AI Image Detector
Detect AI-generated photos and deepfakes directly in your browser using local AI vision models and metadata forensics.
Free Online AI Image Detector & Deepfake Checker
How Does the AI Image Detector Work?
1. Neural Vision Model
A lightweight Vision Transformer (ViT) model executes locally via WebAssembly and WebGPU to detect artificial diffusion textures, synthetic high-frequency noise, and digital synthesis markers.
2. Metadata & Chunk Forensics
Analyzes raw binary chunks for Stable Diffusion generation parameters, ComfyUI node graphs, Midjourney signatures, and authentic camera EXIF tags (Make, Model, F-Number, ISO).
3. Error Level Analysis (ELA)
Measures compression differences across image blocks. Real cameras produce uniform noise floors, while synthetic images and digital composites reveal telltale frequency voids and anomalies.
Common Signs of AI-Generated Images
- Anomalous Textures & Skin: Unnatural plastic skin smoothness, lack of fine pores, or waxy hair strands that merge together.
- Geometric & Hand Inconsistencies: Distorted fingers, misaligned fingernails, impossible jewelry symmetry, or irrational background architectural lines.
- Diffusion Noise Voids: Background areas with uniform gradient sweeps lacking the natural grain caused by physical camera sensors.
- Default Dimensions: Images generated at standard diffusion square resolutions such as 1024×1024px or 512×512px without camera sensor aspect ratios.
Frequently Asked Questions
Is this AI image detector 100% free?
Yes, our tool is completely free with no daily limits, subscriptions, or sign-up requirements.
Are my photos uploaded or stored anywhere?
No. Everything runs 100% locally in your web browser. Your images never leave your computer and are never sent to any server or cloud API.
Which AI models can this tool detect?
The detector identifies images from Midjourney, Stable Diffusion (WebUI, ComfyUI, Forge), DALL-E 3, Adobe Firefly, Flux, NovelAI, and modern image-generating models.
What is Error Level Analysis (ELA)?
Error Level Analysis re-compresses an image at a known JPEG compression rate and evaluates the difference in error levels across the image. High-frequency variance spikes or unnatural uniform voids often indicate digital synthesis or localized photo editing.
Can an AI detector be 100% accurate?
No automated tool is 100% infallible. Highly compressed social media images or heavily edited genuine photographs can produce mixed signals. We provide transparent indicator breakdowns across neural patterns, metadata, and ELA artifacts so you can evaluate the evidence.
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