Convert Jupyter Notebooks (.ipynb) to Markdown
.ipynb notebooks to Markdown with code cells, outputs, and prose preserved — entirely in your browser. No Python, no server, no upload required.Processing happens 100% in your browser — nothing is uploaded.
How to convert a Jupyter notebook to Markdown
- Upload: drop your .ipynb file onto the dropzone, or click to browse.
- Process: the converter parses the notebook JSON and maps each cell type — markdown, code, and raw — to its Markdown equivalent.
- Download: copy the result or save it as a .md file ready for GitHub, Obsidian, or any Markdown editor.
Why Convert Jupyter to MD with MarkdownForge?
Code cells and outputs stay intact
Each code cell is wrapped in a fenced code block with the correct language tag. Cell outputs — text, errors, and print statements — are preserved as Markdown blockquotes or plain text beneath the cell.
Pure JavaScript, no Python backend
The converter parses the .ipynb JSON format natively in the browser. You do not need a Jupyter server, a Python environment, or nbconvert installed anywhere.
Safe for proprietary research and private notebooks
Processing runs inside a Web Worker on your own device. Your notebook content — including any embedded data or API keys — never touches a remote server.
Jupyter to Markdown — FAQ
Are code cell outputs included in the Markdown?
Yes. Text outputs and stream outputs are included beneath each code cell. Image outputs (PNG/SVG) are noted as placeholders since binary data cannot be embedded as portable Markdown.
Does it support all Jupyter kernel languages?
The converter reads the kernel language metadata from the notebook and applies it as the fenced code block language tag. Any kernel language stored in the .ipynb metadata is supported.
Is my notebook uploaded to a server?
No. The .ipynb file is parsed entirely in your browser using the native JSON format. Nothing is transmitted to any server.
Can I convert notebooks with widgets or interactive outputs?
Widget state and interactive outputs are not rendered — they require a live kernel. The converter extracts the static text and code content only.
What is the difference between this and nbconvert?
nbconvert runs server-side and requires a Python environment. This converter runs entirely in your browser with no installation, making it faster for quick conversions and safe for notebooks you cannot upload.