FakeScan checks photos, text, and news for AI-generated content. Spot catfish profiles. Surface stolen art and recycled images. Verify the news in front of you. One tap. Built for iPhone.
Open the camera roll, paste a paragraph, drop a link. FakeScan returns a verdict with the receipts.
Detects diffusion + GAN signatures, deepfake faces, manipulated regions. Cross-indexed against six reverse-image engines: spot stolen art, recycled profile pics, and catfish photos that have lived elsewhere on the internet.
Sentence-level AI-writing detection. Token entropy, perplexity, stylometric drift, and cadence fingerprinting. Works on essays, DMs, dating bios, fake reviews, phishing emails.
Drop a URL or a screenshot. FakeScan traces the article back to its primary source, surfaces reputable mirrors, and flags rewritten or AI-translated propaganda copy. Headline + image + body cross-checked.
Every scan looks for these. The pattern recognition is the product.
"Three tinder profiles in a row. Two flagged. The third matched a stock photo seller in Belgrade. I deleted the app the next morning."
Forty seconds to install. One tap to scan. The verdict stays with you.
