What is this website?
Marklune is an online tool that converts PDFs, office documents, web pages, and other content into structured Markdown. It is aimed at people who need to bring source material into notes, knowledge bases, or AI workflows, with an emphasis on retaining heading hierarchy, lists, and tables instead of exporting only a continuous block of plain text. Users can submit files or public web-page URLs in a browser, or use the API to obtain Markdown or JSON; scanned documents can be read with OCR.
Core features
- Supports conversion of PDF, DOCX, Word, Excel, CSV, HTML, JSON, EPUB, PowerPoint, images, and other formats to Markdown.
- Identifies headings, lists, block quotes, and multi-column content from page layout, producing Markdown that can be processed in chunks.
- Converts complex tables to GitHub Flavored Markdown tables for reading in documentation or code platforms.
- Uses OCR for scanned and image-only PDFs, with claimed support for more than 100 languages.
- Accepts public web-page URLs, extracting primary content while omitting navigation, ads, footers, and other page clutter.
- Results can be copied, downloaded as
.md, or exported as JSON; developers can also use the API, batch processing, webhooks, and signed URLs.
Common use cases
- Development teams organize reports, manuals, or contracts, converting files to chunkable Markdown before building a RAG retrieval base.
- Researchers process papers and scanned materials, retaining sections, lists, and tables before importing them into a note system.
- Knowledge-management staff turn public documentation sites or help pages into Markdown for an internal wiki, Obsidian, or Notion.
- Data and finance teams extract tables from reports, invoices, and filing documents for use in downstream analysis.
Who is it for?
- Developers, technical writers, and knowledge-management staff who need to normalize multiple document formats into Markdown.
- Teams preparing LLM context, vector retrieval, or agent input that value heading and table structure.
- Research or operations staff who want to extract article text from public web pages and reduce manual copy-and-clean work.
- It is less suitable for people who only occasionally need to view a PDF in its original visual layout, or who must process pages behind a login or paywall.
How does it compare with similar tools?
Compared with converters that extract only plain text, a useful question is whether output retains headings, lists, tables, and multi-column order. For scanned documents, OCR language support and recognition quality should also be checked against the source material. When a workflow needs batch integration, compare the API, JSON output, webhooks, and file-size or page-count limits. For web conversion, note that such tools generally can access only publicly available pages.
FAQ
Q: What can Marklune convert?
A: Its website lists PDFs, office documents, spreadsheets, HTML, JSON, EPUB files, images, slides, and public web-page URLs as input types.
Q: Can scanned PDFs be converted to Markdown?
A: Marklune says it uses OCR to read scanned or image-only PDFs. Actual results still depend on source clarity and layout.
Q: Can the converted output be used for RAG or AI agents?
A: Output is available as Markdown or JSON for later chunking, embedding, and knowledge-base workflows. Suitability for a particular model should still be tested against content quality.
Q: Does web conversion support logged-in pages?
A: The website says public web-page URLs can be pasted. Pages behind logins or paywalls are outside its publicly stated support scope.
