The checker runs in your browser. Your selected image is not uploaded by this static site.
AI picture detector — try it now
Check AI-generated image signals before you trust a picture.
Drop a picture below. This reads embedded PNG/JPEG metadata for real generator signatures (Stable Diffusion, ComfyUI, Midjourney, DALL·E, Firefly, NovelAI and others often write their name straight into the file), checks EXIF for camera data, and runs error-level analysis — all locally in your browser. Nothing is uploaded.
It parses PNG text chunks and JPEG EXIF for actual generator names and camera data — not a guess from file size.
Found metadata is strong evidence. Missing metadata proves nothing either way — it's stripped by most social platforms.
Create and edit with AI
Generate images with 5 AI models in parallel.
After you check whether an image looks AI-generated, you can also create your own visuals. MultipleChat AI lets you generate images across five AI models in parallel, compare the outputs side by side, and edit images with AI in one workspace.
5 models
Generate images in parallel
Run the same image prompt across multiple AI models, compare styles, realism and composition, then choose the strongest result.
EditEdit images with AI
Use AI image editing for changes, variations, cleanup, visual experiments and faster creative iteration.
WorkflowDetect, verify, then create
Use AIPicDetector for cautious review, then use MultipleChat AI when you want to make original images instead of guessing where an online image came from.
How detection works
AI image detection looks for patterns left by generation and editing.
Most AI picture detectors do not “recognize” a prompt or magically know who made an image. They compare the file against patterns learned from real camera images, AI-generated images and edited media. The result is a confidence signal, not proof.
Pixel-level texture
Classifiers inspect color transitions, edges, skin texture, repeated patterns and detail consistency. Generated images can have smooth or oddly dense texture where real cameras usually produce messier sensor detail.
Hidden frequency patterns
Some detectors look beyond visible details and analyze frequency-domain signals. Diffusion models, upscalers and compression can leave subtle statistical traces that are hard to see by eye.
Generation artifacts
Hands, teeth, text, logos, reflections, shadows, jewelry, eyeglasses and object boundaries are common review zones because generators often struggle with exact physical consistency.
Metadata and provenance
EXIF, C2PA credentials, editing software and timestamps can help, but social platforms often strip metadata. Missing metadata does not prove AI generation.
Classifier confidence
A detector usually returns a probability or confidence score. High confidence means “similar to known synthetic examples,” not “certainly fake.” Low confidence does not guarantee the image is real.
Why detectors fail
Cropping, screenshots, heavy JPEG compression, filters, inpainting, face swaps and new image models can confuse detectors. For important decisions, use more than one evidence type.
What to inspect
Common clues in AI-generated pictures.
No single clue is enough. A strong review looks for patterns across visual details, provenance and editing history.
Hands, teeth and small objects
Look for malformed fingers, odd jewelry, melted objects, inconsistent logos, unreadable labels and details that fall apart when zoomed in.
Lighting and reflections
Check whether shadows, mirrors, glasses, water and reflective surfaces agree with the scene and light direction.
Over-smooth or noisy areas
AI images can show plastic skin, strange background blur, repeated texture patterns or uneven detail density.
Source and first appearance
Find where the image first appeared, who posted it, whether other outlets used it, and whether a creator disclosed AI use.
Camera and edit history
Metadata may show camera model, software or timestamps, but many sites remove it. Missing metadata is not proof of AI.
Cropping and screenshots
Compression, screenshots, filters and social media resizing can hide or create detector signals. Review the original file when possible.
Free AI image detector websites
Places to try a second opinion.
These services offer a public upload flow, demo, free account or free-tier checks at the time of review. Limits and policies change, so check each site before uploading private, client, student or sensitive images.
Free demo
Sightengine AI Image Detector
Detects AI-generated images and deepfakes with a drag-and-drop interface, free sign-up credits, and API options for larger workflows.
Free toolsAI or Not
Checks images and other media types, with an upload interface and a free-tools section for AI detection and image tracking.
Guest checksWasItAI
Lets users upload an image and check whether it appears AI-generated, with guest usage and free monthly credits after sign-up.
Free tierIs It AI?
Offers image upload or URL analysis, free detections, confidence scores and claimed support for common generators.
Free checkerBrandWell AI Image Detector
Provides an upload or image URL checker that evaluates pixels, smoothness and other AI image patterns.
Free accessIlluminarty
Offers AI image detection and image-origin review features. Review its account limits and upload terms before using sensitive images.
Verification workflow
A safer way to decide if a picture is AI.
For serious use, combine detector-style signals with independent evidence. This is especially important for news, legal, academic, hiring, ecommerce and reputation-sensitive work.
Save the original
Use the highest-quality file you can find. Avoid judging only from a screenshot or thumbnail.
Check provenance
Search for earlier appearances, creator pages, captions, disclosure notes and archived versions.
Inspect details
Zoom into text, hands, edges, reflections, shadows, backgrounds and repeated patterns.
Compare evidence
Treat detector results as one signal alongside metadata, source reliability and visual review.
Detector limits
What AI picture detectors can and cannot do.
The best detector is a workflow. Automated classifiers are useful, but they are not a substitute for provenance and judgment.
| Question | Useful signal | Risk |
|---|---|---|
| Was this made by AI? | Classifier score, visual artifacts, generator metadata, disclosure. | False positives and false negatives are common after edits or compression. |
| Can I publish or share it? | Source rights, license, model disclosure, subject consent, brand safety. | A low AI score does not solve copyright, consent or misinformation risk. |
| Is this evidence? | Original file, chain of custody, corroborating sources, trusted uploader. | A detector screenshot is not strong evidence by itself. |
| Is this a product photo? | Seller history, reverse image search, consistency across photos, reviews. | AI-generated product images can misrepresent quality or features. |
Go deeper
More guides on this site.
Past the local checker, these cover the mechanics behind detection, verification and provenance in more depth.
Math
How AI image detection actually works
Classifier probability, Bayesian base-rate math, frequency analysis and the exact error-level analysis formula this site's checker runs.
MetadataPNG & JPEG metadata signatures
Exactly which chunks and EXIF fields AI generators embed, and how to read them yourself.
ProvenanceC2PA content credentials explained
How the signed manifest standard works, and what its absence does and doesn't tell you.
VerificationReverse image search guide
A step-by-step routine for finding an image's earliest source, with a worked investigation example.
TerminologyDeepfake vs. AI-generated image
Different techniques, different verification approaches — knowing which one you're looking at matters.
EcommerceSpotting AI product photos
A buyer's checklist and seller's guide for marketplace listing images.
Related AI sites
More practical AI checking and editing guides.
Use these related resources when your question moves from pictures to AI-written text, detector accuracy, humanizer tools, or broader free AI workflows.
AI text
DetectAIHumanizer.com
Guides for AI detectors, humanizer workflows and responsible text review.
Detector guideAIDetectorBypass.com
Explains detector limits, false positives and safer rewriting workflows for text.
ImagesFreeAIBypasser.com
Free AI tool guides, including image generator resources and detector context.
HumanizersTopAIHumanizer.com
Compares AI humanizer tools and editing workflows for text-based content.
ToolsHumanizerTools.com
A directory-style resource for writing, detector and humanizer tools.
DetectorsZeroGPTHumanizer.com
Additional detector comparisons and practical AI content review guidance.
FAQ
AI picture detection questions.
Short answers for anyone checking whether a photo, artwork, product image or profile picture might be AI-generated.
Can this prove an image is AI-generated?
No. It is a local signal checker and educational guide. Important decisions should use source checks, reverse image search, metadata, original files and human review.
Does the selected image upload anywhere?
No. The checker runs in your browser with JavaScript. It reads the file locally for preview and basic signals.
How do AI image detectors work?
They compare pixel patterns, frequency signals, artifacts, metadata and known generator signatures against examples from real and synthetic images. The output is a probability-style signal, not absolute proof.
What does this site's local checker actually check?
It reads PNG tEXt/iTXt/zTXt chunks and JPEG EXIF data for generator names that tools like Stable Diffusion (via Automatic1111/ComfyUI), Midjourney, DALL·E, Adobe Firefly and NovelAI often write directly into the file, checks for a camera Make/Model, and runs error-level analysis — a real recompression-diff technique — to visualize inconsistent editing history. If a generator's name is embedded, that is strong evidence. If nothing is embedded, that proves nothing either way, since most social platforms strip all of this on upload or re-share.
Which free AI image detector should I try?
For a second opinion, try public tools such as Sightengine, AI or Not, WasItAI, Is It AI, BrandWell or Illuminarty. Avoid uploading sensitive images unless you have checked the tool's privacy terms.
Why can AI image detectors be wrong?
Generated images can be edited to look photographic, and real images can be compressed, filtered or screenshotted until they look synthetic to a classifier.
What is the fastest manual check?
Use reverse image search, check the account or publisher, zoom into small details, and look for a credible original source or disclosure.
Can metadata prove an image is real?
Metadata can help, but it can be removed or edited. Treat it as one clue, not as final proof.