs AI-assisted extraction directly in the document-to-Markdown workflow. |
| Output and sharing | Export options are limited and often require additional formatting tools. | Export polished results to PDF, HTML, Word, or image from the same workspace. |
Convert, read, annotate, ask AI, and export — in one continuous flow. No copy-pasting between a reader, an assistant, and a notes app.
Open the workspace→Also available as an MCP server for Claude / Cursor→
Three steps. No plugins, no batch queue, nothing to install.
PDF, Word, Excel, EPUB, HTML, images, audio — drag one into the workspace.
Headings, tables, code, and OCR text are extracted, and layout noise is removed.
Annotate, ask the AI, and export to PDF, Word, or HTML in the same workspace.
18 input formats and 31 tools, each opening a focused page.
Conversion is the beginning. The result stays editable Markdown in one workspace, so the next step never starts with copy-paste.
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One config block, no install. That's the whole setup.
The engine converts the document — it doesn't ask the model to retype it. The same input gives the same output every time.
The conversion happens inside the conversation — no browser tab or download folder required. Files and URLs come back as clean Markdown.
The hosted endpoint needs no local package and works anonymously with a small daily quota. Paste the block below and convert_url is available on the next message.
// claude_desktop_config.json — remote, nothing to install { "mcpServers": { "justmarkdown": { "url": "https://justmarkdown.com/api/mcp" } } } // documents & URLs -> clean Markdown, no install convert_url(url)
Three patterns we see across research, building, and automation.
Sifting through lengthy API documentation or drafting a quick product spec? Use the AI to parse technical details, brainstorm architecture ideas, and quickly format them into code-friendly Markdown. Go from a raw concept to a structured, ready-to-share document without ever breaking your focus.
Open the PDF → Markdown toolFacing a 50-page academic paper? Have the AI quickly summarize complex methodologies and highlight key findings. Pull those insights directly into the right-hand editor to draft your literature review in clean, structured Markdown, keeping your sources and notes well aligned.
Enter the workspaceInstead of hoping the model can read a URL, hand it an MCP tool that turns documents and URLs into clean Markdown. Add the endpoint, call the tool, and get the result back in context.
Set up the MCP serverThe difference is that conversion is only the first step. You can keep reading, annotating, asking AI questions, and exporting from the same Markdown workspace instead of ending with a disposable download.
It is a strong fit for PDFs, web pages, Word files, spreadsheets, screenshots, and AI conversations when you still need to study, organize, or write from the result afterward.
Yes. The goal is to preserve the result as useful Markdown so you can continue cleaning, expanding, annotating, and exporting it instead of treating conversion as the final step.
It is built for creators, researchers, and knowledge workers who regularly move from messy source material toward a clearer draft, report, note set, or published document.
The hosted /api/mcp endpoint exposes six tools: convert_url and convert_base64 turn documents and URLs into clean Markdown, request_upload_url and convert_upload handle files too large for base64 (API key required), and list_supported_formats and usage_status report capabilities and quota. It works anonymously with a small daily quota; add an API key for OCR, larger uploads, and higher limits. Clients that can only launch a local process can run npx -y justmarkdown, a stdio bridge to the same endpoint.
No. The remote endpoint works anonymously with a small daily quota, and the stdio bridge needs no key either because it forwards to that same endpoint. API keys (created in account settings) are optional and only unlock OCR and higher limits.
Open the workspace and convert your first file in seconds. No signup required to try.