AI

Free AI Text Detector

Our AI text detection tool helps you find out whether content was written by a human or generated by AI. It uses advanced language analysis, machine learning, and semantic modeling to give accurate results. The best part? It's completely free to use—no sign-up needed!

Analyze Your Text

Paste your text below and click "Analyze Text" to check if it was generated by AI.

Key Points:
  • Perplexity & Burstiness: AI-written text often has low perplexity and a steady rhythm, making it more predictable than human writing.
  • Stylometric Analysis: Patterns like sentence length, word choice, and punctuation use help reveal whether a piece was written by a person or generated by AI.
  • Structure & Coherence: AI-generated content can sound smooth but may lack the natural flow found in human writing.
  • Embedding & Curvature Techniques: Tools like BERT and DetectGPT use deep language models to check for consistency in meaning.

This tool explores different ways to spot text written by AI. These methods include using statistics, studying language patterns, and applying advanced machine learning tools.

How It Works

Perplexity and Burstiness

Perplexity is a measure used in language models to show how predictable a piece of text is. Simply put, it tells us how "surprised" a model is by the words.

Burstiness refers to how much perplexity changes from one sentence to the next. Human writing tends to mix things up — sometimes it's complex, sometimes simple.

Stylometric Analysis

Stylometry is the study of writing style. It helps identify who wrote a text by analyzing their unique way of writing.

Advanced Detection Methods

Modern detection methods use transformer embeddings from models like BERT. These models turn text into high-dimensional vectors that capture meaning and structure.

Challenges and Limitations

  • False Positives: Some human-written content is wrongly flagged as AI.
  • Bias Against Non-Native Writers: AI detectors can unfairly target writing by non-native speakers.
  • Evading Detection: Simple changes can fool many detection systems.
  • Short Text Issues: Detecting AI in short texts is much harder.

Important Note: AI detection results should be used as a clue—not as final proof.