Free AI Text Detector Online — Human or AI?

Since generators like ChatGPT, Claude or Gemini became widespread, the same question keeps coming up everywhere: was this text written by a human or by an AI? The AI text detector from Volade answers with a percentage and a verdict, explaining what tipped the balance — burstiness, lexical diversity, repetitions, punctuation — without ever sending your text to a server.

How does an AI text detector work?

Language models produce statistically “smooth” text: sentences of uniform length, evenly spread vocabulary, few sharp variations, sentence openings that all look alike. A human, by contrast, varies: a very short sentence follows a long one, a rare word pops up, expressive punctuation appears. The detector measures exactly these variations and weights the signals into a score. The more alike the sentences are, the more the vocabulary goes in circles and the poorer the punctuation, the higher the AI probability climbs.

What is burstiness and why is it decisive?

Burstiness measures the length variation between the sentences of a single text (coefficient of variation). Modern AIs tend to produce sentences close to their mean; human writing alternates notes, questions, developments. High burstiness is therefore a strong human signal — it is the metric the best detectors weight the most, and the tool displays it explicitly.

What are lexical diversity and repetitions?

Lexical diversity (TTR) reports the number of unique words against the total word count; repetition flags word sequences (bigrams) that come back abnormally often. An AI text loops the same connectors over and over — “first of all”, “in conclusion”, “it is important to note”. Conversely, a human text may deliberately repeat a technical term without being a machine: the tool always combines both signals to avoid false positives.

How to read the verdict: human, mixed or AI?

Below 35%, the tool reports likely human; between 35% and 65%, the mixed zone — the most common case, because texts revised by an AI and then reworked by hand mix both profiles; above 65%, likely AI. Strict mode lowers these thresholds for borderline cases. In the mixed zone, rely on the sentence-by-sentence analysis: a single high-risk sentence in an otherwise human paragraph often points to assisted rewriting.

Should you worry about false positives?

Yes, and the tool owns it. An administrative style, a highly structured scientific article or an automatically translated text can look “too regular” and be classified as AI even though they are human. That is why the tool shows the raw metrics, gives a note under each value and adds a reminder: the score is a statistical signal, never proof. In doubt, compare two paragraphs far apart in the document — that is where human writing gives itself away the most.

What are the practical use cases?

Teachers checking homework, editors reviewing external contributions, recruiters scanning a cover letter, journalists verifying a wire story, communities moderating customer reviews: all situations where a first statistical signal helps sort before a human eye. To refine your own writing after assisted generation, cross the result with the word counter, the text comparator to measure the gap between two versions, and the AI prompt generator to better drive your writing tools.