AI Text Detection Platform

Verifying Content Authenticity with Precision

Production-ready platform designed to identify AI-generated content across education, publishing, hiring, and research domains using sophisticated ensemble detection.

2.4%
False Positive Rate
6
Total Detection Metrics
5s
Average Processing Time

Why Choose Our Platform?

Advanced technology meets practical application

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Domain-Aware Detection

Calibrated thresholds for Academic, Technical, Creative, and Casual content types with specialized detection algorithms for each domain.

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6-Metric Ensemble

Combines Perplexity, Entropy, Statistical, Linguistic, Semantic Analysis, and Multi-Perturbation Stability for comprehensive detection with orthogonal signal capture.

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Explainable Results

Sentence-level highlighting with confidence scores and detailed reasoning for every detection decision.

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Fast Processing

Analyze short texts in 1.2 seconds, medium documents in 3.5 seconds with parallel metric computation.

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Model Attribution

Identifies which AI model likely generated the text - GPT-4, Claude, Gemini, LLaMA, and more.

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Multi-Format Support

Upload and analyze TXT, PDF, DOCX, DOC, and Markdown files with automatic text extraction.

Detection Metrics Explained

Understanding the science behind the detection

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Perplexity Weight: 25%

Measures how predictable the text is using GPT-2 language model. AI-generated text typically has lower perplexity (more predictable) than human writing, which tends to be more varied and surprising.

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Entropy Weight: 20%

Calculates token-level diversity and unpredictability in text sequences. Human writing shows higher entropy with more varied word choices, while AI tends toward more uniform token distributions.

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Structural Analysis Weight: 15%

Analyzes sentence length variance, punctuation patterns, and lexical burstiness. Human writing exhibits more variation in sentence structure and rhythm compared to AI's consistent patterns.

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Linguistic Analysis Weight: 15%

Evaluates POS tag diversity, syntactic complexity, and grammatical patterns. Examines the richness of language structures and whether they match natural human linguistic variation.

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Semantic Analysis Weight: 15%

Assesses semantic coherence, repetition patterns, and contextual consistency. Detects the subtle semantic fingerprints that distinguish AI-generated content from human writing.

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Multi-Perturbation Stability Weight: 10%

Tests text stability under random perturbations. AI-generated text tends to maintain higher likelihood scores even when slightly modified, while human text shows more variation.

Submit Content for Analysis

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Click to upload or drag and drop
Supported formats: TXT, PDF, DOCX, DOC, MD
Maximum file size: 10MB
Identify which AI model generated the text
Show suspicious sentences
More accurate but slower analysis
Show text analysis statistics

Analysis Report

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Ready for Analysis

Paste text or upload a document to begin comprehensive AI detection analysis. Our 6-metric ensemble will provide detailed insights.

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Run an analysis to see sentence-level highlighting

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Run an analysis to see detailed metric breakdowns