LLM Detector: Review AI-Typical Phrasing
Use this LLM detector to review AI-typical phrasing, not to identify a particular large language model. Sentence-level AI typicality runs from 0 to 100, with 50 neutral. Results in about 15 minutes, from $0.29/page.
This multifaceted approach enables a comprehensive understanding of the topic.
Illustrative example, not an actual report. A score is not the probability that AI wrote a passage.
How AI-Typical Phrasing Is Assessed
PlagAware evaluates the frequency and relevance of stereotypical AI expressions in each sentence. The result measures AI-typical phrasing, not who wrote the text. Detection is not guaranteed for every language model.
Autoregressive Generation
Many language models generate text by predicting tokens. Their output can contain stereotypical expressions, but prompts and settings affect the result.
Temperature & Sampling
Sampling settings and prompts can change output style. PlagAware warns that AI-generated text can be missed; no generation setting guarantees detection.
Training Data Patterns
Training data and output style vary between models. Human text can also contain AI-stereotypical expressions, so style alone is not proof.
AI Models and Detection Limits
The detector assesses AI-typical phrasing rather than identifying a particular model. Detection is not guaranteed for every model, version, or edited passage. PCO has not published model-specific validation for this service.
OpenAI: GPT-3.5, GPT-4, GPT-4o
ChatGPT output can contain AI-typical expressions. Scores do not identify an OpenAI model or version.
Anthropic: Claude 2, 3 Haiku, Sonnet, Opus
Claude output may contain AI-typical phrasing. Review our dedicated Claude detector guide for sentence-level review.
PlagAware names Gemini as an example of generative AI. See our Gemini detector guide on text-only analysis.
Meta: Llama 2 & Llama 3
PlagAware names LLaMA as an example of generative AI. Detection is not guaranteed for every model or writing assistant.
Mistral & Phi
Text from other model families can contain AI-typical expressions. The report does not identify Mistral or Phi as the source.
DeepSeek, Copilot & Emerging
New models evolve rapidly. Review our guides for DeepSeek reasoning and Microsoft Copilot Word drafts.
How to Use the LLM Detector
Upload Your Document
Submit PDF, DOCX, DOC, or TXT, up to 50 MB. No account required. Your document goes to PlagAware and is not added to a plagiarism pool.
Multi-Model LLM Analysis
PlagAware evaluates the frequency and relevance of stereotypical AI expressions in each sentence. The result measures AI-typical phrasing, not who wrote the text.
Scored Report Delivered
In about 15 minutes, you receive a PDF report with sentence-level AI typicality from 0 to 100, with 50 neutral. It does not identify which model generated a passage.
Understanding the 0 to 100 Typicality Score
PlagAware measures AI typicality from 0 to 100 for each sentence, with 50 neutral. Lower values indicate less AI-typical phrasing; higher values indicate more AI-typical phrasing. The score is not an authorship probability or proof of AI use.
Prompts, model choice, editing, and subject-specific language can affect scores. Do not use scores to attribute a passage to a particular model.
- Below 50: Less AI-typical phrasing
- Above 50: More AI-typical phrasing
- 50: Neutral phrasing
- Each sentence scored independently
93 / 100
Illustrative typicality
4
Higher-scoring sentences
44
Pages
Sentence analysis
The sample included 47 participants recruited from three different departments.
It is crucial to acknowledge that the multifaceted nature of this phenomenon necessitates a comprehensive and nuanced approach.
Two participants withdrew before completing the final questionnaire.
Scan Options and Pricing
Pay per page. No subscription. Minimum order $0.90.
Plagiarism Scan
Source plagiarism check only
- About 70 billion public sources
- Results in 15 minutes
- PDF report with sources
- PlagAware technology
Combo: Plagiarism + AI
Plagiarism + LLM detection
- Full plagiarism check
- AI-typical phrasing analysis
- AI typicality, not model identity
- Best price per page
AI Scan
LLM detection only
- AI-typical phrasing analysis
- Score 0 to 100 per sentence
- Results in 15 minutes
- PDF by email
Frequently Asked Questions
An LLM detector assesses AI-typical phrasing without comparing it to a matching source. It does not prove AI authorship or identify the model used.
The detector assesses AI-typical phrasing rather than identifying a particular model. Detection is not guaranteed for every model, version, or edited passage. PCO has not published model-specific validation for this service.
PlagAware evaluates the frequency and relevance of stereotypical AI expressions in each sentence. The result measures AI-typical phrasing, not who wrote the text. PlagAware measures AI typicality from 0 to 100 for each sentence, with 50 neutral. Lower values indicate less AI-typical phrasing; higher values indicate more AI-typical phrasing. The score is not an authorship probability or proof of AI use.
No. The report measures AI typicality for each sentence. It does not identify the model used, and it does not reliably confirm AI involvement.
Text from open-weight models can contain AI-typical expressions, but detection is not guaranteed for Llama, Mistral, or any other model. A score does not prove which tool was used.
Explore Model-Specific Detection Guides
Review model-specific analysis guides and academic integrity tools across our platform.
Review sentence-level typicality and citation boundaries in Claude academic drafts.
Review text-based AI indicators versus SynthID watermarking for Google Gemini prose.
Understand how detectors evaluate submitted final prose rather than reasoning tokens.
Check Microsoft Word drafts for AI phrasing while distinguishing prose from code.
Review AI-Typical Phrasing Before Submission
Upload your document for a sentence-level AI typicality report in about 15 minutes. No guarantee covers every model or version.