I’ve been looking into AI image detectors lately because AI-generated images are getting way too realistic now, and it’s honestly harder to tell what’s real or not just by looking. At first, I didn’t really trust these tools. They’re still not perfect, sometimes they miss obvious things, and other times they flag normal images. So it’s easy to think they’re unreliable. But I also get why people are starting to use them more, especially in situations like checking product photos in online selling or reviewing images in customer claims where you actually need some form of verification. One thing I’ve realized is that these tools don’t really feel “one size fits all.” What doesn’t work for some people might actually be helpful for others, depending on how they use it. In my case, I’ve found them useful as a support tool, not something to fully trust, but something that adds an extra layer before making a decision. I’ve tried a few like TruthScan, Hive Moderation, and Sightengine. They’ve stood out a bit for me because it feels more detailed compared to a simple “real or fake” result, more like it’s meant for deeper checking rather than just quick scanning. Still exploring it, and I’m not fully dependent on any of them. Just curious how others are using these tools in real situations, are they actually becoming reliable enough, or still just support tools at this stage? submitted by /u/eggshell_0202
Originally posted by u/eggshell_0202 on r/ArtificialInteligence
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