AI Content Detector

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Analysis Model

Language

How Our AI Detection Works

Pattern Recognition

Identifies common patterns in AI-generated text such as repetitive structures and predictable phrasing.

Statistical Analysis

Analyzes word choice, sentence length, and other statistical markers to detect AI content.

Large Training Dataset

Trained on millions of human-written and AI-generated text samples for high accuracy.

Bias Detection

Identifies common AI biases such as over-politeness, neutrality, and lack of personal experience.

Analysis Results

Analysis results will appear here after scanning your content

85%

Likely Human-Written

Confidence: High

AI-Generated Human-Written

VERDICT

This content is likely human-written

Our analysis detected strong indicators of human authorship:

Personal experiences and unique perspectives
Varied sentence structure and length
Emotional language and subjective opinions
Minor imperfections and natural flow

Detailed Analysis

Human Writing Probability 85%

AI Writing Probability 15%

Perplexity Score 62.8

Burstiness Score 74.2

Text Highlights

This text shows strong indications of human authorship. The presence of personal anecdotes, emotional language, and minor imperfections suggests a human writer.

While there are some sections with slightly formulaic patterns, these are not significant enough to indicate AI generation. The overall structure and flow demonstrate human creativity and thought process.

AI Detection Tips

Check Longer Texts

AI detection is more accurate with content over 250 words

Review Technical Content

AI often excels at technical writing but struggles with personal narratives

Look for Patterns

Repetitive structures and overly formal language may indicate AI