Python Code Humanizer — Clean Up AI Python Code to Match Your Style (Free)
AI-generated Python works, but it rarely matches the codebase it lands in. Here is how to clean it up so it reads like the rest of your project — and a free tool that does it in seconds.
What gives AI-generated Python away
Comments that restate the code — # Loop through each item above a for loop adds nothing a reader can't see
"Step 1:", "Step 2:" scaffolding — useful while the model was reasoning, noise once the code is in your repo
Naming that ignores your project — camelCase locals in a snake_case Python codebase, or the other way round in JavaScript
Needless temporaries — result = a + b followed immediately by return result
Docstrings that repeat the function name — """Calculate the total.""" on calculate_total()
Before and after
This is a typical AI draft and the real output of Code Humanizer's Idiomatic preset at 100%. Same logic, less noise.
AI draft
import json
def load_user_settings(file_path, default_theme=None):
"""Load the user settings."""
# Step 1: Open the file and read the contents
with open(file_path) as f:
rawData = json.load(f)
# Step 2: Check if the theme is set
if rawData.get("theme") == None:
rawData["theme"] = default_theme # set the theme to the default theme
# Step 3: Create the user settings dictionary
userSettings = {"theme": rawData["theme"], "language": rawData.get("language", "en")}
return userSettings
After Code Humanizer (Idiomatic, 100%)
import json
def load_user_settings(file_path, default_theme=None):
"""Load the user settings."""
# Open the file and read the contents
with open(file_path) as f:
raw_data = json.load(f)
if raw_data.get("theme") is None:
raw_data["theme"] = default_theme
return {"theme": raw_data["theme"], "language": raw_data.get("language", "en")}
The convention it applies for Python: snake_case for variables, is None instead of == None.
Python-specific clean-ups
Use is None / is not None instead of == None (PEP 8)
snake_case for locals; keep PascalCase for classes and UPPER_CASE for constants
Keep docstrings that document arguments and return values; drop ones that only repeat the function name
Let Black or Ruff handle formatting once the code is cleaned up
Try the free Python code humanizer
Paste your Python code, pick a style preset and copy the result. 3 free tries, no account needed.
No. Code Humanizer only changes comments, whitespace, local variable names and redundant temporaries. Renames are applied consistently and skip strings, attribute access, keyword arguments and object keys. As with any change, run your tests.
A note on coursework
Code Humanizer is a readability and style tool. It isn't designed to hide who wrote code, and using it to break a course's academic integrity rules is against our Terms of Service. If your course allows AI assistance, comparing an AI draft with a cleaned-up version is a good way to learn idiomatic style.