Free ChatGPT Detector.
Check whether a text reads like GPT output. Honest 0 to 100 scores with a clear account of what ChatGPT detection can and cannot prove.
Scores 40 to 69 are inconclusive. Never punish on a score alone.
What ChatGPT text actually looks like
ChatGPT is the most common source of machine-written text people paste into a detector, and unedited GPT prose has recognizable statistical habits. Sentences cluster around the same length. Paragraphs follow the same arc: topic sentence, two supporting clauses, tidy summary. Transitions lean on the same connective tissue, and the vocabulary stays in a safe, high-frequency band. None of these tells is visible in a single sentence; all of them show up as measurable uniformity across a few hundred words. That is the signal this detector reads.
Effective time management is essential for academic success. By creating a structured schedule, students can allocate sufficient time to each subject. Furthermore, prioritizing tasks helps ensure that important deadlines are met. In conclusion, developing strong organizational habits is a valuable investment in one’s future.
I am not a planner by nature. My calendar is a graveyard of abandoned systems. What finally worked was embarrassingly small: I write tomorrow’s three tasks on a sticky note before bed. That’s it. Some weeks the note wins, some weeks the chaos does.
Can any tool prove text came from ChatGPT?
No, and you should distrust any product that claims otherwise. Modern language models share training recipes and statistical habits, so a detector can honestly say this text reads machine written, but not this text came from GPT-4o rather than Claude or Gemini. There is also no public, verifiable watermark in ChatGPT prose today. What you get here is the honest version of the claim: a likelihood that the writing is machine generated, with ChatGPT being the most probable source simply because it is the most used assistant.
Edited GPT text and the boundary cases
The score tracks human effort surprisingly well. Raw GPT output typically reads high. A human pass that rewrites openings, breaks rhythm and inserts specifics drops it into the mixed band. A genuine rewrite, where GPT contributed structure but the sentences are yours, usually reads human, and that is the correct verdict: authorship is a spectrum and the dial reports where on it the text sits. For the full mechanics, read how AI detectors work; for what schools do with GPT suspicions, see what AI detector colleges use.
Related tools and guides
Check a text for GPT patterns.
Paste the passage and get an honest reading in seconds.
Free. No account. Nothing stored.Frequently asked
Can it tell ChatGPT from other AI models?
Not reliably, and no detector can. Modern models share statistical habits, so the score reflects how AI-like the text is overall. The verdict applies to machine-written text in general, with ChatGPT being the most common source.
Does it detect GPT-5 and newer models?
The detector scores statistical patterns rather than fingerprints of a specific version, so newer GPT models are covered to the extent they share those patterns. Expect scores to be less decisive on newer, more human-tuned models.
Will ChatGPT text edited by a human still get flagged?
The more a human rewrites, the lower the score, which is correct behavior: the final text genuinely is more human. Light edits usually leave enough machine pattern to score in the AI range.
Does OpenAI watermark ChatGPT text?
There is no public, verifiable watermark in ChatGPT prose today. Detection therefore relies on statistical analysis, which works on probabilities. That is why we show a score, not a yes or no.