What website is this?
Marklune is a browser-based converter for turning documents and web content into structured Markdown. It is aimed at people who need text that retains useful document structure rather than a plain-text extraction, such as headings, lists, tables, links, and code blocks. It accepts formats including PDF, Office files, HTML, spreadsheets, EPUB, images, and web pages. The service is particularly relevant when converted material needs to be moved into documentation, a CMS, a knowledge base, or a RAG workflow.
Key Features
- Converts PDF, Office documents, spreadsheets, HTML, EPUB, images, and web content into Markdown.
- Preserves headings, lists, tables, emphasis, links, and code blocks where the source supports them.
- Uses OCR for scanned or image-only PDFs, according to the product site.
- Lets users copy or download Markdown and export structured JSON from the conversion flow.
- Provides a REST API, batch conversion, webhooks, and Python and Node SDKs for higher-volume workflows.
Common Use Cases
- Developers preparing PDF, DOCX, or HTML source material for a RAG pipeline can convert files before chunking and embedding them.
- Documentation teams migrating existing web pages or Office documents to a Markdown-based documentation site can retain common structural elements during conversion.
- Knowledge-base managers can turn reports, papers, or spreadsheets into text that is easier to store, search, and reuse in Markdown-oriented tools.
- Researchers or operations staff working with scanned PDFs can use the OCR path to obtain editable Markdown, then review the result against the original file.
Who Is It For?
- Developers and AI application teams preparing source documents for retrieval, embeddings, or LLM context.
- Documentation and content teams moving material into Markdown, a CMS, or a knowledge base.
- People who regularly handle PDFs, Office files, HTML, and spreadsheets and need a common text format.
- Users who need exact visual fidelity, specialized layout editing, or conversion without checking the output may find a document editor or manual review more appropriate.
How It Compares to Similar Tools
Marklune is positioned around structured Markdown rather than simple plain-text extraction. When choosing a converter, it is useful to check whether the required input formats are supported, how headings and tables appear in the output, whether OCR is needed, and whether browser use or API and batch processing fit the workflow. Conversion quality can vary with complex layouts, so source files should be reviewed when structure matters.
FAQs
Q: Can Marklune convert scanned PDFs?
A: The product site states that it uses OCR for scanned and image-only PDFs. Review the generated Markdown against the source when recognition accuracy is important.
Q: Which files can be converted to Markdown?
A: The site lists PDFs, Office documents, spreadsheets, HTML, JSON, EPUB, images, presentation files, and web-page or URL inputs. Available options may depend on the conversion path.
Q: Is Marklune suitable for RAG preparation?
A: It can provide Markdown with document structure for later chunking and embedding. It is a conversion layer, so downstream indexing, retrieval, and output validation remain the user's responsibility.
Q: How does Marklune handle uploaded content?
A: Its privacy policy says document content is processed transiently and not persisted in its database or used to train AI models; it retains lightweight conversion metadata such as file name, page count, source, and date.
