Rewrite Comments and Docstrings Without Touching Program Logic
Paste code comments or docstrings. What gets rewritten is the prose — docstrings, block comments, line notes — to humanize code without altering execution. Conversational Mode is selected to give comments a natural, peer-to-peer tone.
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Humanized output
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Why generated comments all read the same
A generated comment has a narrow set of moves and it makes all of them, every time. It restates the signature — // Returns the user sitting directly above a function called getUser — which tells you nothing you could not read from the line below it. It explains the what instead of the why: what a loop does, not why it exists, when the code already shows the what more precisely than prose can. And it reaches for the same four or five openers — this function, this method is responsible for, the following code, note that — regardless of what the code actually does. A comment that only restates the code is worse than no comment at all, because now there are two places to keep in sync instead of one, and the day they drift the comment becomes actively wrong rather than merely useless.
What counts as prose in a source file
Prose, for this tool, means docstrings, block comments, line comments, and the explanatory paragraphs of a README — the parts of a file written to a person rather than to a compiler. It explicitly does not mean identifiers: a variable or function name is not touched even when it reads like an abbreviation of a sentence. It does not mean string literals, because a literal is data your program depends on and rewriting one is a behaviour change wearing a copy-editing disguise. It does not mean type names, interface members, or anything that appears inside a fenced code block in a README or a docstring's own example, since a code fence is executable content by convention even where it happens to sit inside a comment.
Why the logic is never touched, and how you verify that
The honest position is this: no tool can prove it left your logic untouched, and this one does not claim to. It also does not parse your code. There is no syntax-aware pass here that separates a comment from a string literal, so a whole file pasted in is treated as prose from end to end, and an identifier or a literal can be rewritten along with the comment above it. Paste the comment or the docstring you want reworked rather than the file around it. The safe way to use this is mechanical: run your test suite before and after, and read the diff line by line rather than skimming it. If your tests still run clean and the diff shows changes only inside comments and docstrings, you have verified the claim yourself instead of trusting it.
What a good comment says instead
A comment earns its place by carrying the why a reader cannot get from the code. The constraint that forced this approach: this retries three times because the upstream API rate-limits after two. The thing that looks wrong but is deliberate: this loop skips the last item on purpose, because the caller handles it separately. The pointer to context that lives outside the file: see issue 412, this was reverted twice before this version stuck. Concretely: a generated comment reads // Returns the user, given a user id; a comment worth keeping reads returns null rather than throwing here, because the caller already handles a missing user and a thrown error would just be caught and rethrown one frame up. The second one tells you something the function's own code does not.
How to humanize AI code comments and documentation
AI coding assistants generate comments that are notoriously repetitive and rigid, repeatedly stating the obvious like 'iterates through array' or 'initializes variable'. To humanize code effectively, the tool focuses on explaining intent, architectural trade-offs, and unexpected edge cases rather than tautological restatements of code syntax. When you humanize AI code comments with this workflow, your documentation reads like it was authored by an experienced human software engineer rather than an auto-complete model.
About Code Humanizer
Could it change a line of executable code?
It does not restrict itself by parsing your code — there is no syntax-aware pass in this engine, so whatever you paste is treated as prose. Paste the comment, the docstring or the README section you want reworked rather than the whole file, and the Highlights will show you every span that changed. Run your test suite before and after regardless: this tool cannot prove it left your logic alone, and you should not take its word for it.
Does it work on any language?
It works on the comment and docstring conventions common to mainstream languages — line comments, block comments, and the doc-comment formats used by Python, JavaScript, TypeScript, Java, Go and similar. A language with an unusual or highly structured comment format may not be fully covered, and in that case the safest approach is a small file first, checked against a diff, before running anything larger.
Will it rewrite my API documentation into something informal?
Conversational Mode is selected here by default because most comments are written to a colleague, but a Mode is a choice you control, not a fixed property of the tool. If your comments are public API documentation with a formal house style, switch to Standard Mode before running it — Conversational Mode's informal openers are exactly the ones you would want to avoid there, and the Highlights let you catch any that slipped through anyway.
Should I run this over a whole repository?
Prefer one file or one pull request's worth of changes at a time. A repository-wide run turns a small, reviewable diff into a large one, and the value of the Highlights depends on someone actually reading them — a hundred changed comments across forty files gets skimmed, not checked. File by file also matches how you would run your test suite to verify nothing outside comments moved.
Can I use this to humanize code comments from AI assistants?
Yes. When coding assistants generate functions, they routinely attach mechanical comments that recite the method signature. This tool cleans that artificial phrasing into succinct, developer-friendly commentary while keeping your executable code untouched.