Free AI Image Detector
Upload a JPG or PNG to check for AI generation, diffusion and GAN artifacts, face swaps, and image manipulation. Review a probability score with supporting evidence.
Try the free AI image detector
Drag & drop any file
JPG and PNG images up to 10 MB
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
- βPixel-level heatmap highlighting suspicious regions
- βBounding boxes for detected manipulations
- βConfidence scores with calibrated bands
- βArtifact analysis (noise, texture, inconsistencies)
Operational Guidance
- β‘Processing time depends on dimensions, format, and scan mode
- πBatch workflows are available for multiple images
- π―Review confidence together with image and metadata evidence
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. Re-test against emerging attacks and use source context with the result.
Generalization Bounds
Performance varies across novel generators and styles. Representative evaluation should include unseen models, edits, and compressed samples.
API Integration
Get started in minutes with our unified API
curl -X POST https://app.zerotrue.app/api/v1/check \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"input": {
"type": "image",
"value": "https://example.com/image.jpg"
},
"is_private_scan": true,
"is_deep_scan": false,
"idempotency_key": "req-123"
}'