Find out if your text sounds like AI

Paste your text and see how strong its AI fingerprint is: a percentage, a breakdown by seven signals and highlighted template phrases. Leave a short review and we will rewrite the text so no AI fingerprint is left.

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Paste the text you want to check

An article, a post, an email, a product description. You need at least 80 words, ideally 150 or more: the longer the text, the more reliable the score. Works for English, German, French, Italian and Russian.

Words: 0 · characters: 0 of 20,000Minimum 80 words
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The check runs on your device. Your text is not sent anywhere and is not stored. It only reaches our server if you ask us to rewrite it.

Result in about a second

What the score is made of

Where the fingerprint shows

template phrasecliché construction or transition

    We will rewrite it without the AI fingerprint

    Free, in exchange for a short review of the tool. We remove template phrases, give the text a natural human rhythm and keep the meaning, facts and numbers.

    Rate the tool
    Result style

    Is your brand visible in AI answers?

    Check whether ChatGPT, Gemini and Perplexity mention your company when people ask about your niche, and what to fix if they don't.

    Check AI visibility →

    AI in your content, without the templates

    We set up text generation around your brand voice: your own prompts, a knowledge base and an editorial check. Content that doesn't read like a chatbot.

    How we detect an AI fingerprint in text

    Language models write smoothly and predictably: an even rhythm, the same transitions, favourite phrases. We check your text against seven statistical signals and combine them into one percentage, with an explanation for each.

    Sentence rhythmPeople write unevenly: a short sentence, then a long one. A model's sentences are nearly the same length.
    Template phrases“Delve into”, “plays a crucial role”, “in today's fast-paced world”: over 200 markers in five languages.
    Cliché constructions“It's not just X, it's Y”, “not only… but also…”, lists of exactly three items.
    Opening transitions“Moreover”, “Furthermore”, “Additionally” at the start of every other sentence.
    Even paragraphs and markupParagraphs of the same size, bold subheadings, emoji bullet lists: traces of a chatbot answer.
    Human signalsFirst-person voice, casual words, emotion. They lower the final percentage.
    How accurate is the check

    It is a statistical estimate, not proof of authorship. Typical unedited texts from ChatGPT, Gemini or Claude score high; personal notes and casual messages score low. But a formal human text (a press release, a manual) can land in the middle, and a well-edited AI text can score low.

    That is why we always show what the number is made of and highlight the exact phrases. Do not use the result as the only basis for decisions about people, such as grading student work, hiring or sanctions.

    What the AI fingerprint percentage means

    0–20%: the text reads as human. 21–45%: mixed signals, typical of both formal human writing and edited AI output. 46–70%: the fingerprint is noticeable and readers will probably sense it. Above 70%: a typical unedited AI text.

    Do you store my text

    The check runs in your browser, so your text never leaves your device. It is only sent to our server when you click “Rewrite”. The text is passed to the model for rewriting and is not stored after the reply. Your review is stored separately from the text.

    Why do you ask for a review

    Rewriting is done by a language model, and every run costs us money. Instead of payment we ask for a couple of lines about what works in the tool and what could be better. You only leave a review once; after that you can rewrite without one.

    Will the rewritten text pass other AI detectors

    We rewrite the text so it reads like a person wrote it: we remove clichés, break the even rhythm and bring back specifics. The rewritten text is then checked by our own detector and you see the new percentage. We cannot guarantee the result of other services, as each one uses its own signals.

    Which languages are supported

    English, German, French, Italian and Russian. The language is detected automatically. For other languages only the general signals work (rhythm, paragraphs, markup), so the estimate is rougher.