After every major disaster, the same three things flood social media: real photos from the wrong event, AI-generated scenes that never happened, and donation links attached to both. This guide covers four checks that take about two minutes, including reverse image search, metadata, Error Level Analysis, and vetting the charity separately from the photo. You will also learn which popular AI tells stopped working, and why a missing EXIF field proves nothing.
C2PA and SynthID both help you spot AI-generated images, but they work in completely different ways. This guide breaks down what Content Credentials and Google's invisible watermark each prove, where both quietly fail, and how to check an image in under a minute.
Error Level Analysis is great at catching edited photos, but can ELA detect AI images? I ran 10 AI-generated pictures through the scanner on this site and logged every verdict. Here's what it caught, what it missed, and the layer that actually did the work.
Fake product photos are everywhere now, from lightly edited stock shots to fully AI-generated scenes that never existed. This guide shows you how to spot them fast, using free tools and a handful of visual checks, so you know what you're really buying before you spend a cent.
Google has hidden an invisible marker inside more than 100 billion AI-generated images and videos, and since May 2026 it rides inside pictures from ChatGPT as well. This guide explains how the SynthID image watermark works, how to check any picture for it in under a minute, and the one result almost everyone reads backwards.
Every photo carries two hidden layers: the EXIF data your camera writes automatically, and the C2PA Content Credentials that can be cryptographically verified. This guide shows you how to read both in about ten minutes with free tools on any device, and what each layer really proves. It also covers the part most guides skip: what to do when the metadata is missing, faked, or quietly contradicting itself.
