AI-generated text detector

Analyze the signals in a text to estimate whether it looks human-written or produced by artificial intelligence.

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The analysis result will appear here.

Analyze the signals in the text, not just a percentage

TonoHumano detector examines content to identify patterns consistent with human writing or AI-generated text. Beyond the overall result, it shows possible style issues and the parts of the text that may have influenced the analysis.

The result should be read as an estimate. A detector alone cannot prove who wrote a text or reconstruct with full certainty how it was created.

What the analysis shows

  • Estimated probability

    Indicates whether the text as a whole shows more signals associated with human writing or with AI-generated content.

  • Relevant fragments

    Highlights the parts that may have influenced the result most strongly.

  • Possible issues

    Flags repetition, uniformity, generic phrasing, or other patterns that make the writing feel artificial.

  • Possible model

    When there are enough signals, it shows which model or model family may be compatible with the analyzed style.

Model identification is approximate. From the final text alone it is not possible to confirm with certainty which specific system generated it.

How to interpret the result

  • Likely human

    The text shows structural variety, natural shifts in rhythm, and a mix of traits more common in human writing.

    This does not certify authorship; it only means the analysis did not find enough signals to classify it as AI-generated.

  • Uncertain or mixed result

    The content combines signals from both categories. It may be human text edited with AI, a generated draft that was later revised, or writing with an especially uniform style.

    Review the highlighted fragments before drawing conclusions.

  • Likely AI-generated

    The text contains several patterns consistent with content produced by a language model.

    This also does not prove that the entire document was generated automatically. Check which sections influenced the result and review the writing process.

Why might a text look AI-generated?

  • Overly uniform structures

    Many sentences follow a very similar length and construction.

  • Repeated formulas

    Generic expressions or similar transitions appear throughout the content.

  • Little rhythm variation

    Paragraphs keep the same level of complexity throughout.

  • Predictable explanations

    Ideas are presented through highly ordered patterns with few natural deviations.

  • Excessively neutral language

    The text avoids concrete examples, personal choices, or nuances tied to the context.

  • Generic conclusions

    The closing restates what came before without adding a specific reflection.

  • Short text

    When there is little content, the system has fewer signals and the result can be less stable.

How to use the detector

  1. 01

    Enter the text

    Paste a sufficiently complete passage. Several paragraphs provide more context than a single sentence.

  2. 02

    Start the analysis

    Review the overall classification, the highlighted fragments, and the explanations shown.

  3. 03

    Interpret the context

    Consider the length, the type of document, and the process used to write it.

  4. 04

    Improve the writing

    When the text feels rigid or generic, edit it yourself or send it to TonoHumano.

Don't stop at the percentage alone

If the analysis flags artificial fragments, review which issues appear in each one. You may need to vary the structure, remove repetition, add concrete examples, or express the ideas more clearly.

TonoHumano can generate a new version with a more natural tone. Afterwards you should read it, restore any important nuance, and add your own experience or perspective.

Humanize the analyzed text

Use cases

  • Review your own draft

    Spot parts that feel overly uniform before publishing or submitting the text.

  • Analyze received content

    Get additional insight into articles, proposals, messages, or documents.

  • Improve AI-assisted writing

    Identify generic sections that still need human editing.

  • Review academic content

    Use the analysis as a starting point, not as proof of academic misconduct.

  • Evaluate consistency

    Check whether one part of the document uses a style very different from the rest.

Authorship cannot be reduced to a single percentage

Writing can combine many forms of work: personal drafts, automatic correction, translation, accessibility tools, professional editing, or assistance from artificial intelligence.

For that reason, an automatic classification should be used with caution. When authorship matters, ask for drafts, sources, change history, or an explanation of the process followed.

Frequently asked questions

Can an AI detector be 100% accurate?

No. Detectors make an estimate based on patterns and can be wrong with both human texts and AI-generated content.

Why can human text appear as AI?

It can happen when the text is very short, uniform, formal, technical, or repetitive. Some writing styles also have less variation in vocabulary and structure.

Does text length affect the result?

Yes. A longer text provides more information to analyze. An isolated sentence offers very few signals and its classification is usually less stable.

Can it identify exactly which model created the text?

It can estimate which model or model family shows similar patterns, but it cannot confirm with certainty the exact tool used.

Can an edited text still appear as AI?

Yes. It depends on how much was changed, the type of edits, and the criteria used by each detector.

Can I use the result to sanction a student or employee?

It should not be used as the sole evidence. You should review the context, the work process, and other available evidence.

What should I do if my human text is classified as AI?

Review the highlighted fragments, keep your drafts and edit history, and explain the process used to write it. You can also improve repetitive or overly generic parts.

What does it mean for a text to be mixed?

It means it contains signals associated with both categories. It may have been written and edited through a combination of human work and automatic tools.

Understand what signals your text shows

Analyze the content, review the highlighted fragments, and decide which parts need a more personal edit.

Analyze text