There are several free ways to make AI-generated code read like the rest of your project. Here's what each one does well, where it falls short, and when to use it.
A good humanizer makes AI code consistent with your codebase: it removes comments that restate the code, strips "Step 1" scaffolding, applies your naming convention and simplifies needless indirection — without changing what the code does.
Built specifically for cleaning up AI-generated code in Python, JavaScript, Java and C/C++.
Free and essential, but they handle layout and lint rules — not comment noise, naming that ignores your project, or needless temporaries. Use them after any clean-up step.
Prompting "match this style" can work, but results vary between runs, it may change logic you didn't ask it to touch, and you have to diff every answer carefully.
Always worth doing, and free — but slow if you're cleaning up AI output every day.
Use Code Humanizer for the comment, naming and simplification pass, your formatter for layout, and your own review before committing.
Paste your code, pick a style preset and copy the result. No credit card required.
Clean up AI code freeCode 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.