Free AI Image Detector - Spot AI-Generated & Manipulated PhotosBETA

It estimates whether an image looks AI-generated or AI-modified by analyzing visual signals like textures, edges, lighting consistency, and compression artifacts. It's a confidence signal, not a courtroom proof.

Accuracy depends far more on the file than on the tool. On an original, unedited file we are often decisive, because provenance and metadata evidence is still intact. On a screenshot or a re-compressed social-media copy, the signals detection relies on are largely destroyed. In that case we widen the score toward 50% and flag low confidence rather than guessing. No AI image detector, ours included, is reliable enough to be treated as proof, so use it as one signal among several.

Yes. After analysis we render a region heatmap over your image, built from the per-block noise-variance map the forensics engine actually computed. Brighter regions are where local noise statistics depart most from the rest of the frame, which is what a localized edit or inpaint typically leaves behind. The overlay is generated from your file. It is never a decorative or illustrative graphic.

We accept common formats like JPG/JPEG, PNG, and WebP, up to 10MB. Analysis runs entirely in your browser, so larger images are processed on your device - not uploaded to a server.

This tool provides a confidence score based on technical analysis, but it should not be considered absolute proof in legal contexts. Always consult forensic experts and use multiple verification methods for legal cases.

AI-generated images are created entirely by AI (like Midjourney or DALL-E). AI-edited images start as real photos but have parts modified by AI (inpainting, object removal, face swaps). Our detector can flag both types.

Screenshots can be detected, but they introduce compression artifacts that may affect accuracy. If possible, upload the original image file for best results.

Heavy compression, aggressive filters, screenshots, upscaling, and strong denoising can resemble AI artifacts. For best results, upload the original image file at the highest quality you have.

Small AI edits, low resolution, or re-encoding can remove or hide detection signals. Subtle inpainting can also be harder to catch, especially after multiple compressions.

Two ways. When a file still carries traces, we name the generator directly. Midjourney, DALL·E, Stable Diffusion, Adobe Firefly, Ideogram, Flux and similar tools leave their name or their generation parameters (sampler, CFG scale, steps, seed) in EXIF, XMP, or PNG text chunks. When those traces are gone, we fall back to generator-agnostic pixel and frequency analysis, which looks for artifacts common to diffusion models and GANs rather than for one specific product.

We check C2PA, not SynthID. GPTOne scans the raw bytes for C2PA Content Credentials, the tamper-evident provenance manifest attached by Adobe, OpenAI, and a growing number of camera makers, and reads IPTC DigitalSourceType fields that declare synthetic media. A hard provenance signal overrides our pixel analysis instead of being averaged into it. Google SynthID is a different mechanism: it is an invisible watermark that only Google's own verifier can read, so no third-party tool, including this one, can honestly claim to decode it. Note that all provenance data is stripped by screenshots and most re-uploads, which is why pixel analysis still matters.

Yes. GPTOne is a free AI photo checker that runs in your browser with no account required. Upload an image and get a confidence score plus a region heatmap in seconds, so you can quickly check whether a photo is AI generated.

Yes, and it is the same engine throughout. There is no cut-down free tier: the region heatmap, C2PA and IPTC provenance checks, generator fingerprinting, the full signal breakdown and the downloadable report are all available without paying and without an account. Free visitors get one scan per day, which is the only limit. Paid plans exist for people who need volume rather than extra features, so the detection you get for free is the detection we ship.

Be skeptical of the headline numbers. Vendors quote figures like 98% or 99%+ from their own internal test sets, and independent testing consistently finds real-world accuracy lands lower and varies enormously by which generator produced the image. Every detector performs worst on models released after it was last updated. There is no detector that is reliably accurate across all generators, so the practical answer is to check a file in more than one tool, weight provenance evidence above pixel guesswork, and distrust any tool that reports high confidence on a screenshot.

Most do. They are API products, so the file is transmitted, processed remotely, and retained for at least as long as the request takes. That matters if you are checking an ID document, a legal exhibit, an insurance claim, or a private photo. GPTOne is built differently: metadata parsing, forensic analysis, and heatmap rendering all execute in your browser, so the image never leaves your device and there is nothing on our side to store or leak.

The differences that matter in practice: the analysis runs on your device rather than on our servers, you get one free scan a day with no account, the region heatmap is included rather than gated behind a paid plan, and we read C2PA provenance and tell you when it decided the verdict. We also report low confidence instead of a confident-looking number when a file has been stripped and recompressed. See the comparison table on this page for a criteria-by-criteria breakdown against Hive Moderation, AI or Not, DeepAI, Illuminarty, Sightengine, and TruthScan.

This tool is designed specifically for AI-generated content. Traditional Photoshop edits (manual retouching, color adjustments) are different from AI generation and may not be detected. We focus on diffusion models and neural network artifacts.

Yes. Deepfake detection and AI-generated portraits are common use cases. The detector analyzes facial symmetry, lighting, skin texture, and other signals that often reveal AI generation.

GANs (Generative Adversarial Networks) are included in our training data. The detector can identify common GAN artifacts like checkerboard patterns, texture repetition, and boundary inconsistencies.

If you believe the detector made an error, you can contact our support team through the main website. Include the image (if shareable) and context. This feedback helps us improve the model.

Yes! We offer an API for developers. Contact us through the main site for API documentation, rate limits, and enterprise pricing.

No. The detection runs entirely in your browser, so your image is never uploaded to or stored on our servers. It stays on your device, and we accept files up to 10MB.