JPEG does not just shrink a photo, it rewrites it in 8x8 blocks and rounds away detail in a pattern you can measure. This guide explains the five steps behind every save, why an edited region ends up with a different compression history than its surroundings, and how to read that difference without jumping to conclusions.
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.