AI Image / Deepfake Detector
Identify diffusion and GAN artifacts, face swaps, and AI-generated images with region-based evidence and calibrated confidence scores.
What We Detect
Comprehensive AI image and manipulation detection
Diffusion Artifacts
Detect subtle diffusion patterns, noise inconsistencies, and generation artifacts from Stable Diffusion, DALL-E, and Midjourney
Face Swaps
Identify replaced faces with lighting inconsistencies, boundary artifacts, and forensic analysis
GAN Generated
Detect GAN-generated images from StyleGAN, BigGAN, and other generative models
AI-Generated Art
Identify fully AI-generated images across multiple styles and generation techniques
Inpainting
Detect edited regions with inpainting tools and localized AI modifications
Geometric Distortions
Identify unnatural geometric artifacts common in AI-generated images
Explainable Evidence
Understand exactly why content was flagged
Evidence Types
- โPixel-level heatmap highlighting suspicious regions
- โBounding boxes for detected manipulations
- โConfidence scores with calibrated bands
- โArtifact analysis (noise, texture, inconsistencies)
Performance
- โกSub-500ms average response time
- ๐Batch processing for high-volume workflows
- ๐ฏ96%+ accuracy on in-the-wild dataset
API Integration
Get started in minutes with our unified API
curl -X POST https://api.zerotrue.app/v1/detect \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"modality": "image",
"url": "https://example.com/image.jpg",
"options": {
"include_evidence": true
}
}'Limitations & Best Practices
Understanding model constraints for optimal results
False Positive Risk
Highly compressed images, heavy filters, or artistic edits may increase false positives. Use confidence bands for thresholds.
Adversarial Attacks
Sophisticated anti-detection techniques may evade detection. We continuously update against emerging threats.
Generalization Bounds
Performance varies across novel generators and styles. Rolling evaluations track real-world performance.