Marklune

Marklune converts documents (PDFs, Office files, HTML) into clean, structured Markdown, preserving layout and tables. Ideal for RAG pipelines, AI apps and knowledge bases.

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Websitemarklune.com
Published2026/08/20

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What is Marklune

Marklune converts PDFs, Office files, and HTML into clean, structured, LLM-ready Markdown while preserving the original layout — multi-column pages, headers, footnotes, and figures.

Key Features

Layout-Aware Design: Reconstructs page structure so columns, headers, and figures are accurately represented.
Table Preservation: Multi-row tables convert to clean GitHub-flavored Markdown with cell-for-cell accuracy.
Heading Hierarchy: Maps H1-H6, lists, and blockquotes for clean chunking in RAG pipelines.
Built-in OCR: Handles image-only and scanned PDFs.
Format Support: PDF, DOCX, Word, Text, DOC, RTF, Excel, CSV, HTML, JSON, EPUB, Image, PowerPoint — all to Markdown or structured JSON.
Developer API: Simple REST endpoint with batch processing, webhooks, and signed URLs.
Multilingual: Unicode-clean output across 100+ languages including Latin, CJK, Arabic.
Privacy & Security: In-memory processing, files deleted within minutes, SOC 2-ready.

How It Works

File Submission: Drag and drop, paste a URL, or send via API — single documents or batches of thousands.
Layout Analysis: Advanced engine analyzes structure and applies OCR where needed.
LLM-Ready Output: Clean Markdown or structured JSON, perfect for RAG, notes, and knowledge bases.

Use Cases

RAG & Vector Search: Accurate retrieval with clean, chunkable Markdown.
AI Agents & Assistants: Readable context from contracts, reports, and manuals.
Knowledge Bases: Export structured Markdown to Obsidian, Notion, or internal wikis.
Data & Finance Teams: Transform financial statements and invoices into structured tables and JSON.

Marklune offers a free plan with 50 pages per month, and integrates with OpenAI, Claude, LangChain, LlamaIndex, Pinecone, Obsidian, Notion, Cursor, Supabase, and Zapier.