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DeepScan
Is that image real, or AI? Check in seconds.
DeepScan runs 11 forensic checks on any image - AI-generation, deepfake, manipulation, document tampering - and returns one trust score in seconds. No SDK, no install. We never store your image. Free to try
I built DeepScan because "is this image real or AI?" has quietly become impossible to answer. AI-generated images are everywhere now - feeds, dating profiles, marketplaces, group chats - and most of us are just guessing.
Drop in any image and it runs 11 independent forensic engines in parallel: AI-generation + deepfake detection, a vision-AI that reasons about whether the scene is even physically possible, plus classic forensics like error-level analysis, sensor-noise fingerprints, copy-move detection, and metadata checks. You get one trust score (0-100) and a breakdown of exactly what each engine found - in a few seconds.
A few things I cared about: 🔒 Your images are never stored - only a hash and the result ⚡ No app, no SDK, no signup to try your first check 🧠 It's a consensus of many signals, because no single detector is reliable on its own
Being honest about the edges (I'd rather you hear it from me): it's great at catching AI-generated images, and weaker on subtle Photoshop or forged physical IDs - those are real photos of fake things, which is a different problem entirely.
Would genuinely love your feedback - throw images at it that have fooled you, and tell me where it gets things wrong. I'm here all day. 🙏
About DeepScan on Product Hunt
“Is that image real, or AI? Check in seconds.”
DeepScan was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #146 on the daily leaderboard. DeepScan runs 11 forensic checks on any image - AI-generation, deepfake, manipulation, document tampering - and returns one trust score in seconds. No SDK, no install. We never store your image. Free to try
On the analytics side, DeepScan competes within Privacy, Artificial Intelligence, Security and Vercel Day — topics that collectively have 487k followers on Product Hunt. The dashboard above tracks how DeepScan performed against the three products that launched closest to it on the same day.
Who hunted DeepScan?
DeepScan was hunted by Naveen Rowthula. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of DeepScan including community comment highlights and product details, visit the product overview.
Naveen Rowthula
Hey Product Hunt! 👋
I built DeepScan because "is this image real or AI?" has quietly become impossible to answer. AI-generated images are everywhere now - feeds, dating profiles, marketplaces, group chats - and most of us are just guessing.
Drop in any image and it runs 11 independent forensic engines in parallel: AI-generation + deepfake detection, a vision-AI that reasons about whether the scene is even physically possible, plus classic forensics like error-level analysis, sensor-noise fingerprints, copy-move detection, and metadata checks. You get one trust score (0-100) and a breakdown of exactly what each engine found - in a few seconds.
A few things I cared about:
🔒 Your images are never stored - only a hash and the result
⚡ No app, no SDK, no signup to try your first check
🧠 It's a consensus of many signals, because no single detector is reliable on its own
Being honest about the edges (I'd rather you hear it from me): it's great at catching AI-generated images, and weaker on subtle Photoshop or forged physical IDs - those are real photos of fake things, which is a different problem entirely.
Would genuinely love your feedback - throw images at it that have fooled you, and tell me where it gets things wrong. I'm here all day. 🙏