What is the AI Text Detector?
Twaino’s AI Text Detector is a free tool that analyzes text to determine whether it was written by artificial intelligence (ChatGPT, Claude, Gemini, etc.) or by a human. With the explosion in the use of AI content generation tools, it has become essential to be able to distinguish authentically human texts from automatically generated content.
This tool uses advanced algorithms to analyze the linguistic patterns, burstiness, and lexical diversity of the text. Content generated by AI tends to exhibit recurring patterns, unusual syntactic regularity, and a lack of natural variation that our algorithms are capable of detecting.
Why is detecting AI content important?
Detecting AI-generated content addresses several important needs in the web and SEO world:
Editorial quality: If you work with freelance writers or a content creation team, it is legitimate to want to verify that the delivered texts are the result of original human work. Content entirely generated by AI without human oversight often lacks nuance, real expertise, and unique perspective.
SEO compliance: Google has clarified its position on AI content: it does not penalize AI-generated content per se, but it sanctions low-quality content created primarily to manipulate rankings. Verifying your content allows you to ensure it meets expected quality criteria.
Credibility and trust: Readers appreciate authenticity. A blog or authority site that massively publishes low-value AI content risks losing its audience’s trust in the long term.
Academic and professional settings: In educational or professional contexts, being able to verify the authenticity of a text is crucial to maintaining the integrity of the work produced.
How does our AI Text Detector work?
Using our detector is simple and instantaneous:
Step 1: Copy and paste the text you want to analyze into the input field. The tool works optimally with texts of at least 100 words for reliable analysis.
Step 2: Click the analyze button to launch detection. Our algorithm examines the text according to several linguistic and statistical criteria.
Step 3: Review the results which indicate the probability that the text was generated by AI, with a detailed score and the linguistic metrics that led to this evaluation.
The 8 indicators analyzed by our tool
Our detector relies on 8 precise linguistic metrics to evaluate the origin of a text. Each metric is calculated independently and contributes to the final score:
1. Vocabulary diversity (Type-Token Ratio)
This metric measures the ratio between the number of unique words and the total number of words in the text. Human text naturally uses richer and more varied vocabulary, while AI tends to reuse the same terms and expressions. A high ratio (above 0.6) suggests human text; a low ratio (below 0.4) points to AI text.
2. Burstiness (sentence length variability)
Burstiness evaluates the variation in length between sentences. Humans naturally alternate between short, punchy sentences and longer, developed ones. AI, on the other hand, produces sentences of more uniform length. High burstiness (above 7) is a strong sign of human writing, while low burstiness (below 3) is characteristic of AI-generated text.
3. Bigram repetition
A bigram is a pair of two consecutive words (for example: “of the”, “it is”). This metric analyzes the rate of bigrams that appear more than once in the text. AI tends to create more repetitions of two-word structures, which betrays a lack of variety in sentence construction.
4. Transition words
AI models have a clear tendency to overload their texts with transition words like “however”, “nevertheless”, “furthermore”, “consequently”, “moreover”, “thus”, or “notably”. Our tool measures the ratio of transition words to the number of sentences. A high ratio (above 0.3) is a strong indicator of AI content.
5. Diversity of sentence beginnings
A human writer naturally begins sentences in varied ways, while AI tends to reuse the same sentence-opening structures (“It is important to…”, “It is advisable to…”, “Indeed, …”). This metric measures the ratio of unique sentence beginnings to the total. Diversity below 0.5 is a signal of AI writing.
6. Average word length
AI models produce texts with remarkably stable average word length, typically between 4.5 and 5.5 characters. Humans, depending on their style and subject, show more variable averages. If the average length falls within this “standard AI” range, it adds points to the AI score.
7. Punctuation diversity
Humans naturally use varied punctuation: commas, semicolons, dashes, colons, exclamation marks, parentheses, quotation marks, etc. AI often limits itself to commas and periods. Our tool measures the ratio between the number of different punctuation types and the total punctuation marks used.
8. Paragraph variance
When the text contains multiple paragraphs, this metric analyzes the variation in their length. AI tends to produce paragraphs of similar size (3-4 sentences each, of comparable length), while a human naturally varies paragraph size based on the subject matter. Low variance (below 20 words²) points to AI text.
How is the final score calculated?
The final score is calculated on a base of 50 points (neutral). Each metric adds or subtracts points based on its thresholds:
- 0 to 44% → Probably human — the text exhibits natural characteristics of human writing
- 45 to 69% → Possibly AI-generated — the text exhibits some mixed signals, it may be reworked AI text or very formal human style
- 70 to 100% → Probably AI-generated — the text accumulates multiple markers typical of AI writing
The higher the score, the more the text exhibits characteristics associated with AI generation. The gauge needle moves from left (human) to right (AI) based on this score.
Limitations of AI detection
It is important to understand the current limitations of any AI text detector:
No tool can guarantee 100% detection accuracy. Language models are constantly evolving and becoming increasingly sophisticated in their ability to produce natural text. AI text heavily reworked by a human may not be detected.
Short texts (less than 50 words) are difficult to analyze reliably. The longer the text, the more accurate the analysis because statistical patterns become more apparent.
Very technical or academic texts can sometimes be falsely flagged as AI due to their formal and structured style, which resembles language model outputs.
FAQ
Does Google penalize AI-generated content?
Google does not penalize AI content as such. Its official policy (updated in 2023) is to reward quality content, regardless of how it was produced. However, low-quality AI content, created in bulk without human oversight and without added value, may be considered spam and penalized. What matters is that the content is useful, original, and provides real value to readers.
What is the accuracy of the AI text detector?
Our tool achieves high accuracy on sufficiently long texts (200+ words). However, no detector is infallible. Accuracy depends on several factors: text length, degree of human reworking, AI model used, and language. We recommend using the results as an indicator rather than absolute proof.
Does the detector work with all AI models?
Yes, our tool is designed to detect content generated by major language models: ChatGPT (GPT-3.5, GPT-4), Claude (Anthropic), Gemini (Google), LLaMA (Meta), Mistral, and others. The linguistic patterns analyzed are common to most major current language models.
Will AI text reworked by a human be detected?
It depends on the degree of modification. Slightly reformulated AI text will likely still be detected. Conversely, AI text that is significantly restructured, enriched with personal examples, specific data, and a unique perspective will be much harder to identify as AI content. This is actually best practice: use AI as a starting point and add your own expertise.
What is the minimum word count for reliable analysis?
For reliable results, we recommend a minimum of 100 to 200 words. Below 50 words, analysis becomes unreliable because there is not enough textual data to identify significant statistical patterns. The longer the text, the more accurate the detection.
Can I use this tool to verify my writers’ texts?
Absolutely. This is one of the main use cases for our detector. If you outsource content writing, using this tool allows you to verify that delivered texts are the result of human work. However, keep in mind that text flagged as potentially AI is not necessarily fraudulent — some natural writing styles can trigger false positives.
