One image. Multiple professional AI detectors.
See what multiple AI detection models find in your image, compare their signals, and get a clearer basis for judging where it came from.
Prepare up to 10 images
Upload any images you want to check. You can choose the type of analysis after preparation.
How It Works
Three simple steps to assess an image
Choose an image
Upload, paste, or import a JPG, PNG, or WebP image up to 10MB.
AI Analysis
Detection models analyze the image for patterns, artifacts, and statistical signals associated with AI generation.
Get Results
Compare model signals and a combined estimate, then review them alongside the image source and context.
Built for Professionals
Built for teams that need an additional image-review signal
Multi-detector verification
Deep Analyze checks the same image with multiple detection models, then shows every available provider result alongside the combined estimate.
Localized AI evidence
When Copyleaks returns a valid localization mask, detector.guru overlays the reported regions on the analyzed image. Not every result includes localized evidence.
Journalists & Media
Add an AI-image signal to your review process before publication. Use it alongside source checks and other evidence.
Content Creators
Review visual content with an additional probabilistic signal before making originality decisions.
Businesses
Review user-submitted images and marketing assets with an additional AI-image risk signal.
Educators
Support academic-integrity reviews without treating an automated score as a conclusive determination.
Why AI Image Detection Matters More Than Ever
Modern image generators can create convincing visuals, making source and provenance checks increasingly important.
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
Synthetic images of political candidates can mislead voters and complicate verification during fast-moving election coverage.
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 can be used to create fake social profiles, phishing campaigns, and romance scams.
Growing Volume
As image-generation tools become easier to use, more synthetic visuals appear alongside camera photos and edited media online.
The bottom line: Do not rely on appearance alone. Detection scores are most useful when combined with source, metadata, provenance, and contextual review.
How to Tell AI Images From Reality
Visual and automated checks can both be wrong. Understanding possible signs of AI generation helps you ask better questions and combine multiple sources of evidence.
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
Camera photos may include EXIF metadata such as device or exposure details, while generated or edited files may omit or replace it. Metadata can also be stripped from real photos, so its absence is only one clue.
Frequency Domain Signatures
Frequency analysis can reveal spectral patterns associated with some generation or processing methods. These patterns vary by model and editing history and should not be treated as definitive on their own.
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
Visual artifacts change as generation and editing tools evolve. Combine automated estimates with the image source, metadata, provenance, and contextual review instead of relying on a single sign or score.
Simple, Credit-Based Pricing
Pay only for what you use. Choose any amount from 1-100 checks after signup.
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Single image check
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- Detailed confidence scores
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Frequently Asked Questions
Everything you need to know about detector.guru