About Fake Image Detector

Our mission

Manipulated photos and AI-generated images now spread faster than they can be debunked. FakeImageDetector.com exists to give everyone, not just forensic specialists, a fast and free way to check an image before believing it or sharing it. Upload a picture and, within seconds, you get a forensic report you can actually understand.

What the tool does

Every image you scan passes through four independent forensic layers. Each layer looks for a different kind of evidence, and together they give a far more reliable picture than any single technique alone:

• AI detection. Machine-learning classifiers, including Local Binary Pattern Histogram (LBPH) models trained on curated datasets of authentic and manipulated images, look for the statistical patterns and synthetic artifacts that AI image generators tend to leave behind.
• Metadata analysis. The tool inspects EXIF data, embedded headers, timestamps, GPS fields, and software signatures. Editing software such as Photoshop or GIMP often leaves identifiable traces here.
• Error Level Analysis (ELA). By recompressing the image and comparing error levels across regions, ELA highlights areas whose compression history differs from the rest of the picture, a classic sign of splicing or retouching.
• Watermark and provenance detection. Where available, the tool checks for supported invisible AI watermarks and reads C2PA Content Credentials, the provenance standard adopted by major AI image generators and camera makers.

Our experience

Fake Image Detector has been online since 2020. It began as a focused ELA and metadata scanner and has grown, release by release, into the four-layer pipeline described above. Running a public detection tool for years has taught us where automated forensics shines and where it struggles, and that experience shapes both the analysis engine and the plain-language reports it produces.

How we build and maintain the detector

Our machine-learning models are trained on datasets of authentic and manipulated images that we curate and expand over time. As new AI generators appear and editing techniques evolve, we retrain and re-weight the models and adjust the pipeline. Detection quality is a moving target, so maintenance is continuous rather than occasional.

Honest limitations

No automated detector is perfect, and we would rather tell you that plainly than pretend otherwise. Sophisticated edits can evade individual techniques: metadata can be stripped, AI artifacts can be smoothed away, and watermarks only exist when a generator embeds them. Treat our results as strong signals to inform your own judgement, not as conclusive proof, and see our disclaimer for details on how to interpret them.

Editorial standards

Alongside the tool we publish a blog on image forensics, deepfakes, and digital authenticity. Articles are researched against how detection actually works in practice, written to be accurate without hype, and updated when techniques or standards change. If you spot an error in anything we publish, we want to hear about it.

Privacy by design

Every image you scan is analysed entirely in memory. Nothing is written to disk, stored on our servers, or used to train our models. The moment your result is generated, the image is discarded. There are no accounts, no sign-ups, and no personal information required to use the tool. Read the full details in our privacy policy.

How the site is funded

Fake Image Detector is free to use and is funded in two ways: advertising served through Google AdSense, and voluntary donations from users through Ko-fi. Neither ads nor donations influence analysis results, and we do not sell user data. Keeping the tool free matters to us: image verification should be available to everyone, not just newsrooms with forensic budgets. If the tool has helped you, supporting it on Ko-fi helps cover the cost of running and improving it.

Contact us

Questions, corrections, or feedback are always welcome. Email us at contact@fakeimagedetector.com, or reach us on X (Twitter) and Facebook. You can also visit our contact page.