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Free online Python code formatter and beautifier. Automatically indent and organize your scripts to improve readability and adhere to PEP 8 standards.
Overview
Understand what the tool solves, how it works, and the boundaries of its data.
Paste Python source text into the editor and choose Beautify or Minify. Beautify can reindent using spaces or tabs, with selectable two-, four-, or eight-space indentation when spaces are chosen. Its spacing option normalizes a limited set of whitespace around punctuation, and a separate option removes comments. It also trims line-end spaces and reduces runs of blank lines.
Minify is a separate compacting mode. The page reports output character and line counts and offers a copy or download action. This is a lightweight text transformation, not a Python interpreter, syntax validator, linter, or full PEP 8 formatter. PEP 8 is Python’s style guide, but selecting an indentation size does not apply all of its recommendations.
Python uses leading whitespace to determine indentation levels, which can change how code is grouped. Review the result carefully, especially when the input has inconsistent indentation, multiline expressions, or comment-sensitive formatting. The Python language reference explains why whitespace is meaningful.
Guide
Follow the workflow and verify inputs and outputs with practical examples.
Paste Python text into the editor. The page also includes an example you can use to see the controls.
In Beautify, select spaces or tabs and the indentation size; optionally normalize spacing or remove comments. Minify is intended to compact text and is not a substitute for a compiler or packaging process.
Compare the output with your input, check that each block remains correctly indented, then copy it or download the result. Run important code in your usual Python environment before using it.
If a nested if block appears at the wrong level after formatting, correct the source or adjust indentation before using the result. Formatting cannot infer the intended logic when the original whitespace is ambiguous.
Use cases
See how the tool fits into real work and everyday tasks.
A learner can reindent a short example pasted from notes, then compare block levels while studying Python structure.
A developer can normalize indentation in a small snippet before sharing it for review, while still using a project formatter for repository-wide style.
An instructor can use Minify to remove some visual whitespace from a short demonstration, then verify that the compacted text remains understandable and valid.
Q&A
Find concise answers to common questions and confusing cases.
No. It changes text and does not execute or fully validate the program. Run the result in an appropriate Python environment and review any errors there.
No. Its controls cover indentation and limited whitespace cleanup. It does not promise full PEP 8 compliance or the behavior of an AST-based formatter.
Only if you intend to discard them. Comments can explain behavior or preserve reminders, and the removal option cannot judge whether they are useful.
Notes
Review scope, result limitations, and important precautions before use.
Python treats indentation as part of program structure. Automatic reindentation and punctuation spacing are limited text operations and may not preserve intended behavior in every input. Keep an original copy, inspect changes around multiline strings and continuations, and test important code before use. Do not treat a formatted result as proof that code is correct or secure.
Related
Discover related tools, collections, and available API capabilities.