Free AI Image DetectorIs this image AI-generated?
Check if an image was made by AI such as Midjourney, DALL-E or Stable Diffusion. This free AI image detector runs 100% locally in your browser using an open-source Vision Transformer: no upload, no sign-up, no watermark.
- 100% private and local
- No image uploads
- Works offline
- Free, no limits
Drop an image here
or click to browse. JPG, PNG, or WebP.
Runs 100% locally in your browser.
Ready to scan
Upload an image and click Detect. The model runs entirely in your browser.
- Runs in your browser
- No upload
- No sign-up
- Open-source ViT model
- Works offline
What is an AI image detector?
An AI image detector is a classifier trained on real photos and AI-generated images. It looks for pixel-level patterns that diffusion models leave behind and returns a probability that an image is AI-generated. That is useful when an image from a social post, a profile or a marketplace looks too perfect to trust.
Most online detectors make you upload the image to their servers, often behind a sign-up. ToolDeck runs the model inside your browser, so personal photos and unreleased designs stay private. Working with text instead? Try the AI Text Detector. Want a cleaner or larger version of an image? Use the Image Upscaler or Image Compressor.
Important: no AI image detector is 100% accurate. Screenshots, compression and edits lower reliability, and real photos can occasionally be flagged. Use the result as one signal and verify the source.
How to check if an image is AI-generated in 3 steps
- 1
Upload your image
Drag and drop a JPG, PNG or WebP file. You can test AI art, photos or screenshots.
- 2
Let the model load
The first time, your browser downloads a 300MB Vision Transformer (ViT) model and caches it for future use.
- 3
Read the result
The model analyses pixel patterns and shows a probability score and confidence for whether the image is AI-generated or real.
Features of our free AI image detector
100% private
Your images may contain personal photos or confidential design assets. Because the model runs locally via WebAssembly, your images never leave your device.
Vision Transformer (ViT)
Uses a fine-tuned open-source ViT model from Hugging Face that looks for the pixel-level artifacts and structural inconsistencies diffusion models tend to leave.
Built for modern generators
Designed to flag images from diffusion-based generators such as Midjourney, DALL-E and Stable Diffusion, whose output often looks flawless to the human eye.
Fast analysis
Once the model is cached, analysing an image is quick and runs entirely on your own CPU or GPU.
Transparent confidence score
Shows the confidence percentage so you can judge how strongly the model leans, instead of a bare yes or no.
Works offline
After the first use you can disconnect from the internet and the detector keeps working.
Local AI image detector vs cloud-based detectors
Many AI image detectors send your picture to a remote server and limit free checks. A local detector keeps the image on your device. Cloud tools vary, so this is a general comparison.
| Feature | TToolDeck | Typical cloud detector |
|---|---|---|
| Image stays on your device | Yes | Usually not |
| No account or email required | Yes | Varies |
| Runs locally via WebAssembly (ONNX) | Yes | Usually not |
| Works offline after first load | Yes | Usually not |
| No daily limit or watermark | Yes | Varies |
| Cost | Free | Free tier or paid |
How to tell if an image is AI-generated without a tool
Use these checks together with the detector result. No single sign is conclusive.
Hands, teeth and ears
Extra or fused fingers, odd teeth and mismatched earrings are classic signs, though newer generators make these mistakes less often.
Text and signs
Garbled lettering on shirts, signs and book covers is still one of the most reliable giveaways.
Lighting and shadows
Look for shadows that point in different directions or reflections that do not match the scene.
Too-smooth skin and backgrounds
Waxy skin, melted background details and repeating patterns can indicate a generated image.
Reverse image search
Search the image on Google Lens or TinEye to see where it first appeared and whether a real source exists.
Check the source and metadata
Look for the original poster, Content Credentials (C2PA) and EXIF data. Missing metadata proves nothing on its own, since platforms strip it.
What people use an AI image checker for
Screening AI art
Art buyers, collectors and marketplaces can run a first-pass check on images sold as human-made.
Social media checks
Check whether a viral image or profile picture looks AI-generated before you share it.
Journalism and fact-checking
Screen submitted photos or social posts for signs of synthetic origin before deeper verification.
Profile photo checks
Check whether a dating or marketplace profile photo looks real or AI-generated.
Teachers and students
Check whether a submitted image or artwork looks AI-generated, as one signal alongside a conversation with the student.
Personal curiosity
Test your own AI generations and real photos to see how a detector reads them.
AI image detector FAQ
How do I check if an image is AI-generated?
Upload the image to the detector above. A Vision Transformer model running in your browser analyses the pixels and returns a probability and confidence score that the image is AI-generated or real. Treat the result as one signal and confirm it with the source and a reverse image search.
Is this AI image detector free?
Yes. It is free with no sign-up, no email, no watermark and no daily limit.
Are my images uploaded to a server?
No. ToolDeck uses Transformers.js and ONNX Runtime Web to download the vision model into your browser. Your image is processed locally and never leaves your device.
How accurate is this AI image detector?
Accuracy depends on the generator, the image quality and how the file was processed. Scores are strongest on clean, original files from known diffusion generators. Screenshots, heavy compression, filters and social media re-uploads remove the traces detectors rely on and lower reliability, so no detector, including this one, can give absolute proof.
Can it detect Midjourney, DALL-E and Stable Diffusion images?
It is designed to flag images from diffusion-based generators such as Midjourney, DALL-E and Stable Diffusion. Generators improve constantly, so newer versions and edited images can slip through. Use the confidence score as a strong hint, not a guarantee.
Why does it take so long the first time?
On first use your browser downloads the 300MB Vision Transformer model from Hugging Face. It is then cached in your browser, so later checks start almost instantly.
Why was my real photo flagged as AI?
False positives happen. Very smooth skin, shallow depth of field, beauty filters, phone portrait mode, heavy editing and upscaling can all look like AI output to a classifier. If a result surprises you, check the original file and its source.
Why was my AI image marked as real?
False negatives happen too. Screenshots, resizing, compression, added grain, and edits made after generation can hide the patterns the model looks for, and brand-new generators may not be recognised yet.
What does the confidence score mean?
It shows how strongly the model leans toward AI-generated or real for that image. A high score means the pixel patterns closely match what it learned from AI images. It is a probability, not proof of how the image was made.
Is there an image size limit?
You can upload any size. The model resizes images internally to 224x224 pixels for analysis, so extra resolution is not used for detection.
Does it check EXIF metadata or C2PA Content Credentials?
No. It analyses the pixels with a Vision Transformer. Metadata is easy to strip or fake, so it is not used for the verdict. If the file has Content Credentials, a separate metadata checker can give extra evidence.
Can it detect deepfakes or face swaps?
It is built to detect fully AI-generated images, not face swaps or edited real videos. Deepfake detection is a different task and needs specialised tools.
Which image formats are supported?
JPG, PNG and WebP. Use the original file when possible, because re-saved or screenshot copies are harder to judge.
Does it work on mobile and offline?
It works in modern mobile and desktop browsers. After the 300MB model is downloaded and cached, you can go offline and the detector will keep working.
Can AI image detectors be wrong?
Yes. Independent reviews of AI image detectors regularly find false positives and false negatives, and detection is an ongoing race against better generators. Never use one result alone to accuse someone or make an important decision.
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