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Free AI Content Detector

GSM v4

Detect text from ChatGPT, Claude, Gemini, Grok, Llama & more with sentence-level explainability.

100% Secure & Private 250K+ Scans 99.2% Accuracy
0 words

Works best with 50+ words • Multi-signal sentence report

PDF DOCX TXT PNG JPG WEBP

How Cluster AI Content Detection Works

1

Paste or Upload

Enter text directly or upload a document (PDF, DOCX, TXT, or scanned image). OCR parses text automatically.

2

Multi-Signal Analysis

The GSM Ensemble evaluates 8 stylometric indicators, multi-LLM lexical fingerprints, and TF-IDF character patterns.

3

Sentence Heatmap

Get an instant overall probability score alongside an interactive sentence-by-sentence breakdown and feature rankings.

Why Use Cluster AI's Multi-Signal Detector?

Human-First Prior Calibration:

Dampens false positives on formal research papers and professional essays.

Multi-Model Coverage:

Trained on outputs from ChatGPT-4o, Claude 3.5, Gemini 1.5, Grok 2, and Llama 3.

Sub-Second Processing:

Analyzes essays and multi-page papers in ~42 milliseconds.

100% Privacy & Confidentiality:

Your submitted text is never stored or used to train public machine learning models.

Frequently Asked Questions

Can AI content detection be 100% guaranteed?

No statistical AI detector can guarantee 100% deterministic certainty because language generation is probabilistic. However, our calibrated multi-signal ensemble achieves 96.8%+ accuracy on benchmark corpora and provides transparent sentence-level highlights to help you evaluate results with context.

What should I do if my human-written essay is flagged?

Formal scientific writing can sometimes exhibit characteristics like low sentence variety or passive voice. You can check the contributing features breakdown in the report, introduce more sentence length variation, or use our AI Humanizer to optimize natural writing rhythm.

What document file formats are supported?

We support PDF, DOCX (Microsoft Word), TXT (Plain Text), and image formats (PNG, JPG, BMP, TIFF, WEBP). Images and scanned PDFs are processed using integrated high-accuracy Optical Character Recognition (OCR).

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