See It in Action: Sample Analyses

Here are real examples showing how our detection heuristics work. Try the tool above with your own content.

"It's important to note that the landscape of artificial intelligence has undergone a multifaceted transformation. Furthermore, navigating the complexities of this realm requires a comprehensive understanding of the underlying mechanisms."

Contains 4 common AI phrases
Very consistent sentence structure
High use of formal transition words
Excessive hedging language

"I spent 3 hours last Tuesday debugging a weird CSS issue. Turns out I'd typed 'colr' instead of 'color' — classic. My cat kept walking on my keyboard which didn't help at all lol."

Contains typo ('colr')
Personal anecdote with specific details
Informal language and humor
Varied sentence structure

"Machine learning models process data through multiple layers of neural networks. Each layer extracts features at different levels of abstraction. The training process adjusts weights through backpropagation."

Technical writing style (expected for topic)
Moderate vocabulary diversity
No personal markers but also no AI-typical phrases
Could be either human expert or AI

How It Works

LooksFake AI analyzes text for perplexity, burstiness, and lexical diversity — patterns that differ between human and AI writing. For images, we check metadata, pixel noise, and common AI generation signatures. For videos, we examine temporal consistency and deepfake artifacts.

All analysis runs locally in your browser — we never see, store, or transmit your content. Results are probabilistic, not definitive proof. Read our detection guide | Privacy policy | Terms