PaperBleach vs StealthWriter: Feature and Pricing Breakdown

If you’ve shopped around for an AI humanizer, PaperBleach and StealthWriter have probably both landed in your tabs. They promise something similar: paste in AI-generated text, get back something that reads more like a person wrote it. The way each tool gets there, and what each one costs, is where they actually split.

This is a straight comparison. No “guaranteed to beat the detector” claims, because nobody can make that promise honestly. Just what each tool does, how the pricing shakes out, and how to pick.

Key takeaways

• Both tools rewrite AI-generated text to sound more natural, but they take different routes. PaperBleach scores your text first and rewrites only the flagged sentences; StealthWriter leans on a mode-based full rewrite.
• No humanizer can promise to beat a specific detector. Detectors change, and they output probabilities, not proof.
• PaperBleach pairs every rewrite with a built-in AI-detection checker and a sentence-level heatmap, so you see what still reads as machine-made before you submit.
• StealthWriter offers multiple rewrite modes and credit- or word-based monthly tiers aimed at recurring volume.
• On pricing, read the units. Words per month, credits, and re-runs add up differently depending on whether you edit a few high-stakes pieces or churn many short ones.

What both tools are trying to do

Strip off the branding and both products solve the same problem. Language models write in a recognizable way: even sentence rhythm, safe word choices, a kind of polished flatness. AI detectors learn to spot exactly those patterns. A humanizer rewrites text so it carries the natural variation real writing has.

That’s the whole job. The rest is execution, and execution is where these two diverge.

Worth saying once, clearly: a detector score is a probability, not a verdict. OpenAI even pulled its own AI classifier in July 2023 because it wasn’t accurate enough. So when you compare humanizers, the useful question isn’t “which one beats the detector.” It’s “which one helps me produce writing that genuinely reads like mine?”

PaperBleach: detect first, rewrite only what’s flagged

PaperBleach is built around a loop. You paste your text, it runs an AI-detection check, and it shows you a heatmap, sentence by sentence, of what reads as machine-generated. Then it rewrites the hot spots, only the hot spots, and leaves the parts that already sound human alone.

That last bit is the whole design philosophy. Instead of blending your entire document into a new texture, PaperBleach treats your already-decent sentences as worth keeping. If three sentences in a paragraph look fine and one screams AI, only the fourth gets touched.

Because the detector is built in, you’re not guessing. You rewrite, rescore, and watch the heatmap cool down. If a passage is still hot after a pass, you can see it and run another. For the deeper background on what those scores actually measure, PaperBleach has a full explainer on the statistics behind how detectors score text.

The tradeoff is that this is a hands-on tool. You’re meant to look at the output, reread it, and make calls. For people who care about keeping their meaning and voice, that’s the point. For someone who wants to dump 40 product blurbs and walk away, it’s more steps than they may want.

StealthWriter: pick a mode, rewrite the whole thing

StealthWriter takes the mode-based route. You paste text, choose a rewrite mode, and run it. The modes are usually framed by how aggressive the rewrite is, and sometimes the platform offers more than one underlying model so you can re-run a stubborn passage through a different one.

It rewrites the full piece in one go and hands you a finished version. That’s a clean workflow if you’re moving volume and don’t want to babysit every sentence. Run it, skim it, ship it. If the output still feels off, you switch modes and run again, which is where the credit math starts to matter (more on that below).

StealthWriter may show detection-style feedback, but the experience is centered on the rewrite and the mode picker, not on a granular map of what changed and why. You get a result and you trust the result. That’s fine for a lot of work and frustrating for the kind of work where you want to see under the hood.

A side-by-side, plainly

	PaperBleach	StealthWriter
Core approach	Detect first, rewrite only flagged sentences	Mode-based full-document rewrite
Detection feedback	Built-in checker + token/sentence heatmap	Centered on rewrite; less granular
Control	High, sentence-level	Mode-level, whole-document
Re-runs	Targeted; rescore and rewrite hot spots	Switch modes/models and run again
Best fit	Students, writers who want their voice kept	Volume writers who want a fast full pass

No tool in this table can promise to beat a named detector, and you should walk away from any that does. Detectors update. The goal is writing that reads naturally on its own merits.

Pricing: read the units, not the sticker

Here’s where comparisons get muddy, because the two tools don’t price the same thing.

StealthWriter generally sells monthly tiers measured in words or credits. That model rewards steady, predictable volume: if you know you’ll humanize, say, tens of thousands of words a month, a word allowance is easy to budget. The catch is re-runs. Every time you switch modes on a passage that didn’t land, you’re spending more of that allowance. If your content tends to need two or three passes, your real cost per finished piece is higher than the per-word rate suggests.

PaperBleach’s practical cost question is different. Because the flow is detect, rewrite the flagged sentences, rescore, the variable isn’t raw word count so much as how many passes a high-stakes piece needs to cool down. A single important essay might take a few targeted rounds; a clean draft might take one.

So the honest way to compare is to estimate against how you actually work:

• A few high-stakes pieces. A grad student polishing three essays a term cares about getting each one right, not about a 50,000-word ceiling. Targeted, see-what-you-fix editing usually wins here.
• Lots of short pieces. A content team pushing dozens of product descriptions a week cares about throughput and a flat monthly number they can forecast.

Pricing pages change, so check the current numbers before you commit. You can compare PaperBleach plans to see exactly what each tier includes.

A quick scenario

Say Daniel runs content for a small SaaS company and also writes the occasional founder essay for the blog.

For the product descriptions, the mode-based full rewrite fits. He pastes a batch, picks a mode, and gets finished copy back fast. If one reads stiff, he re-runs it. The word allowance is the thing to watch, and his volume is predictable enough to budget.

For the founder essay, though, voice is everything, and one section keeps tripping his client’s detector. With PaperBleach he runs the check, sees a heatmap, and finds that only two paragraphs are bright. He rewrites those, drops in a specific number from the company’s own data, rescores, and the section cools off. The rest of the essay, the part that already sounded like the founder, stays untouched.

Same writer, two different jobs, two different tools that fit. That’s usually how this shakes out in practice.

What neither tool can do

Let’s be blunt about the limits, because the honest version helps you more than the hype.

No humanizer guarantees you’ll pass a specific detector. Detectors are moving targets and they make mistakes in both directions. A 2023 study led by Weixin Liang and colleagues at Stanford, published in the journal *Patterns*, found GPT detectors disproportionately flagged writing by non-native English speakers as AI-generated. So a low score isn’t a clean bill of health, and a high score on human writing isn’t proof of anything.

A humanizer also can’t fix weak content. If a paragraph says nothing specific, rewording it just produces fluent emptiness. The most reliable way to sound human is to add real detail, an example, a number, a lived observation, that no model would have generated for you.

And neither tool decides your ethics. Editing AI-assisted text into your own voice is normal editing. Passing off work as your own in a setting that forbids AI is a different thing. Know the rules you’re working under.

How to choose

Try both on the same paragraph. A marketing page won’t settle this, but two minutes with your own text will.

Reach for PaperBleach when you want to see what’s flagged, keep your meaning, and edit with control, especially for essays, reports, or anything reputation-sensitive. Reach for StealthWriter when you’re moving steady volume and want a fast, mode-based full pass you can budget by the month. There are more breakdowns like this one on the blog if you’re weighing other tools too.

Frequently asked questions

Is PaperBleach or StealthWriter better at avoiding detection?

Neither can honestly promise to beat a given detector, and you should be wary of any tool that claims it can. Detectors update their models and output probabilities, not proof. The real difference is feedback: PaperBleach shows you a detection score and a sentence-level heatmap after each pass, so you can see exactly what still reads as machine-made and fix only that. StealthWriter rewrites in modes and gives you a reworked version to trust. Seeing the result usually beats a claim about any single detector.

How does StealthWriter pricing compare to PaperBleach?

Compare the units, not just the headline number. StealthWriter typically sells monthly word allowances or credits, which suits steady, recurring volume. PaperBleach is built around a detect-and-rewrite loop, so the practical cost question is how many passes a high-stakes piece needs rather than raw word count. Check the current pricing page for each, and estimate against how you actually work: a few careful edits versus many quick rewrites.

Does StealthWriter have a built-in AI detector like PaperBleach?

StealthWriter centers on the rewrite and its mode selection, and it may show detection-style feedback, but PaperBleach is built around the detect-then-rewrite loop: score, highlight the hottest sentences, rewrite only those, rescore. If seeing exactly which tokens look AI-generated matters to you, that token-level transparency is the bigger differentiator.

Will either tool keep my original meaning?

Both aim to, but aggressive full-document rewriting can drift, especially on technical or cited material. PaperBleach rewrites only flagged sentences and leaves the rest alone, which tends to preserve more meaning. Either way, reread the output and fact-check anything specific, because a humanizer changes wording, not truth.

Is using an AI humanizer cheating?

Editing AI-assisted text so it reads in your own voice isn’t inherently dishonest, like using a grammar checker. It becomes a problem when you misrepresent authorship somewhere that forbids AI use. Know the rules you’re working under, and treat a humanizer as an editing aid.

The bottom line

PaperBleach and StealthWriter aim at the same finish line from different directions. One scores your text and rewrites with a scalpel; the other hands you a fast, mode-based full pass you can budget by the month. Neither will promise to beat a detector, and the honest tool is the one that doesn’t.

If transparency and keeping your own voice matter to you, try PaperBleach on a paragraph you’ve actually written and watch the heatmap tell you the truth.