The most accurate AI detector in the world
The most accurate AI detector in the world
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The most accurate AI detector in the world
If you're unsure whether a draft looks "too AI-like", start by running it through an AI content detector for writers such as It's AI. Paste the full article, run a scan and look at:
From there you can rewrite or expand only the flagged sections, adding personal details, original examples and your own analysis. The goal isn't to hide AI use, but to make sure the final article genuinely reflects your thinking and meets your client's or platform's rules.
Detection tools can tell you which parts look like AI output, but only you know what fits your style. A good workflow is:
Used this way, an AI detector becomes a quality-control step that pushes you towards stronger, more personal writing instead of flattening your style.
Many clients now ask for proof that commissioned content wasn't simply generated by a chatbot. You can give them that confidence by combining three elements:
With It's AI you can run one scan, then download a PDF certificate that includes AI and plagiarism scores. Sending this together with your invoice or draft shows that you take originality and authenticity seriously.
If a client or platform questions your work, stay transparent:
Most disputes can be resolved once both sides see clear evidence that you wrote the text yourself and used tools responsibly.
Yes. Any statistical system can make mistakes, including advanced detectors. False positives — human text flagged as AI-generated — are possible, especially when the writing is very polished, formulaic or similar to typical model output.
That's why tools like It's AI are trained and evaluated on multiple benchmarks and tuned for a low false-positive rate. Even so, results should always be interpreted as signals, not absolute truth. When your livelihood depends on a decision, treat detector output as something to discuss with clients or editors, not as a final verdict.
AI detectors can work reasonably well for creative writing, but with caveats. Models have become very good at generating stories, so the statistical difference between AI and a skilled human author is smaller than in straightforward blog posts.
Detectors are most helpful when:
They are less reliable on heavily edited drafts, collaborative writing or texts that deliberately mimic AI style. If you write fiction, treat the AI detector for writers as an extra lens — not as the only judge of whether something is "allowed" to be published.
The safest approach is to lean into what AI is bad at:
Using an AI content detector for writers after edits will show you whether the text now reads closer to natural human writing while still staying clear and professional.
Accuracy depends on the detector, the domain and how much editing went into a draft. Good tools publish benchmark results so you can see how they perform.
It's AI is evaluated on datasets such as MGTD, RAID, GRiD, HC3 and GhostBuster. These benchmarks include long-form writing, student essays, Q&A content and edited AI outputs. In real-world use that translates into:
Even so, there will always be edge cases. For important pieces (contracts, major campaigns, book chapters) combine detector output with human review.
Think of AI as a collaborator, not a ghostwriter:
Then bring everything back into your own voice. Write the main argument yourself, add your unique expertise and stories, and make final edits without relying on prompts. A quick pass through an AI detector for writers and a plagiarism checker at the end helps you confirm that you stayed on the right side of originality.
Generic AI checkers are built for everyone, from students to compliance teams, and often don't match how writers actually work. It's AI is shaped around professional content creation:
Together these features turn It's AI from a one-off checker into a writing partner that protects your reputation and keeps your content pipeline trustworthy.