AIImageDetector.info NEW

The AI Image Detector employs a multi-signal forensic screening approach to determine if an image is AI-generated.It utilizes four independent AI detection models – Sightengine, Winston AI, SAFE (KDD 2025), and Open-source cross-check – each with published weights.

These engines are cross-checked for disagreement, which is honestly reported within the report.The tool analyzes images uploaded as JPEGs, PNGs, or WebPs (up to 12MB) in batch sizes of up to 50.A “credentals & metadata” trump card checks C2PA credentials and generator self-tags for definitive confirmation.

The process runs in seconds with parallel engine execution.The output is a graded conclusion – from AI-generated to real – accompanied by visual evidence and the names of each voting engine.Users receive a shareable report link, a forensic PDF download, and can benefit from a free trial with 4 credits.

It’s designed for applications like dating profile verification, e-commerce product screening, and media authentication, prioritizing transparency and avoiding single-score guesswork.

Key Features

• Multi-signal forensic screening
• Four independent AI detection models (Sightengine, Winston AI, SAFE (KDD 2025), Open-source cross-check)
• Cross-checking for disagreement and reporting
• Batch image processing (up to 50 images)
• C2PA credential and generator self-tag verification
• Parallel engine execution for rapid analysis
• Graded conclusion with visual evidence and engine votes
• Shareable report link and forensic PDF download
• Free trial with 4 credits

Use Cases

• Verifying the authenticity of dating profile photos to prevent fraud.
• Screening e-commerce product images for AI-generated content before purchase.
• Authenticating news and viral images to combat misinformation.

Who is it for?

• Trust & safety teams
• Moderation teams
• Educators