Learn about how GPTDetect.ai works
How GPTDetect.ai Works
As pioneers in AI detection, GPTDetect.ai incorporates cutting-edge research in detecting various AI models including ChatGPT, GPT4, Google-Gemini, Llama, and other emerging AI models.
Our Detection Process
Our technology leverages deep learning to stay current with AI advancements, delivering precise and reliable results that help you understand the origin of text content.
1. Input Processing
We accept multiple input formats including:
- Copy and pasted text
- DOCX files
- PDF files
- Image files
- Batch processing up to 50 files simultaneously
2. Deep Learning Analysis
Our end-to-end deep learning approach is trained on diverse text datasets from:
- Web content
- Educational materials
- AI-generated content from various LLMs
3. Sentence-Level Classification
Our sophisticated sentence-by-sentence classification model determines:
- Probability of AI generation
- Confidence levels for each classification
- Pattern recognition across text segments
4. Anti-Evasion Protection
We implement robust defenses against common bypass attempts:
- Paraphrasing detection
- Homoglyph attack prevention
- Pattern manipulation identification
5. Comprehensive Results
Users receive detailed analysis through our dashboard:
- Overall AI probability score
- Sentence-level breakdown
- AI vocabulary detection
- Source verification
- Plagiarism checking
Advanced Features
Mixed Classification
We offer three distinct classification categories:
- Human-written content
- AI-generated content
- Mixed human/AI content
Confidence Scoring
Our confidence categories include:
- Uncertain
- Moderately confident
- Highly confident
With high-confidence predictions maintaining an error rate below 1% based on our diverse evaluation dataset.
False Positive Prevention
We maintain strict quality controls to ensure:
- False positive rate of no more than 1%
- Special calibration for academic writing
- Enhanced accuracy for ESL writers
Research and Development
Our commitment to advancement includes:
- Continuous model improvement
- Regular dataset updates
- Academic collaboration
- Independent verification
- Cross-language support