Free AI Content Detector
Check if your text was written by AI. Analyzes 8 statistical patterns including vocabulary diversity, sentence variance, and common AI phrases.
How to use this the ai content detector
- 1
Paste your text
Copy your content (minimum 50 words) and paste it into the text box above. Longer texts produce more reliable results.
- 2
Click Analyze
Hit the Analyze button. The tool runs 8 statistical tests on your text entirely in your browser. Nothing is sent to a server.
- 3
Review AI probability and signal breakdown
Check your overall AI probability score and the individual breakdown across all 8 signals: vocabulary diversity, sentence variance, burstiness, word rarity, repeated phrases, AI filler phrases, paragraph uniformity, and sentence starters.
How AI content detection works
AI language models like ChatGPT, Claude, and Gemini produce text with measurable statistical patterns. According to research from Stanford HAI, AI detection tools achieve 70-85% accuracy on longer texts, because these patterns become more statistically significant with more data. The patterns emerge because LLMs predict the most likely next token at each step, which leads to predictable vocabulary choices, uniform sentence structures, and repetitive transitions. Human writers, by contrast, produce text with more variation, unexpected word choices, and uneven rhythms.
This tool analyzes 8 independent signals: vocabulary diversity, sentence length variance, burstiness, word rarity, repeated phrases, known AI filler phrases, paragraph uniformity, and sentence starter diversity. Each signal produces a 0-100 AI likelihood score. The weighted combination of all 8 signals gives the overall probability estimate.
No single signal is definitive. A low vocabulary diversity score could mean AI-generated text, or it could mean a focused technical article with domain-specific terminology. The combined analysis across all 8 dimensions provides a more reliable estimate than any single metric alone.
All analysis runs entirely in your browser. Your text is never sent to any server, making this tool completely private.
What this tool detects
Each of the 8 signals targets a specific statistical property that differs between AI and human writing.
| Signal | What it measures | AI pattern | Human pattern |
|---|---|---|---|
| Vocabulary Diversity | Ratio of unique words to total words (Type-Token Ratio) | TTR below 0.45. AI reuses common words. | TTR above 0.55. Humans use more varied vocabulary. |
| Sentence Length Variance | Standard deviation of word counts per sentence | Std dev below 4. AI produces uniform sentence lengths. | Std dev above 7. Humans vary sentence length naturally. |
| Burstiness | Ratio of max to mean consecutive sentence length change | Below 2. AI keeps an even pace throughout. | Above 3.5. Humans write in bursts of short and long sentences. |
| Word Rarity | Percentage of words longer than 8 characters | Below 8%. AI favors common, predictable words. | Above 15%. Humans use more specialized vocabulary. |
| Repetitive Phrases | Frequency of repeated 3-word sequences | High repetition. AI recycles transitions and connectors. | Low repetition. Humans vary phrasing naturally. |
| AI Filler Phrases | Count of 40 known AI-typical phrases per sentence | Multiple matches. "Delve into", "furthermore", "it's important to note". | Zero or one match. These phrases are rare in casual writing. |
| Paragraph Uniformity | Coefficient of variation of paragraph word counts | CV below 0.25. AI writes paragraphs of similar size. | CV above 0.5. Humans write paragraphs of varying length. |
| Sentence Starters | Ratio of unique first words to total sentences | Below 40%. AI starts many sentences with the same words. | Above 60%. Humans vary their sentence openings. |
Limitations of AI detection
- No detector is 100% accurate. This applies to all AI detection tools, including commercial products like GPTZero and Originality.ai. False positives and false negatives are unavoidable with current technology.
- Edited AI content is harder to detect. A 2024 study by Originality.ai found that heavily edited AI content reduces detection accuracy to below 50%. When humans rewrite sentences, add personal examples, and vary structure, the statistical patterns shift toward human norms. A well-edited AI article may score as human-written.
- Formal writing triggers false positives. Academic papers, legal documents, and technical manuals share some statistical properties with AI output: formal tone, consistent structure, predictable vocabulary. These will sometimes score higher than expected.
- Statistical heuristics, not machine learning. This tool uses rule-based statistical analysis, not a trained neural classifier. It is faster and more private (no server calls), but less accurate than tools that use trained models on large datasets.
- Use results as one data point. Never use any AI detector as the sole basis for academic integrity decisions, content rejection, or employment judgments. Treat the score as an indicator, not proof.
How to make AI content sound more human
If your AI-generated content scores high on detection tools, these specific changes target the signals that detectors look for.
- Vary sentence lengths deliberately. Mix short punchy sentences with longer explanations. Drop in a two-word sentence. Then follow it with something that stretches across 30 words. This disrupts the uniform cadence that AI detectors flag.
- Add specific examples and personal experience. AI writes in generalities. Replace "many businesses struggle with SEO" with "we spent 6 months ranking our first blog post for a keyword with 2,400 monthly searches." Specificity is the strongest human signal.
- Remove AI filler phrases. Search your text for "it's important to note", "in today's landscape", "delve into", "furthermore", and "moreover". Delete them. These phrases add no meaning and are immediate AI tells.
- Take positions instead of hedging. AI hedges constantly: "it can be argued that", "there are various perspectives". Humans have opinions. Say "this approach is wrong because" or "the best option is X."
- Use contractions naturally. Write "don't" instead of "do not", "won't" instead of "will not", "can't" instead of "cannot." AI models default to formal uncontracted forms. Contractions shift the text toward conversational human patterns.
- Break formulaic paragraph structures. AI typically writes 3-5 sentence paragraphs of similar length. Mix it up. Write a one-sentence paragraph for impact. Follow with a dense 8-sentence paragraph. Structural variety signals human authorship.
Frequently asked questions
- How accurate is this AI content detector?
- This tool uses statistical heuristics to estimate AI probability. It is less accurate than commercial tools that use trained machine learning models. Use it as a quick check, not as definitive proof. No AI detector achieves 100% accuracy.
- Can this detect ChatGPT, Claude, and Gemini?
- The tool detects statistical patterns common to most large language models, including ChatGPT, Claude, Gemini, and others. Different models produce slightly different patterns, but the core signals (uniform sentence length, low vocabulary diversity, filler phrases) are shared across most AI text.
- Why does my human-written text show as AI?
- Academic writing, technical documentation, and formulaic content can trigger false positives because they share some statistical properties with AI output (formal tone, consistent structure, predictable vocabulary). If you know the text is human-written, the result is a false positive.
- Does this tool store my text?
- No. All analysis runs locally in your browser using JavaScript. Your text never leaves your device and is not stored, logged, or sent to any server.
- How many words do I need for accurate detection?
- The tool requires a minimum of 50 words. For more reliable results, analyze at least 200 to 300 words. Short texts do not contain enough statistical signal for meaningful analysis.
- Can I use this for academic plagiarism checking?
- This tool detects AI-generated patterns, not plagiarism. It cannot tell you if text was copied from another source. For plagiarism checking, use dedicated tools like Turnitin or Copyscape.
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