AI Image Detector
Upload Image to Inspect Detect Midjourney, DALL-E, SDXL & Flux artifacts

Click to select file or drag image here

Supports PNG, WEBP, JPEG up to 30MB
Forensic Verdict Overview Diffusion Spectral Signature
Awaiting Image Upload

Upload an image or drop a file to run forensic diffusion artifact analysis across Midjourney, DALL-E, and Stable Diffusion.

Free AI Image Detector — Detect Midjourney, DALL-E & Diffusion Images

Inspect digital images with high-frequency Fourier transform analysis and artifact fingerprinting to identify generative AI synthetic imagery.

Frequency Domain FFT Analysis

Engine Feature Specification

Detects anomalous grid patterns and high-frequency spectral spikes characteristic of latent diffusion models.

GAN & Diffusion Fingerprinting

Engine Feature Specification

Calibrated against weights from Midjourney v6, DALL-E 3, Stable Diffusion XL, Flux, and Imagen.

Google SynthID Detection

Engine Feature Specification

Scans for imperceptible pseudo-random frequency watermarks embedded into generated pixels.

Compression-Resistant Forensics

Engine Feature Specification

Analyzes underlying pixel statistics even after social media compression and JPEG re-encoding.

High-Resolution Forensic Heatmap

Engine Feature Specification

Highlights specific image regions (textures, backgrounds, eyes, hands) with high synthetic probability.

100% Volatile Memory Guarantee

Engine Feature Specification

Uploaded images exist purely in RAM buffers and are permanently deleted after forensic analysis.

How It Works — Step-by-Step Architecture

Deterministic multi-stage transformation ensuring verified editorial accuracy and zero algorithmic detection.

Upload Suspect Image

Step 01 Architecture

Drag and drop any JPG, PNG, WEBP, or GIF file into the forensic dropzone.

Multi-Layer Neural Forensics

Step 02 Architecture

Algorithmic analyzers compute FFT noise signatures, pixel variance, and diffusion artifacts.

Review Forensic Verdict

Step 03 Architecture

Inspect the synthetic probability score, detected generator model, and visual confidence map.

Frequently Asked Questions

Detailed answers to technical, privacy, accuracy, and operational questions.

Generative models produce subtle mathematical artifacts in frequency distributions (checkerboard patterns, abnormal Fourier harmonics, and unnatural gradient transitions) that camera sensors do not produce. Our detector analyzes these spectral signatures to calculate synthetic probability.

The detector identifies images created by Midjourney (v4, v5, v6), OpenAI DALL-E 3, Stable Diffusion (1.5, XL, SD3), Black Forest Labs Flux.1, and Google Imagen.

Yes. The scanner checks for latent frequency noise patterns consistent with Google DeepMind's SynthID watermarking technology.

Yes. Our models are trained on re-compressed, cropped, and resized imagery common on social media platforms like X, Instagram, and Reddit.

You can upload images up to 25MB in JPG, PNG, WEBP, and GIF formats.

Never. All image forensic processing takes place in transient RAM buffers and is completely deleted immediately following verdict output.

Yes. The neural classifier is trained on vast datasets of raw DSLR photos, smartphone camera captures, and synthetic outputs to prevent false alarms on grain and sensor ISO noise.

Yes. 100% free with unlimited scans and no account registration required.