How to Make ChatGPT Text Sound More Human
ChatGPT can draft almost anything in thirty seconds. The draft is usually competent and almost always bland — reasonable sentences strung together without a point of view. Getting from that bland draft to something that reads as genuinely human takes about fifteen minutes of editing, if you know what to target.
Start by reading it out loud
The simplest diagnostic: read the draft aloud. You'll hear the problems before you see them. Sentences that sound like a form letter. Phrases you'd never use in conversation. A rhythm that plods along at the same pace forever. Mark these as you go; they're your edit list.
A paragraph that sounds right when you read it aloud will also read as human on detectors. A paragraph that sounds like an encyclopedia entry will score as AI. The two judgments are closely aligned, which is convenient.
Break the rhythm
ChatGPT writes in a narrow sentence-length band. Most sentences land between 18 and 25 words. Each paragraph has three to five sentences of roughly the same size. The rhythm is metronomic.
Fix this by cutting and merging. Take one long sentence and split it. Take two short sentences and merge them with a semicolon. Add a sentence under ten words. Add a one-word sentence if it fits. The goal is dramatic variation: the shortest sentence in a paragraph should be under ten words, the longest over thirty.
This single change does more for human-sounding text than any other edit. Detectors measure it directly as burstiness, and human readers register it as natural cadence.
Delete the formal connectors
Search for "furthermore," "moreover," "additionally," "it is important to note," "it is worth noting," and "in conclusion." Delete them without replacement. You'll be surprised how few were actually doing any work — the sentences around them usually connect fine without the formal glue.
When you do need a transition, use something short: "but," "and," "still," "so." These feel like a human thinking aloud. Formal connectors feel like a textbook author writing for a grade.
Use contractions
ChatGPT under-uses contractions. "Do not" where a human would write "don't." "It is" where a human would write "it's." Go through and contract every appropriate instance. This is ten seconds of work with a disproportionate effect on how the text reads.
The exception: deeply formal contexts like legal or scientific writing, where uncontracted forms are the convention. If your genre keeps "do not," keep it. Don't force casualness onto text that isn't supposed to be casual.
Add specific details
ChatGPT generalizes. "Many companies have found that remote work improves productivity." You don't have that problem, because you know things the model doesn't. Replace every generalization with a specific example from your experience — a company name, a date, a number you remember, a situation you were in.
"Studies show that remote work improves focus" becomes "at my last job, we tracked the numbers for six months after going remote — focus time went up 22%, but meeting fatigue got noticeably worse." The specifics are what AI can't produce, and they're what human readers actually remember.
Let your voice in
ChatGPT is aggressively neutral. You're not. If you think something is dumb, say so. If something excites you, let that show. Use the words you actually use when explaining this topic to a colleague — not the words a language model thinks are appropriate.
Strong, specific opinions feel human because AI is trained to hedge. "There are various perspectives on this" is the statistical midpoint of safe speech. "Most of the arguments against this are weak" is what a person actually says. Pick the human version.
Break symmetry in structure
If your draft has three points of equal length, make them unequal. Expand the one you care about most; compress or cut the one you care about least. Humans write asymmetrically because some things are more interesting than others. AI writes symmetrically because it doesn't care which point is more interesting.
Add small imperfections
Not fake typos — that's cheap and obvious. But an aside in a parenthesis. A sentence that changes direction mid-thought. An em dash that breaks a clean structure. These are the fingerprints of a mind working through something in real time, and they're exactly what a language model can't produce naturally.
Iterate with a detector
After your first pass, run the text through RealText and watch the metrics. If burstiness is still low, you haven't varied sentences enough. If TTR is low, you're still using AI-safe vocabulary. If connectors are high, you didn't delete enough of them. The metrics point directly at the remaining work; use them to focus your second pass.
Two or three rounds of edit-analyze-edit will produce text that sounds genuinely like you — because by that point, it mostly is.
Edit with metric feedback at each round.
Try RealText Free →