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.
Writing indicators
Each indicator contributes to the AI-likelihood estimate. None of them prove authorship on their own.
Sentence-length variation
-Not analyzed
Measures how much sentence length and rhythm vary (burstiness). Human writing often mixes short reactions with longer explanations.
Vocabulary diversity
-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
-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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Counts stock AI transitions and template openers. One match is weak evidence; clusters matter more.
Passive-voice indicators
-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
-Not analyzed
Checks paragraph count and how evenly sentences are distributed. Many AI drafts use similarly sized mid-length blocks.
Sentence complexity
-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
-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.
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.
Use with related AI writing tools: