Detect AI-Generated Images Instantly
Upload any image and get an instant analysis revealing whether it was created by AI. Trusted by journalists, content creators, and businesses worldwide.
How It Works
Three simple steps to verify any image
Upload Image
Drag and drop or select any image file. We support JPG, PNG, and WebP formats up to 10MB.
AI Analysis
Our advanced models analyze the image for patterns, artifacts, and signatures unique to AI generation.
Get Results
Receive a detailed confidence score showing the probability that the image was AI-generated.
Built for Professionals
Trusted by teams who need reliable image verification
Journalists & Media
Verify the authenticity of images before publication. Protect your reputation with fact-checked visuals.
Content Creators
Ensure the originality of visual content. Stand out by proving your work is authentic and human-made.
Businesses
Protect your brand from AI-generated misinformation. Verify user-submitted images and marketing assets.
Educators
Maintain academic integrity by detecting AI-generated images in student submissions and research papers.
Why AI Image Detection Matters More Than Ever
Generative AI has crossed the uncanny valley. Modern models produce images that are virtually indistinguishable from real photographs -- and the consequences are already here.
Deepfake Misinformation
AI-generated photos of public figures, disaster scenes, and fabricated events spread on social media within minutes, shaping public opinion before fact-checkers can respond.
Election Interference
Hyper-realistic fake images of political candidates are used to manipulate voters. In 2024, several elections worldwide were influenced by AI-generated visual disinformation.
Legal & Insurance Fraud
Fabricated evidence in court cases and fake damage photos in insurance claims are becoming harder to spot, threatening the integrity of legal and financial systems.
Eroding Public Trust
When any photo could be AI-generated, people start doubting even real images. This "liar's dividend" undermines journalism, science, and everyday communication.
Identity Theft & Scams
AI-generated headshots are used to create fake social media profiles, phishing campaigns, and romance scams -- costing victims billions of dollars annually.
Exponential Growth
In 2023 the internet saw around 15 billion AI-generated images. By 2026, AI-generated visuals are projected to outnumber human-created photos online.
The bottom line: We can no longer trust images at face value. Tools that verify visual authenticity are not optional -- they are essential infrastructure for a functioning information ecosystem.
How to Tell AI Images From Reality
While automated tools provide the most reliable detection, understanding the telltale signs of AI-generated images makes you a more informed analyst. Here are the key indicators professionals look for.
Unnatural Eyes & Faces
AI models still struggle with anatomical consistency. Look for asymmetric pupils, irregular iris patterns, teeth that blur together, and earlobes that melt into the jawline. In group photos, faces at the edges are often more distorted.
Skin Texture Anomalies
AI-generated skin often looks too smooth -- almost "plastic." Pores, fine lines, and natural skin imperfections are either absent or repetitive. Hair strands near the hairline may merge or split unnaturally.
Background Inconsistencies
Check edges where the subject meets the background: warped lines, repeating patterns in foliage or architecture, text that looks like language but says nothing. Straight lines (fences, doorframes) often bend or disconnect.
Metadata & Compression Artifacts
Real camera photos carry EXIF metadata (device, GPS, aperture). AI images typically have none. Compression patterns also differ: AI models produce uniform noise, while real JPEG compression creates characteristic block artifacts.
Frequency Domain Signatures
When analyzed with Fourier transforms, AI-generated images reveal distinct spectral patterns. GAN-based images show periodic peaks; diffusion models leave checkerboard artifacts invisible to the naked eye but clear in frequency space.
Lighting & Physics Violations
Shadows that point in different directions, reflections that do not match the scene, and objects that defy basic physics (floating, impossible geometry). AI learns appearance, not the physical rules behind it.
The Limits of Manual Detection
Even trained experts misclassify AI images 20-40% of the time. The latest diffusion models (Midjourney v6, DALL-E 3, Flux) have largely eliminated the visual artifacts humans relied on. Automated detection tools that analyze statistical patterns invisible to the human eye are now the most reliable way to verify image authenticity.
Simple, Credit-Based Pricing
Pay only for what you use. No subscriptions, no hidden fees.
Starter
50 image checks
- No subscription required
- Credits never expire
- Results in seconds
- Detailed confidence scores
Professional
150 image checks
- No subscription required
- Credits never expire
- Results in seconds
- Detailed confidence scores
Business
500 image checks
- No subscription required
- Credits never expire
- Results in seconds
- Detailed confidence scores
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