How the AI Image Detector Works
This AI image detector runs entirely in your browser — no image is ever uploaded to a server. When you drop an image, the tool inspects the file on two levels. First, it reads embedded EXIF metadata looking for known AI generation software signatures from tools like Midjourney, DALL-E, Stable Diffusion, Adobe Firefly, and others. Second, it analyzes pixel-level patterns including color distribution uniformity, noise characteristics, and compression artifact signatures that are statistically more common in AI-generated images than in real photographs captured by a camera.
What Does the AI Detector Check?
- EXIF metadata: Software, Creator, CreatorTool, and XMP fields that AI generators embed automatically in output files
- Color distribution: AI generators tend to produce unnaturally smooth gradients and overly uniform color zones compared to real photos
- Noise patterns: Real camera photos have natural sensor noise; AI images often have synthetic or absent noise in specific regions
- Compression artifacts: AI images saved from generation platforms often show distinctive artifact patterns at pixel level
- Generator signatures: Explicit metadata from Midjourney, DALL-E, Stable Diffusion, Firefly, Flux, Kandinsky, and 20+ other tools
Limitations of AI Detection
Browser-based AI detection gives you a directional result — not a forensic verdict. If a user strips metadata from an AI image before sharing, the detector loses its strongest signal. Highly compressed, cropped, or heavily edited AI images may return uncertain results. For high-stakes decisions such as journalism verification or legal proceedings, professional tools like Hive Moderation or Content at Scale exist for that purpose. Our tool is best used as a fast, private first-pass check for everyday content moderation and social media review.
How to Tell if an Image Is AI-Generated: A Manual Checklist
No single sign proves an image is AI-generated, and newer generators keep fixing the old giveaways. Still, a quick manual check alongside the detector helps:
- Hands and fingers: extra, missing or fused fingers and odd joints.
- Text and signs: garbled letters, nonsense words or inconsistent fonts on signs, labels and clothing.
- Lighting and shadows: shadows or reflections that point in different directions.
- Repeating or melting details: patterned backgrounds, fences, tiles or hair that blur into each other.
- Small details: mismatched earrings, glasses that merge into the face, uneven teeth.
- Overly smooth texture: skin or surfaces with a plastic, airbrushed look.
- Source and context: run a reverse image search to see where else the picture appears and who posted it first.
Treat these as hints, not proof. Real photos can show some of them too, especially after heavy editing or compression.
Why Metadata Is Often Missing
Many apps and social platforms re-encode images when you upload or share them, and screenshots do not carry the original file data at all. When that happens the detector has nothing to read from the metadata and falls back to pixel patterns, which is a weaker signal. Some tools embed provenance information such as C2PA Content Credentials, but support varies and it can be removed. Read more in our guides to AI image metadata and Content Credentials and how accurate AI image detectors really are.
What to Do With the Result
- Treat the result as one signal, not a verdict.
- If the answer matters, ask the sender for the original file and where it came from.
- Combine the detector with a reverse image search and the checklist above.
- If you publish AI images yourself, labeling them clearly avoids confusion. You can also compress AI-generated images before using them on your site.
Frequently Asked Questions
How can I check if a photo is AI generated for free?
Upload the photo to the detector. It reads the file's metadata for AI tool signatures and analyzes pixel patterns, then shows an estimate. It is free, needs no signup and runs in your browser. Treat the result as one signal, because stripped metadata or heavy editing can hide AI images.
Is there a free AI photo detector that does not need signup?
Yes. This detector is free, has no signup, and works on JPG, PNG and WebP files. No detector is perfectly accurate, so use it together with the manual checklist on this page and the image's original source.
Is this AI detector 100% accurate?
No. Browser-based analysis gives a directional result, not a guarantee. Accuracy is highest on uncompressed original files with full EXIF metadata intact. Images that have been resaved, cropped, or had metadata stripped will produce less certain results.
What image formats does the AI detector support?
JPG, PNG, and WebP are fully supported. For best results, use the original uncompressed file directly from the AI generator or camera before any editing or re-export.
Does the AI detector upload my image?
No. All analysis runs entirely in your browser. Your image is never sent to any server and never leaves your device. This is the same privacy-first approach used across all TinyPNG Now tools.
Can it detect Midjourney, DALL-E, and Stable Diffusion images?
Yes. The detector specifically looks for metadata signatures from Midjourney, DALL-E, Stable Diffusion, Adobe Firefly, Flux, and other major AI generators. Detection is most reliable when original file metadata has not been stripped or modified.
Can the detector tell which AI tool made an image?
Only when the file metadata names the software, for example a generator signature in the EXIF or XMP fields. Without metadata it can only estimate from pixel patterns and cannot name the tool.
Does it work on screenshots?
Screenshots usually lose the original metadata, so only pixel-pattern analysis is left and the result is less certain. Use the original file whenever you have it.
Is my image uploaded anywhere?
No. The analysis runs in your browser and the image is not uploaded to a server.
Also need to compress or convert your images? Try TinyPNG Now's free image compressor — no upload, no signup required.