Fast, reliable
document to Markdown
PDF, Word, Excel, PowerPoint, HTML, JSON, XML and 10+ more formats — drop a file and get clean .md in under a second. Built for LLM prompts, RAG pipelines, and developer workflows.
Drop file here or click to browse
…or paste a file from clipboard ⌘/Ctrl V
Max file size: 20MB ·
Have Markdown? Convert it the other way.
Turn .md into PDF, Word, HTML, EPUB, PowerPoint, RTF, ODT, or LaTeX →
How mdstill works
Three steps. No configuration, no accounts, no uploads stored on a server.
Upload
Drag and drop your document, paste it from the clipboard, or pick it with the file picker. 18 common document formats supported, including PDF, DOCX, PPTX, XLSX, HTML, EPUB and all three Apple iWork formats.
Convert
mdstill extracts text, tables, and document structure with a layered, layout-aware conversion pipeline, then writes clean GitHub-flavored Markdown. Most files finish in under a second on the fast path.
Ready
Copy the Markdown to your clipboard, download the .md file, or pipe it straight into a vector database with the structured / token-aware output option. No bloat, no broken links, just clean syntax.
> Processed in 0.4s
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Ready for export.
Supported formats
Eighteen formats covered by a single endpoint. Click any format for a conversion guide, before/after examples, and format-specific notes.
Who uses mdstill
Developers, researchers, and writers use mdstill to get documents into the format every modern tool actually reads well.
ChatGPT and Claude prompts
Drop a PDF or Word report into an LLM prompt without losing tables, headings, or code. Models read Markdown structure correctly and spend fewer tokens.
sparkGemini context
Markdown is the cleanest input for Gemini — headings, code blocks, and tables stay intact. Convert a PDF once, paste into the chat, keep the structure.
account_treeRAG with LangChain, LlamaIndex
Markdown preserves the structural signals retrievers need — headings become chunk boundaries, tables stay queryable. Pair with our structured / token-aware output for vector stores.
menu_bookObsidian, Notion, Logseq vaults
Convert old Word docs, PDFs, and Keynote decks into clean .md that drops straight into a vault or workspace with headings and links intact.
corporate_fareConfluence and Jira imports
Turn customer-sent DOCX/PDF specs into Markdown you can paste into Confluence pages or Jira tickets — heading hierarchy and tables survive the round trip.
hubn8n, Zapier, Make automations
Hook /api/convert into a no-code workflow: email attachment in, clean Markdown out. Feed the result to an LLM node, a database, or straight into Notion.
sourceGitHub and GitLab wikis
Convert DOCX/PDF specs into Markdown that lives in your repo wiki or docs/ folder — version-controlled, diff-able, rendered everywhere code hosts render.
smart_toyCursor and Copilot context
AI IDEs read Markdown faster and more reliably than PDF. Convert a spec once, drop the .md into your repo, and the assistant reasons over the whole document.
apiDeveloper API integration
REST API with keys in the dashboard. Multipart/form-data in, Markdown out — no SDK needed. cURL, Python, JS, Go, and PHP examples in the docs.
inventory_2Batch archive migration
Migrate a folder of legacy .doc/.rtf/.pages files to Markdown in one pass. Free and Pro tiers support multi-file batches; API supports streaming.
Why Markdown for LLM and developer workflows
LLMs read Markdown more reliably than PDF, HTML, or raw text. The structure — headings, lists, tables, code fences — is explicit rather than implied by layout, so the model sees the same document you do. That lifts retrieval accuracy in RAG and reduces the kind of hallucinated “I can’t find that section” answer you get when you dump a PDF directly into a prompt.
Markdown is also dense: a typical DOCX or PDF loses 30–60% of its token count once stripped of XML and style junk. Fewer tokens mean cheaper API calls, more context budget for your actual instructions, and faster responses. For RAG specifically, heading boundaries give a natural place to cut chunks that don't shred tables in half.
For developer workflows the story is similar: Markdown diffs cleanly in git, renders in every code host and editor, and imports straight into Obsidian, Notion, and static site generators. One conversion, consumable everywhere.
mdstill does this conversion with a layered pipeline of battle-tested parsers and layout-aware extractors — not a brittle custom regex stack nobody audits. Files touch a stateless worker for about a second, then disappear.
Frequently asked questions
“Files are deleted immediately after processing. We don't store your data. mdstill runs entirely stateless conversion workers for maximum security.”