Marklune is a powerful document conversion service designed to transform various file formats into clean, structured, and LLM-ready Markdown. Unlike traditional converters that often flatten documents into unreadable text, Marklune intelligently preserves the original layout, including multi-column pages, headers, footnotes, and figures, ensuring that the output is genuinely usable for advanced AI applications.
Key Features:
- Layout-Aware Design: Marklune's engine reads documents much like a human would, detecting and reconstructing the intricate structure of pages. This ensures that elements like columns, headers, and figures are accurately represented in the Markdown output.
- Table Preservation: Complex, multi-row tables are meticulously converted into clean GitHub-flavored Markdown, maintaining cell-for-cell accuracy without scrambling columns, which is crucial for data integrity.
- Heading Hierarchy: The service precisely maps heading levels (H1-H6), lists, and blockquotes, making the Markdown output inherently structured and ideal for effective chunking and embedding in RAG pipelines.
- Built-in OCR: For image-only or scanned PDFs, Marklune incorporates robust Optical Character Recognition (OCR) capabilities, ensuring that even non-selectable text is processed and converted.
- Comprehensive Format Support: Marklune supports a wide array of input formats, including PDFs, DOCX, Word, Text, DOC, RTF, Excel, CSV, HTML, JSON, EPUB, Image, and PowerPoint, all converted to high-quality Markdown or structured JSON.
- Developer-Friendly API: The platform offers a simple, single REST API endpoint, allowing developers to integrate conversion capabilities quickly. Files can be POSTed, and Markdown or JSON is returned, supporting batch processing with webhooks and signed URLs. Authentication is managed via Bearer API keys.
- Multilingual Support: It provides Unicode-clean output across over 100 languages, including Latin, CJK, and Arabic scripts.
- Privacy and Security: Marklune prioritizes data privacy, processing files in-memory and deleting them within minutes. The service is SOC 2-ready, ensuring enterprise-grade security.
How It Works: The conversion process is straightforward:
- File Submission: Users can drag and drop files into the web application, paste a URL, or send documents via the API. It handles single documents or batches of thousands, supporting files up to 2,000 pages each.
- Layout Analysis: Marklune's advanced engine analyzes the document's layout, identifying structural elements like columns, tables, headings, and figures, and applies OCR where necessary.
- LLM-Ready Output: The final output is clean Markdown or structured JSON, perfectly prepared for chunking, embedding, and integration into RAG pipelines, note-taking applications, or knowledge bases.
Use Cases: Marklune is invaluable for various applications:
- RAG & Vector Search: Enables accurate retrieval by providing clean, chunkable Markdown, preventing noise from polluting indexes and wasting LLM tokens.
- AI Agents & Assistants: Equips AI agents with readable context from complex documents like contracts, reports, and manuals, allowing them to reason effectively over structured information, including tables.
- Knowledge Bases & Notes: Facilitates the export of structured Markdown into popular knowledge management tools like Obsidian, Notion, or internal wikis, preserving structure and links.
- Data & Finance Teams: Transforms financial statements, invoices, and filings into structured tables and JSON, making them ready for in-depth analysis.
Marklune offers a free plan with 50 pages per month, allowing users to experience its capabilities before scaling with Pro or Team plans. It's compatible with leading AI tools such as OpenAI, Claude, LangChain, LlamaIndex, Pinecone, Obsidian, Notion, Cursor, Supabase, and Zapier.
