Fake Photo Checker for Dating, Marketplace & Social

Manually edited photos are harder than fully generated ones, and how much harder depends on the edit: heavy compositing leaves far more to find than a subtle local adjustment. The tool returns a confidence score alongside the verdict, plus the individual findings behind it, so you can judge how much weight the result deserves.

It does. Social media platforms re-compress images when they are uploaded, which can reduce the effectiveness of some signals. Even so, the OpenAI and Google watermark is built to survive compression, though heavily compressed copies give weaker results. For the most accurate result, upload the original file when you have it.

Dating profile verification is one of the most common reasons people use FauxLens. Save the profile photo to your phone (long-press and save, or take a screenshot), then upload it. You will usually get a result within a few seconds. If the result is AI-Generated or Likely AI-Generated, the photo is very likely not of a real person, so treat the profile as suspect.

Your photo is deleted once the analysis finishes, and it is never used to train AI models. Being precise about the rest: some derived data does persist where the product needs it: the result itself, the payload behind a report you choose to share, and billing records. So this is not a blanket zero-retention claim. The image you uploaded is not kept.

Not by link: FauxLens checks the file itself. Save the photo to your phone (long-press, Save image, or take a screenshot), then upload it. A screenshot works, but the original file gives a stronger result, because every re-save and screenshot throws away some of what the scan reads.

Save the LinkedIn profile photo, then upload it to FauxLens. AI-generated LinkedIn profile photos are increasingly used in business email compromise scams and fake recruiter outreach. Signs to watch for alongside the forensic check: the photo looks like a professional headshot but the profile was created recently, has very few connections, and is reaching out about unusual financial opportunities.

Yes. Save the photo from WhatsApp to your phone's photo library, then upload it to FauxLens. WhatsApp compresses images during transmission, which weakens the result, and photos forwarded many times are harder still. The check still runs, but ask for the original file when the answer matters.

Using a fake AI-generated photo to deceive someone for financial gain is fraud, which is illegal regardless of jurisdiction. Using a fake photo on a dating app may violate the platform's terms of service. Using AI-generated images to impersonate a real person can constitute identity fraud or defamation depending on the context and jurisdiction. Using AI-generated images in political advertising without disclosure is increasingly regulated by law in multiple US states.

No AI Detected means none of the checks found signs of AI generation. It is a positive result. However, it does not guarantee that the person or situation in the photo is what it appears to be. A real, unedited photograph can still be used deceptively, for example, a real photo of one person presented as belonging to someone else. If you still have concerns after a No AI Detected result, run a reverse image search to check if the photo appears under a different name or context elsewhere online.

The latest AI image generators, particularly Midjourney v6 and Flux.1 Pro, produce photorealistic images that routinely fool the human eye. Detection models still catch many of them, because generated pixels differ from camera output in ways that are hard to hide completely, though no detector catches every image. But adversarial techniques designed to suppress these artifacts do exist in research. FauxLens does not rely on the pixels alone: it also reads content credentials, metadata and the invisible watermark OpenAI and Google embed, so an image from their tools can still be identified when its pixels look clean. For high-stakes decisions, treat a confident AI-Generated result as reliable; treat a low-confidence result as inconclusive rather than negative.