The volume of AI-generated imagery circulating online has grown exponentially. What began as a novelty — early GAN-produced faces with telltale artifacts — has evolved into photorealistic content that is virtually indistinguishable from authentic photography. The implications for journalism, e-commerce, legal evidence, and everyday trust are enormous.
Today, we're launching Sightova to address this problem head-on.
Why Detection Matters Now
In 2025 alone, an estimated 10 million synthetic images were generated daily across platforms like Midjourney, DALL-E, Stable Diffusion, and Flux. Most of these are harmless creative outputs. But a growing subset is weaponized: fabricated news imagery, forged identity documents, synthetic product listings designed to defraud buyers, and non-consensual deepfakes.
Existing detection tools rely heavily on metadata inspection or simple binary classifiers that quickly fall behind as generative models improve. We took a different approach.
What We Built
Sightova's core engine is a Vision Transformer (ViT) model trained on over 500,000 images spanning every major generative architecture. Rather than looking for surface-level artifacts that generators quickly learn to eliminate, our model analyzes deep pixel-level structural patterns — the statistical fingerprints that each generative architecture leaves behind.
The result is a detection system that achieves 98.7% accuracy across more than 50 generative models, with sub-150ms latency per image.
But detection alone isn't enough. When our model flags an image as AI-generated, you need to know which model created it. Sightova doesn't just tell you an image is synthetic — it identifies the specific generator responsible, whether that's GPT Image, Midjourney, Stable Diffusion, or one of dozens of others.
Built for Everyone
We designed Sightova to be accessible to individual users, journalists, and researchers — not just enterprise security teams. Our free tier provides 50 scans per month through a clean web dashboard. Upload an image, and within seconds you have a full forensic breakdown: authenticity probability, generator identification, and a detailed confidence assessment.
For platforms and businesses processing imagery at scale, our REST API delivers the same intelligence programmatically, with structured JSON responses that integrate directly into existing content moderation and trust & safety pipelines.
What's Next
This launch is the beginning. We're actively expanding our detection capabilities, improving our model's performance on emerging generators, and building features that give users deeper insight into the provenance and integrity of visual content.
We believe the ability to verify what's real should be universally accessible. That's the mission behind Sightova.
Try it today at sightova.com.