PDF to Markdown
Convert PDF text to Markdown with structure detection.
Drag & drop files here, or click to select
How it works:
- Extracts text content from PDF pages
- Detects headers based on font size and style
- Identifies bullet points and numbered lists
- Preserves page structure with separators
- Adds page number comments for reference
Note: This tool works best with PDFs that contain selectable text. Scanned PDFs or images will not produce meaningful results. Results may vary depending on the PDF's original formatting and text layout.
How to Convert a PDF to Markdown Format
Upload your PDF file using the file picker or drop it into the upload area.
The tool reads the text layer of each page and detects headers, lists, and paragraph structure.
Click Convert to process the document and generate Markdown output.
Review the Markdown in the preview box, copy it to clipboard, or download the .md file.
Why Convert PDF to Markdown with SonuPDF?
Structure-Aware Extraction
Uses font size and text position to detect headings (H1, H2, H3), bullet points, numbered lists, and paragraph blocks automatically.
Copy or Download
Copy the Markdown output directly to your clipboard for use in editors like Obsidian, Notion, or GitHub, or save it as a .md file.
Multi-Page Support
Every page is extracted and separated with horizontal rule dividers so the structure of long documents is preserved in the output.
Client-Side Privacy
All text extraction runs in your browser with PDF.js. No file is uploaded to a server, so your document content stays on your machine.
Frequently Asked Questions – PDF to Markdown
The tool detects headings based on font size, bullet points from common bullet characters, numbered lists, and lettered lists. Body text is output as plain paragraphs.
Yes. The output follows standard CommonMark syntax and works in GitHub README files, Jekyll, Hugo, Docusaurus, and most static site generators.
No. Scanned documents do not have a text layer. To convert scanned PDFs to Markdown, first run them through the OCR tool to generate searchable text.
Heading detection uses font size heuristics and works well on most documents. Complex mixed layouts may require light manual editing after conversion.