Add your IPYNB file
Drop one or more .ipynb files onto the converter above, or browse for them. They load into browser memory only — nothing is uploaded, so there is no size-based pricing and no server queue.
Converting a .ipynb file to .py extracts the document's content from its office package into a portable form. Free, private, and validated — the file never leaves your browser.
Batch files can each use a different output. Nothing uploads for local conversions.
Working inputs include camera RAW, browser-local audio/video, PDF, CBZ/CBR comics, office documents, ebooks, markup, 3D models, structured text, images, and archives.Converting a .ipynb file to .py extracts the document's content from its office package into a portable form. An .ipynb file is a Jupyter notebook: a JSON document holding an ordered list of cells, each either markdown prose or executable code, with each code cell's stored outputs — text, tables, images, HTML — saved alongside it. It is a record of an analysis, not just its source.
A .py file is python source output extracted from Jupyter code cells without execution. This release documents the format but does not expose a converter until its browser engine passes the fixture gate. For this route the practical draw is can be handled without uploading private source data when a local engine is available and registry-backed routes expose only outputs with a concrete encoder — balanced against some format-specific metadata cannot be represented by every target, which is worth knowing before you commit a large batch.
The practical trigger for this conversion is usually a mismatch: with .ipynb, jSON with embedded outputs makes version control and code review painful. Switching to .py buys you can be handled without uploading private source data when a local engine is available, which is why it is the better fit for opening or exchanging Python source files without sending them to a remote converter. Because the conversion runs locally, trying it costs nothing but a few seconds of compute on your own machine.
| Aspect | Jupyter notebook (.ipynb) | Python source (.py) |
|---|---|---|
| Format type | Text-based — characters and structure, so there is no visual quality loss | Text-based — characters and structure, so there is no visual quality loss |
| How it stores data | the file is JSON with a cells array and an nbformat version field; anything claiming to be a notebook without both is not one | the public file extension is .py |
| Strongest at | data analysis and machine-learning experiments kept alongside their results | opening or exchanging Python source files without sending them to a remote converter |
| Weak spot | jSON with embedded outputs makes version control and code review painful | some format-specific metadata cannot be represented by every target |
| Metadata | kernel and language metadata are read; the Python export uses it to decide the script it writes | metadata preservation is target-dependent and may be partial; the converter reports normalization or loss where applicable |
Drop one or more .ipynb files onto the converter above, or browse for them. They load into browser memory only — nothing is uploaded, so there is no size-based pricing and no server queue.
Select .py in the output menu next to each file. The menu only offers targets this engine can genuinely produce, so if PY is selectable, the route is real and validated.
Press Convert. The package is unzipped in memory and its XML content parsed locally; nothing is uploaded.
Each result is signature-checked before the download unlocks, so a failed encode can never masquerade as a valid PY file. Outputs keep the original filename with the .py extension.
There is no visual quality to lose — ipynb is text-oriented and py is text-oriented, so the question is structural fidelity. Text, ordering, and basic structure are preserved; complex layout, embedded objects, and styling beyond the target's model are simplified.
Yes — the .ipynb file is processed inside your browser tab and never uploaded. The package is unzipped in memory and its XML content parsed locally; nothing is uploaded. Close the tab and the file is gone from memory.
Python source compatibility depends on the producing application and the format revision. Novus Convert's guide remains reference-only until the browser implementation is verified.
It depends on the content: the public file extension is .py. Convert one representative file first and compare before batch-processing a large set.
In .ipynb, kernel and language metadata are read; the Python export uses it to decide the script it writes. Re-encoding through the browser pipeline does not carry embedded metadata into the output, which doubles as a privacy scrub — check the exported file if you specifically need tags preserved.