Deepfake Image Detector
Identify AI-generated and manipulated images in a click.
Catch deepfake images in under 60 seconds. Upload JPG, PNG, WEBP files up to 200 MB for a free, AI-powered analysis that quickly flags AI-generated and manipulated stills.
By uploading a file you agree to the Terms of Service and Privacy Policy.
One scan for every kind of fake photo or altered image.
Where a manipulated or AI-generated still causes real damage.
Profile pictures
Spot AI-generated faces and altered profile images used by fake accounts and impersonators.
Fake documents
Catch AI-altered credentials and forged documents before you act on them.
Visual evidence
Verify photos used as evidence to guard against misinformation and misleading claims.
Identity documents
Check ID images for suspicious alterations that could compromise verification.
Product images
Confirm the authenticity of product images and protect shoppers from misleading listings.
Three steps from file to verdict.
Upload image
Provide any suspicious image in JPG, PNG, WEBP format, up to 200 MB. Agree to the terms and get a verdict in under a minute.
AI analysis
The photo detector scans your image at a deeper level for synthetic markers.
- Pixel
- Pixel-level artifacts and compression inconsistencies
- Regions
- Suspect regions and manipulation boundaries
- Generators
- Fingerprints matched against Midjourney, DALL-E, Stable Diffusion, and more
Get instant results
A verdict with a suspect-region overview, a signal-by-signal report, and a confidence score.
Likely Synthetic (High) means a strong signal that warrants a hold. Likely Synthetic (Low) suggests reviewing a higher-quality file. Real (no AI) means no AI markers were found.
Who uses the deepfake image detector.
Six teams that verify an image before they trust what it shows.
Online platforms & moderation teams
Filter harmful AI-generated content to maintain community standards and slow the spread of deceptive imagery.
E-commerce & marketplaces
Protect customers by verifying the authenticity of product listings and reducing visual scams.
Researchers & educators
Support academic research and teach digital-literacy skills with a fast, accessible detection tool.
Banks & financial institutions
Strengthen KYC and identity checks by spotting synthetic photos submitted during onboarding.
Enterprise security teams
Verify suspicious attachments and profile images before they reach your secure networks.
Legal teams, news & media
Uphold editorial and evidentiary integrity by verifying user-generated content before publishing or legal use.
Why this detection matters.
AI-generated images are convincing enough to pass for real, and they are turning up in fraud, scams, and fake claims.
Consumers reported losing $2.95 billion to imposter scams in 2024, the second highest fraud category by reported losses that year. Many of those scams lean on synthetic faces and fabricated visuals to build trust.
Fraudsters stole photos of a Malaysian influencer to run a fake crypto scheme that cost one victim a year of wages. On e-commerce platforms, others used AI-generated images of damaged goods to file false refund claims. When the image is fake, the story built on it usually is too.
Know what is real before you trust it.
Why use the Diopter deepfake image detector.
Fast, secure, and tuned to the way synthetic media actually fails.
Fast image analysis
A clear verdict in about 60 seconds, so you get the answer you need without waiting.
Secure image processing
Every image you upload is handled with secure end-to-end processing to keep your data private.
Advanced synthetic-image detection
The detector specializes in AI-generated and manipulated stills, surfacing subtle artifacts the eye cannot see.
Trained against the tools attackers actually use.
Retrained against updated generator outputs before a new model reaches widespread deployment.
Explore other deepfake detection tools.
Same detection stack, tuned for each kind of media.
Deepfake Video Detector
Spot face swaps and AI-generated video by analyzing facial geometry, lip-sync, blink patterns, and motion artifacts.
Analyze videoDeepfake Audio Detector
Detect cloned voices and synthetic speech by evaluating pitch, formants, and spectral patterns against known AI signatures.
Analyze audioDeepfake Image Detector FAQ.
It evaluates pixel-level artifacts and generator fingerprints to identify synthetic or manipulated stills, comparing an image's signature against known AI patterns to separate authentic images from AI-generated ones.
Yes. The free tool verifies individual images. For enterprise needs, the full Diopter platform offers detection APIs that integrate with your systems to analyze and verify images, video, and audio automatically.
JPG, PNG, WEBP, up to 200 MB. Upload profile pictures, documents, product images, or other visuals and get a detailed analysis in seconds.
About 60 seconds. The processing stack returns a detailed, signal-by-signal breakdown quickly so you can verify the image and act.
Yes. Your first image scan is free. Upload a supported image, run the analysis, and review the result. Sign up for the signal-by-signal breakdown and expert review.
Research behind image deepfake detection
All research →What is a deepfake
Learn how deepfake technology enables fraud, impersonation, and identity attacks, and how security teams detect and prevent these emerging threats.
Deepfake Detection Methods
How deepfake detection actually works: six method families, what each catches, where each fails, and why your stack needs all of them.
Top Strategies to Enhance Enterprise Deepfake Prevention
Deepfake fraud is hitting enterprise finance and HR teams. Learn how attacks work, why security stacks miss them, and how to build a prevention program.
Verify images at scale across your systems.
This detector is part of the Diopter platform, which offers detection APIs to automatically verify images, video, and audio inside your existing workflows.