AI Writing Pattern Detector
Paste text to analyze sentence uniformity, word variety, and predictability — signals that often differ between human and AI writing. Results are heuristic estimates, not definitive proof of AI authorship.
Analysis Result
Estimated AI Probability
0%
Sentence Uniformity
0%
Higher = more uniform
Word Variety
0%
Unique / total words
Predictability
0%
Lower = more predictable
Key Features
Detect AI-generated text with confidence scores
Sentence uniformity and word variety analysis
Perplexity-based heuristic scoring
Client-side — your text stays private
Produces a usable first draft you can edit rather than a locked result
Your input is not retained or used for training
Frequently Asked Questions
Why would I need to detect AI-generated content?
There are several reasons to detect AI-generated content: (1) Academic institutions may want to ensure students are submitting original work, (2) Publishers need to verify content authenticity, (3) Businesses might want to check if competitors are using AI-generated content, (4) Content creators may want to ensure their work maintains a human touch.
Is there a word limit for the free version?
Yes, the free version allows you to analyze up to 1000 words at a time. For larger texts, you can process them in batches or consider upgrading to our premium version.
What if my content is flagged as AI-generated but it's not?
False positives can occasionally occur, especially with technical or academic writing that may share characteristics with AI-generated text. If your human-written content is flagged as AI-generated, you might consider: (1) Using more personal anecdotes or unique expressions, (2) Varying your sentence structure more, (3) Using our AI Humanizer tool to make your content appear more naturally human-written.
How much should I trust the output?
Read it as a first draft or a second opinion. Automated analysis is confident even when it is wrong, so anything that matters deserves a human check before you act on it.
Is my text used to train a model?
No. What you submit is used to produce your result and is not retained afterwards for training.
Why do repeat runs differ slightly?
These models are not deterministic, so the same input can produce differently worded output. The substance should stay consistent even when the phrasing shifts.
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