AI Content Detector
NewAnalyze text for signs of AI-generated writing. Checks sentence variation, vocabulary patterns, and linguistic structure.
Paste your text and click Analyze to get a breakdown of human vs AI writing signals.
Intended for educators, editors, and content reviewers to verify text authenticity. This tool should not be used to circumvent AI detection systems or to pass off AI-generated content as human-written.
About AI Content Detection
AI content detectors work by identifying statistical patterns that distinguish machine-generated text from human writing. Large language models like ChatGPT, Claude, and Gemini produce text by predicting the most probable next token in a sequence. This prediction process creates measurable regularities — uniform sentence lengths, predictable vocabulary choices, and formulaic transitions — that differ from the natural variability of human writing.
Heuristic vs. Machine Learning Detection
There are two main approaches to AI detection. ML-based detectors train neural networks on large datasets of human and AI text to classify new samples. Heuristic-based detectors, like this tool, measure specific linguistic features without a trained model. DevDash's detector analyzes ten signals: sentence length variance (burstiness), vocabulary diversity, sentence uniformity, repetitive sentence starters, average sentence length, transition word density, AI-associated vocabulary, contraction rate, punctuation variety, and paragraph consistency. Each signal is weighted and combined into an overall confidence score.
Understanding Confidence Scores
The confidence score represents how many AI-associated patterns appear in the text, not a definitive classification. A score of 70% means the text exhibits many patterns common to AI writing — it does not mean there is a 70% probability the text was AI-generated. Formal human writing (academic papers, legal documents, technical manuals) often scores higher because it shares characteristics with AI output: consistent structure, formal vocabulary, and few contractions. Conversely, heavily edited AI text can score low.
Limitations and Privacy
No AI detector is 100% accurate. Heuristic approaches are transparent and fast but less precise than ML-based services like GPTZero or Originality.ai. Detection becomes harder as AI models improve and as users edit AI output. Short texts (under 200 words) provide fewer signals and produce less reliable results. This tool works best with English prose of 300 words or more.
Privacy is a core design principle. DevDash's AI detector processes everything client-side in your browser using JavaScript. Your text is never transmitted to any server, stored in any database, or logged in any analytics system. You can verify this by inspecting network requests in your browser's developer tools while using the tool.
Frequently Asked Questions
How does AI content detection work?
AI detectors analyze statistical patterns in text that distinguish machine-generated writing from human writing. They measure features like sentence length variation, vocabulary diversity, contraction usage, and transition word density. This tool uses heuristic analysis rather than a trained ML model, checking ten linguistic signals and combining them into a confidence score.
How accurate are AI content detectors?
No AI detector is 100% accurate. Formal human writing like academic papers can score high because it shares characteristics with AI output. Heavily edited AI text can score low. Detection becomes harder as AI models improve. Use results as a directional signal, not a definitive judgment, especially for texts under 300 words.
Can this tool detect ChatGPT-generated text?
This tool detects patterns common to all large language models, including ChatGPT, Claude, and Gemini. It flags telltale signs like overuse of words such as "delve" and "crucial," low contraction rates, uniform sentence lengths, and formulaic transitions. It works best with English prose of 300 words or more.
Is my text private when using this detector?
Yes. This tool processes everything client-side in your browser using JavaScript. Your text is never transmitted to any server, stored in any database, or logged in any analytics system. You can verify this by inspecting network requests in your browser's developer tools while using the tool.
What do the confidence scores mean?
The confidence score shows how many AI-associated patterns appear in the text, not the probability it was AI-generated. A score of 70% means the text exhibits many patterns common to AI writing. Formal human writing often scores higher than casual human writing because it naturally shares structural traits with AI output.