Question 1

How does the AI text detector work?

Accepted Answer

Our detector uses a combination of two analysis methods: An advanced compression analysis (80% weight) that measures how well a text compresses with AI reference patterns, and an extended language analysis (20% weight) with over 15 different linguistic metrics. Additionally, the system analyzes specific patterns like em-dash usage, model-specific phrases, and typical AI words to not only detect whether a text is AI-generated, but also which model (ChatGPT, Claude, Gemini) was likely used.

Question 2

How does the detector recognize which AI model was used?

Accepted Answer

The detector analyzes model-specific patterns: ChatGPT frequently uses em-dashes (—), phrases like 'delve into', 'it's worth noting', and structured formatting. Claude shows minimal em-dash usage, neutral phrases like 'according to', 'based on', and a more natural tone. Gemini uses virtually no em-dashes, is very direct, and uses phrases like 'not only', 'but also'. Detection is based on analysis of over 40 model-specific phrases and patterns. Note: Model detection is an estimate and may be inaccurate for edited or mixed texts.

Question 3

How accurate is the detection?

Accepted Answer

Accuracy depends on various factors, including text length, the AI model used, and whether the text was edited. Longer texts (over 200 words) provide significantly more reliable results. The assessment should be understood as a strong indicator but cannot provide 100% certainty. Especially with heavily edited or mixed texts, the assessment can be more difficult.

Question 4

What types of text can the detector analyze?

Accepted Answer

The detector works optimally with flowing text of at least 50 words, ideally over 200 words. It successfully analyzes blog posts, scientific articles, essays, product descriptions, news articles, and other longer texts. Less suitable for: poetry, technical documentation, lists, tables, code comments, or very short texts under 50 words.

Question 5

What does the confidence score mean?

Accepted Answer

Confidence shows on a scale of 0-100% how certain the system is in its assessment. Over 80%: Very confident assessment, clear characteristics detected. 60-80%: Clear tendency, but with some uncertainties. Under 60%: Unclear assessment, the text shows mixed characteristics. The higher the confidence, the clearer the detected patterns.

Question 6

Is the result legally valid or suitable as evidence?

Accepted Answer

No, the results of this detector are NOT suitable as legal proof or for official verification. It is a technical analysis that provides indicators but cannot offer absolute certainty. For academic work, legal documents, or other official purposes, the tool should only serve as a first point of reference. A final assessment should always be made by humans or more sophisticated systems.

AI Text Detector

Frequently Asked Questions

8 More Research-Based Metrics (Stylometry & POS Analysis)

5 New Scientifically Validated Metrics

AI Model Detection & Extended Pattern Analysis

Initial Release