
"When I write with AI, the quality is great... but when I submit it, I keep getting rejected."
I was conducting research on LLMs and text-generation models at my university. At some point, I kept hearing the same concern from people around me.


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Most LLMs leave hidden watermarks you can't see but recruiters' AI scanners definitely can!

"When I write with AI, the quality is great... but when I submit it, I keep getting rejected."
I was conducting research on LLMs and text-generation models at my university. At some point, I kept hearing the same concern from people around me.

"LLM watermarks and unique token patterns remained inside resumes, and AI detectors were catching them instantly."
As a researcher, I tested it myself. Opportunities were disappearing for reasons that had nothing to do with the applicant's actual ability.

"Most AI detectors analyze structural patterns in the Text patterns completely invisible to the human eye."
That's when I realized something we had only discussed inside the lab.

"We built a system that integrates watermark removal, Token-pattern reconstruction all in one process."
Together with big-tech NLP engineers and academic researchers, we built a 'GPT scanner' system.
Remove those watermarks first, and make sure you don't get screened out before a human even reads your application.

GPT scanner helps countless applicants
submit their documents without worrying about AI detection.
Instantly scan your text and reveal hidden AI traces with 99% accuracy.
This isn't a rumor. Token-pattern detection is validated by journals like Nature and other major publications.

Proven quality, verified stability, and performance that speaks for itself. Join thousands of professionals who rely on a tool recognized for excellence.
With contributors from top conferences like NeurIPS, ACL, EMNLP, and engineers who have deployed models used by millions, we've built a detection engine grounded in real-world, peer-reviewed science.

Behind this tool are active university professors, NeurIPS·ACL·EMNLP researchers, and former Big Tech NLP engineers — the people who actually design and audit LLMs.
From academic labs to industry-scale AI pipelines, our team brings deep experience in token pattern analysis, watermark research, and LLM evaluation methods.



Covers all major detection ranges with a single click. This step alone passes the first filter of most AI detectors.
Checks for potential issues right before submission, bringing your document close to '0% detection'.
Real-Time Risk Score Dashboard.
Make submission decisions based on data, not guesswork.
Highlights weak points for each AI detector
Our model learns your unique writing tone and phrasing style, so every sentence sounds authentically yours — not AI's.
Clean, human-quality rewriting that eliminates watermarks and robotic traces.