Our proprietary algorithm analyzes images for synthetic patterns, artifacts, and AI fingerprints across 30+ generators, to determine if images are real or AI-generated.
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JPG, PNG, GIF, WebP up to 10MB
The Landscape
AI images generated in 2025
And accelerating every month
of internet users exposed
Without knowing what they saw was fake
increase year over year
In AI-generated visual content online
Every day, millions of AI-generated images flood the internet, many indistinguishable from photographs. The tools that create them are becoming more powerful, more accessible, and more convincing. What was once the domain of research labs is now available to anyone with a browser.
By the end of this year, AI-generated visual content is projected to outnumber photographs taken by humans on the open web. The implications are profound. From art and commerce to journalism and politics, the line between what was captured and what was created has dissolved entirely.
The Problem
“In a time of universal deceit, telling the truth is a revolutionary act.”
— George Orwell
Humans identify AI-generated images about 50% of the time: no better than a coin flip. And most existing detectors aren't much better, with a systematic bias toward classifying AI images as real.
As AI-generated imagery becomes more convincing and more widespread, the gap between generation and detection keeps widening. Single-model detectors can't keep up.
We're building something better.
How It Works
Drop any image into the detector. We accept JPG, PNG, GIF, and WebP up to 10MB. No account or signup required.
Our engine decomposes the image across multiple dimensions—spectral, frequency, and structural—searching for synthetic signatures.
Get a confidence score, verdict, and identified source generator in under 3 seconds. Upgrade for full forensic reports.
Common Questions
Everything you need to know about how our detection engine works and how to get the most out of it.
Upload the image to a multi-signal AI detector like DeepSight. We analyze metadata (EXIF tags, generator fingerprints in PNG chunks, C2PA provenance), pixel-level forensics (noise topology, error level analysis, frequency-domain inspection), and visual anomalies typical of diffusion and GAN outputs. The result is a verdict (real / likely real / uncertain / likely AI / AI-generated) with a confidence score, plus a breakdown of which signals were strongest. No single visual cue is reliable on its own — modern generators have largely eliminated the obvious tells like extra fingers or distorted text — so detection now requires combining multiple weak signals.
API Pricing
Start detecting for free. Scale when you need to. No hidden fees, no surprises.
For individuals exploring AI detection
For professionals and researchers
For platforms and organizations
All plans include SSL encryption, GDPR compliance, and 99.9% uptime SLA.
Join thousands of researchers, journalists, platforms, and everyday people using DeepSight to separate truth from fiction.