AI or Not is an AI detector trusted by 100k+ users that checks for AI generated content in images, audio, KYC identity documents and more. We help businesses stop fraud, power content moderation and prevent KYC scams.
Hey Product Hunters 🚀
Every new technology has a positive and negative impact on the world; Generative AI is no different. AI or Not is here to protect you from being fooled by AI.
We’re on a mission to bring trust and authenticity back to the internet with AI detection. We detect if images have been AI generated and the exact model used to create them.
- Want to confirm that the image you’re seeing on X is real?
- Need to know if a profile picture of a new user is authentic?
- Have to verify users with identity documents?
Check with AI or Not!
Thanks for supporting & joining us on this journey!
I’ll be here all day. If you have any questions, just ask!
- Toly
This is an amazing product, congratulations on the launch Toly! I love how detailed your API documentation is. I was wondering, do you folks have text/blog detection as well?
@mkotsollaris Mene!!!! Appreciate it! We don't do text because we don't think it can be done accurately. We do image and audio AI detection today, KYC documents very soon and AI video detection later this year 🤫. Thanks for the support, hope all is well!!
Congratulations on the launch, Toly! AI or Not sounds like a game-changer in the fight against fraud and maintaining authenticity online.
I'm curious, how accurate is the AI detection in identifying the exact model used to create the AI-generated content?
Best of luck with AI or Not!
@mashy Thanks Albert for the support! In the wild, we get it right ~98% of the time.
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@mashy Was wondering the same thing, great question! Anatoly, was also curious about the false positive vs false negative rate? And wow 98% is impressive!
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Congrats on the launch! How does it maintain accuracy in its detection, and what measures are taken to keep the technology updated as AI-generated content becomes more sophisticated?
@anastasia_chakileva_ Thank you Anastasia for the support! We have monitoring in place that checks thousands of images on a weekly basis and tracks accuracy metrics. If we see degradation or find new models have launched, we train our detection models to catch those new instances.
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