We believe transparency builds trust. Below you will find thorough answers to the most common questions about AI Text Detector, how it works, what it can and cannot do, and how to use it responsibly. If your question is not listed here, reach out through our contact page.
General
What is AI Text Detector?
AI Text Detector is a free online tool that analyzes text and estimates the probability that it was generated by an AI language model such as ChatGPT, Claude, Gemini, or similar systems. It uses multiple linguistic signals, including perplexity, burstiness, and stylistic consistency, to produce a confidence score with per-sentence highlighting. It is designed for educators, students, content professionals, and anyone who wants a transparent signal about a text’s likely origin.
How does AI Text Detector work?
Our detection engine evaluates text across several dimensions. Perplexity measures how predictable word choices are, AI text tends to have consistently low perplexity because models optimize for likely next tokens. Burstiness captures variation in sentence length and complexity, human writing alternates between long, complex sentences and short ones, while AI output is more uniform. We also analyze lexical diversity, syntactic patterns, and discourse-level consistency. These signals are combined in a weighted ensemble model that produces a probability score and per-sentence flags. For a deeper explanation, visit our How It Works page.
Is AI Text Detector free?
Yes. The core tool is free to use with no sign-up, no account, and no daily limits on basic checks. We offer a Pro plan ($9/month) for users who need batch processing, API access, and exportable reports, and an Enterprise plan with custom pricing for organizations requiring dedicated infrastructure and SLA guarantees. See our Pricing page for details.
Who is AI Text Detector built for?
We serve educators screening student submissions, students verifying their own work, content managers auditing freelance deliverables, SEO teams maintaining editorial quality, recruiters evaluating writing samples, and researchers studying AI-generated text. Our goal is to provide a useful signal, not a verdict, for broader evaluation workflows.
Accuracy
How accurate is AI Text Detector?
In our internal benchmarks on English-language text of 300 words or more, AI Text Detector achieves approximately 92% overall accuracy with a false positive rate (human text incorrectly flagged as AI) below 5%. However, no AI detection tool is 100% accurate, and real-world accuracy varies depending on the text’s length, domain, language, and how heavily it has been edited after generation. We publish detailed accuracy data on our Accuracy & Limitations page and update our benchmarks regularly as models evolve.
Can it detect text from ChatGPT, Claude, and Gemini?
Yes. Our detection models are trained and regularly updated to recognize patterns from major AI writing tools including OpenAI’s GPT-3.5 and GPT-4 (ChatGPT), Anthropic’s Claude, Google’s Gemini, Meta’s LLaMA-based models, and Mistral. Detection confidence is generally highest for unedited outputs from these models. As new model versions are released, we update our detection pipeline, typically within weeks of a major model launch.
What about paraphrased or heavily edited AI content?
Paraphrasing tools and heavy manual editing can reduce detection confidence. When a human substantially rewrites AI-generated text, changing sentence structures, replacing vocabulary, adding personal anecdotes, the resulting text genuinely becomes more human, and lower detection scores in these cases are actually accurate: the text is no longer purely AI-generated. We are transparent about this limitation. Our tool detects AI writing patterns, not intent.
What about false positives?
False positives, human-written text incorrectly flagged as AI-generated, do occur, particularly with highly formulaic writing such as legal boilerplate, technical documentation, standardized test responses, and non-native English writing. Our false positive rate is below 5% on general English text, but it can be higher in these specific domains. This is exactly why we recommend using AI detection as one signal among many, never as sole evidence. We display confidence intervals alongside every result to help users understand the margin of uncertainty.
Privacy
Is my text stored after analysis?
No. Text submitted through the free web tool is processed in memory and discarded immediately after your results are returned. We do not store, log, or retain the content of your submissions. Pro and Enterprise users who opt into saved reports have their data encrypted at rest and can delete all stored reports at any time from their dashboard.
Do you use submitted text to train your models?
No. We never use text submitted by users, free or paid, to train, fine-tune, or improve our detection models. Our training data comes from controlled, ethically sourced datasets. This is a firm policy, not a default setting. Your intellectual property remains yours.
Is AI Text Detector GDPR compliant?
Yes. We are committed to GDPR compliance and other applicable data protection laws. Since we do not store submitted text or collect personal data from free-tier users, our data footprint is minimal by design. For Pro and Enterprise users who create accounts, we collect only the minimum necessary information, and you can request data export or deletion at any time. Full details are in our Privacy Policy.
Usage
What is the minimum and maximum text length?
For reliable detection, we recommend at least 150 words (approximately 750 characters). Shorter texts do not provide enough statistical signal for confident analysis. The free tier supports texts up to 10,000 characters per check. The Pro plan extends this to 50,000 characters, and Enterprise plans offer configurable limits. Texts below the minimum threshold will still be analyzed, but results will include a warning that confidence is reduced.
What languages are supported?
Our primary detection models are optimized for English. We offer beta support for Spanish, French, German, and Portuguese, with accuracy rates approximately 5-10% lower than English. We are actively expanding language coverage and plan to add support for additional languages throughout 2025 and 2026. Check our blog for the latest updates on multilingual support.
Can I analyze multiple documents at once?
Yes, batch analysis is available on the Pro and Enterprise plans. You can upload multiple documents (TXT, DOCX, or PDF) and receive individual results for each file. Pro users can process up to 50 documents per batch; Enterprise users have configurable limits based on their plan.
Do you offer API access?
Yes. Our RESTful API is available on the Pro plan and above. It allows you to integrate AI detection directly into your content management system, learning management system, editorial workflow, or custom application. API documentation is available in our developer portal once you activate a Pro or Enterprise subscription. Rate limits are 100 requests per minute on Pro and configurable on Enterprise.
Technical
What AI models can it detect?
AI Text Detector detects content from transformer-based large language models including GPT-3.5, GPT-4, and GPT-4o (OpenAI); Claude 2, Claude 3, and Claude 3.5 (Anthropic); Gemini Pro and Gemini Ultra (Google); LLaMA 2 and LLaMA 3 (Meta); and Mistral models. Our pipeline is model-agnostic at its core, it identifies statistical patterns common to LLM output rather than fingerprinting a single model, so it generally performs well against new models even before targeted updates.
How is AI detection different from plagiarism detection?
Plagiarism detection (such as Turnitin’s traditional product) checks whether text matches existing published sources, it looks for copied content. AI detection is fundamentally different: it analyzes the statistical and linguistic properties of the text itself to estimate whether it was machine-generated, regardless of whether the content matches any existing source. A text can be 100% original (not plagiarized from any source) and still be AI-generated. The two tools answer different questions and are complementary, not interchangeable.
Best Practices
Should AI detection results be used as sole evidence of AI use?
No, and we are emphatic about this. AI detection scores are probabilistic estimates, not definitive proof. We strongly recommend using detection as one data point within a broader process, alongside personal knowledge of the writer, comparison with previous work, conversation about the content, and professional judgment. Institutions that rely solely on detection scores for consequential decisions risk harming individuals unjustly. Responsible use means treating results as a signal, not a verdict.
How should I interpret the scores?
AI Text Detector returns an overall probability score between 0% and 100%, where higher scores indicate a greater likelihood of AI generation. We also provide per-sentence highlighting to show which portions of the text contributed most to the overall score. A score of 0-20% suggests the text is very likely human-written. A score of 20-60% is inconclusive, the text may be partially AI-generated, lightly edited AI content, or formulaic human writing. A score of 60-100% suggests a high likelihood of AI generation. We always display confidence intervals, and we encourage users to read our Accuracy & Limitations page for a full understanding of what these scores mean in context.
Does editing AI-generated text affect detection?
Yes. The more a human edits AI-generated text, restructuring sentences, replacing words, adding personal voice and experiences, the more the text resembles human writing, and detection scores will decrease accordingly. This is by design, not a flaw. If someone meaningfully rewrites AI output, the resulting text is genuinely more human. Our tool measures the statistical properties of the text as submitted, not the history of how it was created.