Frequency Domain FFT Analysis
Detects anomalous grid patterns and high-frequency spectral spikes characteristic of latent diffusion models.
Click to select file or drag image here
Supports PNG, WEBP, JPEG up to 30MBUpload an image or drop a file to run forensic diffusion artifact analysis across Midjourney, DALL-E, and Stable Diffusion.
Inspect digital images with high-frequency Fourier transform analysis and artifact fingerprinting to identify generative AI synthetic imagery.
Detects anomalous grid patterns and high-frequency spectral spikes characteristic of latent diffusion models.
Calibrated against weights from Midjourney v6, DALL-E 3, Stable Diffusion XL, Flux, and Imagen.
Scans for imperceptible pseudo-random frequency watermarks embedded into generated pixels.
Analyzes underlying pixel statistics even after social media compression and JPEG re-encoding.
Highlights specific image regions (textures, backgrounds, eyes, hands) with high synthetic probability.
Uploaded images exist purely in RAM buffers and are permanently deleted after forensic analysis.
How our zero-retention neural pipeline ingests, analyzes, and processes inputs strictly inside high-speed volatile memory.
Drag and drop any JPG, PNG, WEBP, or GIF file into the forensic dropzone.
Algorithmic analyzers compute FFT noise signatures, pixel variance, and diffusion artifacts.
Inspect the synthetic probability score, detected generator model, and visual confidence map.
Comprehensive answers regarding algorithmic benchmarks, data confidentiality, file limits, and integration protocols.
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.
No credit card required. No monthly subscription traps. 100% confidential processing in volatile RAM.