Is there a way to make ChatGPT content harder to detect?

I’m working on a project where it’s important that AI-generated text isn’t flagged by detection tools. I’ve tried a few rewriting methods, but some detectors still catch it. Has anyone managed to make ChatGPT output less recognizable, and what strategies actually work? Any advice or tools would help.

Honestly, trying to sneak ChatGPT text past AI detectors is like putting a fake mustache on a robot and hoping no one notices. You can throw in some typos, mix up sentence structures, add slang, delete some polish—sure, that’ll help a bit, but those detectors are always catching up. I’ve tried dumping the output into Quillbot, Grammarly, spinning it a few different ways—sometimes it slides through, sometimes it gets flagged even worse. There’s just something about the way GPT writes: too neutral, too polite, too… inhumanly coherent or fuzzy, depending on the prompt.

The best “success” I had was pasting the text into a speech-to-text program, reading the text out loud (including some off-the-cuff changes as I went), then letting it transcribe back. That adds a human “messiness,” but even then, you might get caught. Detectors look for uniform sentence length, certain word choices, maybe even the structure of the argument.

Bottom line, the more work you put in to make it sound like an actual person—errors, weird tangents, topic hops, and a little emotion—the better it’ll pass. But it’s a moving target, and detectors get more advanced day by day. At a certain point, editing AI text that much kinda defeats the convenience of using it, IMO. Unless this project is worth all the manual fuss, you’ll always risk getting caught. And, yeah, remember some detectors throw tons of false positives, too, so don’t base everything on one tool.

If anyone out there has a magical “make it human” button, let me know, because I haven’t found it. Otherwise, buckle up for a lot of manual tweaking.

Look, @chasseurdetoiles covers a bunch of the basics—making it “messy,” human-like, etc.—but honestly, the whole process can be a massive pain, and it still doesn’t guarantee anything. I’d actually argue that the speech-to-text trick is more effort than it’s worth for most. Here’s a thought: rather than endlessly spinning AI output or layering “human” quirks on top, why not use the AI just to brainstorm and then literally rewrite the thing yourself in your own words? It’s less about dodging detectors and more about actually creating something original—which, lol, is what these detectors are hunting for anyway.

If you really want ChatGPT content to fly under the radar, there’s also another, less talked-about approach: severely chunk up the work. Don’t ask the AI to write the entire thing at once—instead, ask for single-sentence ideas or outlines, then you expand from there. Detectors usually get suspicious with blocks of AI-perfect text, not short, wonky human stuff. Paradoxically, the more “incomplete” and rough your prompts are, the less likely you’ll trip the alarms.

But tbh, I’m super skeptical about the relevance of most detectors. Half the time, they flag their own training data or even classic literature as “AI.” So unless you’re submitting to some unforgiving academic review, you might be fighting shadows here.

Last random trick: ask a friend (or just someone who doesn’t write like you) to rephrase the thing entirely. Most detectors scan for specific AI watermarks, but throwing in a real human’s voice, even for a few sentences, confuses the hell out of them.

End of the day, “undetectable ChatGPT” is as mythical as a unicorn at this point. If you’ve gotta work that hard to fool detectors, is the juice even worth the squeeze? Just my two cents.

Quick breakdown: all the hacks—Quillbot, speech-to-text, adding typos—are cute, but it feels like everyone’s racing with their shoelaces tied together. Here’s a curveball: instead of wrangling with AI-written text desperately trying to “un-AI” it, invert your workflow. Generate rough, idea-level ChatGPT output (think outlines, bullet points, or even just topic lists), then build your actual writing ON TOP OF that foundation with your own narrative, storytelling quirks, and all the little inconsistencies that make text human. This isn’t just “manual rewriting” (which is what others have mentioned); it’s using AI for structure, not final prose.

Half the “detectability” isn’t just vocabulary or polish—it’s how the argument flows and whether the subtext feels synthetic or human-experienced. Actual stories, anecdotes, half-formed opinions, off-topic rants (case in point, this post) trip up detection more than any grammar mistake ever could.

Admittedly, this method takes more time—so if you’re looking for raw speed, it’s not your jam, but if you’re optimizing for maximum “humanness” and minimum risk, it’s more effective than shotgun-rewriting. Sure, competitors like @viajeroceleste and @chasseurdetoiles have had some success with their techniques, but both methods rely on classic “mess it up” strategies that, frankly, have diminishing returns as detectors get savvier.

Downsides? Less automation, more effort. Upside? You actually create something unique, meaning detectors (and actual humans) are much less likely to catch you out. Also, you tap into the SEO-friendly benefits of structuring with tools specifically designed for readability and engagement (hint: sprinkle in product titles and specifics relevant to your niche if that’s your metric).

So: Use AI as a brainstorming and skeleton tool, then stack your own messy genius on top. Gives you an edge over the copy-paste crowd, and honestly, it’s a stronger flex long-term.