AI Tools

AI Content Detector

AI content detector that estimates AI-likelihood from sentence variation, vocabulary diversity, word repetition, transitions, passive voice, paragraph structure, complexity, and punctuation—with confidence and clear limits. Free, fast, and built for a clean browser workflow.

Private by design: scoring runs in your browser and is not uploaded to ShishwaLab servers. This is an estimate—not proof of AI authorship.

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Paste text to estimate AI-like writing patterns.

AI likelihood

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Heuristic estimate of how strongly the draft resembles common AI writing patterns—not a definitive label.

Confidence

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Confidence rises with longer samples and consistent indicators. Low confidence means treat the percentage cautiously.

Human-like score

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Inverse of AI likelihood for quick scanning. Higher means more variation, specificity, and voice-like traits.

Overall reading

Waiting for text

This AI content detector combines eight writing indicators—not a single opaque percentage—so you can revise with context. It never claims scientific certainty or proof of authorship.

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Sentences0
Paragraphs0
Unique words0
Suspicious lines0
AI phrases0

Writing indicators

Each indicator contributes to the AI-likelihood estimate. None of them prove authorship on their own.

Sentence-length variation

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Not analyzed

Measures how much sentence length and rhythm vary (burstiness). Human writing often mixes short reactions with longer explanations.

Vocabulary diversity

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Not analyzed

Type-token ratio of unique words to total words. Very low diversity can look templated; domain jargon can also lower this naturally.

Word repetition

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Not analyzed

Flags content words that repeat unusually often. Mild repetition is normal; heavy loops of the same nouns/verbs can feel machine-smoothed.

Transition / generic phrases

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No matches yet

Counts stock AI transitions and template openers. One match is weak evidence; clusters matter more.

    Passive-voice indicators

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    Not analyzed

    Looks for be-verb + past-participle patterns. Extra passives are not “wrong,” but dense passives with stock phrases often read more formulaic.

    Paragraph structure

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    Not analyzed

    Checks paragraph count and how evenly sentences are distributed. Many AI drafts use similarly sized mid-length blocks.

    Sentence complexity

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    Not analyzed

    Average words per sentence, syllable load, and how uniform those choices stay. Overly consistent medium-length sentences are a common AI habit.

    Punctuation patterns

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    Not analyzed

    Looks at commas, questions, exclamations, semicolons, and dashes. Extremely even, “safe” punctuation with few questions or asides can look smoothed.

    Highlighted suspicious sentences

    Marked lines look formulaic, evenly paced, or packed with AI-like phrasing. Use the color legend, then rewrite those sentences with concrete detail and a clearer personal voice.

    High suspicion Medium Mild

    Your analyzed text will appear here with suspicious sentences highlighted.

    How to read these signals

    Start with estimate + confidence. AI likelihood is a heuristic estimate. Confidence tells you how much weight to give it. Short text keeps confidence low on purpose.

    Then inspect the eight indicators. Variation, vocabulary, repetition, phrases, passives, paragraphs, complexity, and punctuation explain why the estimate moved.

    Revise the highlights. Replace generic transitions, break repetitive sentence lengths, and add specifics only a human would know. Re-run after each pass.

    Know the limits. Formal reports, non-native writing, and short blurbs can look “AI-like” without being generated. This is not courtroom evidence and never claims 100% accuracy.

    About this tool

    The ShishwaLab AI Content Detector (also useful as an AI text detector or ChatGPT writing checker) estimates how closely a draft resembles common AI writing habits. It does not claim certainty, 100% accuracy, scientific proof, or definitive authorship.

    The analyzer reviews sentence-length variation, word repetition, vocabulary diversity, transition and generic-phrase frequency, passive-voice indicators, paragraph structure, sentence complexity, and punctuation patterns. You get an AI-likelihood estimate, a confidence level, supporting indicators, statistics, and plain-language explanations.

    Everything runs locally in your browser. Your text is processed on your device and is not uploaded to ShishwaLab servers for detection. Pair it with AI Prompt Studio to rewrite prompts, AI Text Humanizer for naturalness, or AI Paraphraser to reword sentences.

    Tips for better results

    • Paste at least ~50 words; under that length the tool warns you and keeps confidence low.
    • Read confidence before reacting to the percentage—short or highly technical samples are noisier.
    • Use indicators and highlighted sentences as a revision checklist, never as proof of cheating.
    • Clusters of stock AI phrases and flat sentence rhythm matter more than any single signal.

    How to use

    1. 1 Paste an essay, blog draft, email, or article (aim for 50+ words; longer samples are more stable).
    2. 2 Review the AI-likelihood estimate, confidence, and each writing indicator with its explanation.
    3. 3 Use highlighted sentences and the indicator list as a revision checklist—not as proof of authorship.

    Signal guide

    What this AI detector actually measures

    These explanations map every indicator to a concrete writing choice. Use them while you revise—never as proof that a person did or did not use ChatGPT or another assistant.

    Sentence-length variation

    People naturally write in bursts: a short claim, then a longer explanation, then a clipped aside. Many AI drafts keep a smoother wave. If variation is low, break a few long sentences and let some lines stay punchy.

    Vocabulary diversity & word repetition

    Low unique-word ratio or looping content words can feel templated. Technical writing also repeats terms on purpose—read these indicators with the topic in mind, not as automatic guilt signals.

    Transitions, passives & punctuation

    Stock transitions, dense passive constructions, and overly “safe” punctuation (few questions, asides, or dashes) often stack in machine-smoothed drafts. One cue is weak; clusters are more useful for editing.

    Paragraphs, complexity & confidence

    Even paragraph blocks and uniform medium complexity are common AI habits. Confidence rises with longer samples and aligned signals. Short text triggers a warning and keeps confidence intentionally low.

    FAQ

    Is this a definitive AI detector?

    No. It is a heuristic writing-pattern analyzer. It estimates how closely text resembles common AI drafting habits. It cannot prove authorship, claim scientific certainty, or guarantee 100% accuracy. Short samples, technical docs, translated text, and heavily edited AI text can all look ambiguous.

    What does confidence mean?

    Confidence reflects how much text you provided and how consistent the signals are—not certainty of authorship. Longer samples (200+ words) usually raise confidence; very short text keeps it low on purpose.

    Which patterns does the AI writing checker analyze?

    Sentence-length variation, word repetition, vocabulary diversity, transition/generic phrase frequency, passive-voice indicators, paragraph structure, sentence complexity, and punctuation patterns. Each indicator includes a short explanation.

    Is my text uploaded or stored?

    No. Analysis runs entirely in your browser. Your draft is not sent to ShishwaLab servers for scoring.

    How should I use the AI-likelihood estimate?

    Treat it as an editorial lens. A higher estimate means more formulaic patterns showed up. Lower the score by varying sentence length, cutting stock transitions, adding concrete detail, and rewriting highlighted sentences in your own voice.