Free AI Image Detector

Why Choose DeepFake Check?

Built for truth-seekers who need fast, reliable, and private deepfake detection.

Advanced AI Technology

Our multi-layered detection engine analyzes subtle artifacts invisible to the human eye.

Frequently Asked Questions

AI Image Detector — Is This Photo AI-Generated?

DeepFakeCheck's AI image detector helps you verify whether a photo was created by a human or generated by an AI model such as Midjourney, DALL·E 3, Stable Diffusion, Flux, or Adobe Firefly. Upload any JPG, PNG, or WebP file (up to 50 MB) and get a confidence score in roughly five seconds. There is no signup, no upload limit, and your file is deleted from our servers right after analysis.

How AI image detection works here

We use a three-layer pipeline that combines signal-based forensics with a vision language model. Each layer catches a different class of AI-generated images:

• Metadata & C2PA inspection. Many AI tools embed provenance hints in EXIF or XMP — Adobe Firefly, OpenAI DALL·E, and Google Imagen all write some form of signature. If we find a strong provenance marker, we flag the image immediately and skip the costlier model passes.
• Pixel-level artifact analysis. Our vision model looks for the telltale residue diffusion models leave behind: GAN-style frequency patterns, unnatural skin texture, melted accessories, asymmetric earrings, six fingers, lighting that disagrees with shadows, and reflections that do not match the scene.
• Compositional reasoning. The model also evaluates whether the image as a whole "makes sense" — physically implausible compositions are a common giveaway for Midjourney and Sora.

What kinds of AI images we can detect

The detector is trained against the major consumer generators in active use as of 2026: Midjourney v6 and v7, DALL·E 3, Stable Diffusion XL and 3, Flux Pro, Adobe Firefly 3, Imagen 3, Ideogram, Recraft, and the image output of Sora. We also catch AI-edited photos (inpainted faces, AI-extended backgrounds) and screenshots of AI-generated images that were re-uploaded after compression.

Common use cases for the image detector

• Journalists and fact-checkers verifying whether a viral photo on X or Telegram is real before publishing.
• Recruiters and HR teams screening profile photos for AI-generated headshots used in fake applications.
• Online dating users checking whether a match's photos look too perfect — AI-generated faces are now a common catfishing tool.
• E-commerce trust and safety teams spotting AI-generated product images uploaded by sellers.
• Educators and students distinguishing real reference images from AI-generated illustrations in research and assignments.

Image detection FAQ

How accurate is the AI image detector? Independent testing puts our accuracy at roughly 92–95% on uncompressed images from the major generators. Accuracy drops on heavily compressed, screenshotted, or photographed-from-a-screen images — the same is true for every detector on the market. No tool is 100% accurate; always combine the verdict with your own judgment.

Can it detect AI face swaps in photos? Yes. Face-swap artifacts (mismatched lighting on the face vs. body, blurred edges around the jawline) are flagged by our pixel-level pass.

Does it work on screenshots? It works on screenshots, but the signal is weaker. If you have the original file, use that instead — uncompressed PNG or original JPEG gives the best result.

Will my image be stored? No. The image is processed in memory and deleted as soon as the analysis returns. We do not train any model on user uploads.

How is this different from AI or Not or Illuminarty? We support all four media types (image, video, audio, text) in one tool with no daily limit, and we include C2PA / metadata provenance checks on top of pixel analysis — both other tools focus on images only and rely on pixel signal alone.