How a writing check works
A detector examines patterns in a passage and returns a likelihood signal. That signal needs context, careful reading, and human judgment.
Perplexity
One measure of predictability
Perplexity describes how predictable a passage is to a language model. It can help identify regularity in wording, but topic, language, editing, and a writer’s style also affect it. It cannot identify an author on its own.
"The cat sat on the mat and looked at the door."
"The old tabby sprawled across the welcome mat, one eye suspiciously tracking the mailman."
Burstiness
One measure of variation
Burstiness describes variation in sentence structure and length. It can contribute to a pattern analysis, but it also changes with genre, editing, translation, accessibility needs, and an individual writer’s habits.
Uniform sentence lengths
Varied sentence lengths
A careful review process
From permitted text to a considered next step.
Input Text
Submit only text you are allowed to share.
Tokenization
The system divides the text into units it can analyze.
Pattern analysis
The service evaluates multiple writing features and returns a signal.
Read and decide
Read the result with context before deciding what to do next.
Edit for clarity and your own voice
An editing tool can help you revise a draft, but it cannot certify authorship, preserve every nuance, or make a passage safe to publish without review. Check every revision against the intended meaning, voice, facts, and sources.
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Suggests a clearer way to phrase a sentence
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Helps you vary rhythm when that suits the reader and the subject
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Leaves you responsible for meaning, evidence, and final approval
"The implementation of machine learning algorithms enables unprecedented levels of efficiency."
"Using smart machine learning, we've been able to work way faster than before."
Ready to review a passage?
Run a check, read the result in context, and keep the final decision with a person.
Open the detector