Ultra-high accuracy AI image detection engine. Multi-model ensemble that fuses several specialized models and dozens of forensic signals into one meta-model, validated as the best-performing system in the SPRIND Challenge.
Multi-layer forensic image analysis: several models, dozens of signals, one meta-model.
We fuse several specialized detection models and dozens of forensic signals into one meta-model, delivering a single calibrated risk score with ultra-high accuracy.
Typical analysis completes in under 2 seconds. Designed for real-time pipelines where speed matters: content moderation, upload screening, claim verification.
JPEG, PNG, WebP, TIFF, and BMP. Up to 10 MB per file. No preprocessing required. Send the original file as-is.
Every image passes through several specialized detection models and dozens of forensic signals. A meta-model fuses the outputs into a single, calibrated risk score.
SPRIND Challenge evaluation, November 2025
Real-world conditions: compressed, resized, re-uploaded images
Across full test suite under controlled conditions
Winner, Bundesagentur für Sprunginnovation
Where Frame:Detect fits into your workflow.
Screen wire photos and user-generated content before publication. Protect editorial integrity with automated AI detection at the point of ingestion.
Detect AI-generated product photos and synthetic lifestyle images. Ensure listing authenticity across your marketplace.
Verify damage photos submitted with claims. Flag AI-inpainted or entirely synthetic evidence before it reaches adjusters.
Add AI detection to your content moderation pipeline. Automatically flag synthetic uploads before they spread across the platform.
Talk to the team about integrating Frame:Detect into your pipeline. We run the full detection stack against your sample images.