mdstill - Showcase Project
Listed April 21, 2026
About mdstill
LLM-ready document preprocessing.Any format → clean markdown → efficient prompt
mdstill is a document-ingestion tool purpose-built for LLM and RAG workflows. Where generic converters dump messy text, mdstill outputs clean, semantic markdown that preserves tables, headings, and document structure — the things LLMs actually need to understand context. What you can do with it: Prepare documents for RAG pipelines (chunk-ready, semantic boundaries preserved) Feed PDFs, Word files, or spreadsheets into ChatGPT, Claude, or Gemini without losing tables Build knowledge bases in Obsidian, Notion, or Logseq from existing document archives Extract structured context for AI agents and embeddings How it's different: Deep-conversion mode runs layout-aware parsing (tables, OCR, multi-column PDFs) — not just text dumping. Markdown output is 40% more token-efficient than raw text, so your LLM costs drop. REST API available for pipeline automation. Free tier, no signup required for basic use. Competes with markitdown, Unstructured.io, and LlamaParse — but with a zero-friction web UI.
Project details
Website: https://mdstill.com/
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