Upload Jupyter Notebook (.ipynb)
Select or drop your .ipynb file to render and convert
Convert Jupyter Notebook to HTML and PDF
Render Jupyter Notebook (.ipynb) files into clean HTML and print-ready PDF documents with syntax highlighting, charts, and tables.
Converting Jupyter notebooks to shareable formats
Jupyter notebooks store code, narrative text, outputs, and visualizations in structured JSON documents. Converting a notebook into standalone HTML or print-ready PDF makes reports easy to read, distribute, and archive without requiring Python runtime environments.
How to export your notebook
- 01Select or drop your .ipynb notebook file into the upload area.
- 02Review the rendered preview to inspect code cells, execution outputs, and visualizations.
- 03Download HTML / PDF 다운로드
Jupyter notebook converter questions
How are code cells and outputs presented in the converted HTML?
Code cells are formatted with monospaced typography and syntax highlighting that distinguishes keywords, strings, comments, and numeric literals. Outputs appear beneath their corresponding source cells, including standard output streams, rendered tabular data frames, vector graphics, raster plots, and formatted execution tracebacks. This layout mirrors interactive notebook environments while maintaining clean visual presentation.
How can I save or print the converted notebook as a PDF file?
도구 모음에서 PDF 다운로드를 선택하세요. 코드 셀, 텍스트 출력, 지원되는 그림을 페이지가 나뉘고 텍스트를 선택할 수 있는 문서로 저장합니다. 큰 노트북은 시간이 더 걸릴 수 있습니다. 노트북을 지우거나 페이지를 떠나기 전에 다운로드가 끝날 때까지 기다리세요.
What types of notebook outputs are supported during conversion?
The converter supports standard stream text outputs, HTML tables such as pandas DataFrames, plain text representations, vector SVG charts, and base64 encoded PNG or JPEG image figures. If a cell generates an execution error, the traceback is displayed with color sequences translated into readable formatting to assist with code inspection and documentation.
Can the downloaded HTML file be shared and viewed without internet access?
The downloaded HTML file is completely self-contained. All styles, syntax highlighting rules, and rendered data outputs are embedded directly within the document markup. You can open the file in standard modern web viewers or archive it alongside project documentation without relying on external network dependencies or remote stylesheet resources.
What notebook formats and versions are compatible?
The converter is designed specifically for Jupyter Notebook format version 4, which is the standard format used by modern JupyterLab, Jupyter Notebook, VS Code, and Google Colaboratory environments. Notebooks saved in older legacy formats can be opened and re-saved in current notebook editors before conversion to ensure full compatibility with the cell schema.