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Shufti catches AI-generated faces, face swaps, synthetic identities and document deepfakes using 40+ ensemble models, not basic image scanning. - Reads skin texture, motion, lighting and depth irregularities - Detects the digital fingerprints unique to AI generators - Holds accuracy after compression, screenshots and stripped metadata - Three layers: capture integrity, liveness, forensics - Catches AI-generated IDs and splicing that OCR misses iBeta Level 3 conformance, 0% APCER and 0% BPCER.
AI-generated faces, face swaps, and synthetic identities are becoming harder to distinguish from genuine users. Checking whether an image simply looks real isn't always enough, especially when manipulated content can pass basic image and OCR checks.
We built Shufti Deepfake Detection to look beyond the surface and identify signals that can reveal AI-generated or manipulated identities.
40+ Ensemble Models Combine multiple detection models instead of relying on a single image-scanning approach.
Look Beyond the Image Analyze signals such as skin texture, motion, lighting, and depth irregularities that can indicate manipulation.
Detect AI Fingerprints Identify digital patterns associated with AI-generated content and synthetic faces.
Resilient to Compression Detection remains effective when images or videos have been compressed, screenshotted, or stripped of metadata.
Three Detection Layers Combine capture integrity, liveness, and forensic analysis to examine different parts of the verification process.
Catch What OCR Can Miss Detect AI-generated IDs, document manipulation, and splicing that may not be visible through text extraction alone.
Built for Identity Verification
Deepfake Detection works as part of the wider identity verification process, helping teams identify manipulated faces and documents before they become part of a customer journey.
Shufti Deepfake Detection has iBeta Level 3 conformance and reports 0% APCER and 0% BPCER under the relevant evaluation conditions.
Who is it for?
Shufti Deepfake Detection is built for banks, fintechs, marketplaces, regulated businesses, and fraud teams that need to detect synthetic identities and manipulated verification attempts.
As AI-generated fraud becomes more accessible, we'd love to hear from the community: what do you think will be the hardest deepfake attack to detect over the next few years?
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About Deepfake Detection on Product Hunt
“Catch the deepfake before it becomes a customer”
Deepfake Detection was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #62 on the daily leaderboard. Shufti catches AI-generated faces, face swaps, synthetic identities and document deepfakes using 40+ ensemble models, not basic image scanning. - Reads skin texture, motion, lighting and depth irregularities - Detects the digital fingerprints unique to AI generators - Holds accuracy after compression, screenshots and stripped metadata - Three layers: capture integrity, liveness, forensics - Catches AI-generated IDs and splicing that OCR misses iBeta Level 3 conformance, 0% APCER and 0% BPCER.
Deepfake Detection was featured in Developer Tools (519.9k followers), Artificial Intelligence (479.2k followers) and Security (2.9k followers) on Product Hunt. Together, these topics include over 213.8k products, making this a competitive space to launch in.
Who hunted Deepfake Detection?
Deepfake Detection was hunted by Aroosa Virk. 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.
Want to see how Deepfake Detection stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Aroosa Virk
Hello Product Hunt!
I’m Aroosa Virk from Shufti, and I’m excited to introduce Shufti Deepfake Detection.
AI-generated faces, face swaps, and synthetic identities are becoming harder to distinguish from genuine users. Checking whether an image simply looks real isn't always enough, especially when manipulated content can pass basic image and OCR checks.
We built Shufti Deepfake Detection to look beyond the surface and identify signals that can reveal AI-generated or manipulated identities.
Why Shufti Deepfake Detection?
40+ Ensemble Models
Combine multiple detection models instead of relying on a single image-scanning approach.
Look Beyond the Image
Analyze signals such as skin texture, motion, lighting, and depth irregularities that can indicate manipulation.
Detect AI Fingerprints
Identify digital patterns associated with AI-generated content and synthetic faces.
Resilient to Compression
Detection remains effective when images or videos have been compressed, screenshotted, or stripped of metadata.
Three Detection Layers
Combine capture integrity, liveness, and forensic analysis to examine different parts of the verification process.
Catch What OCR Can Miss
Detect AI-generated IDs, document manipulation, and splicing that may not be visible through text extraction alone.
Built for Identity Verification
Deepfake Detection works as part of the wider identity verification process, helping teams identify manipulated faces and documents before they become part of a customer journey.
Shufti Deepfake Detection has iBeta Level 3 conformance and reports 0% APCER and 0% BPCER under the relevant evaluation conditions.
Who is it for?
Shufti Deepfake Detection is built for banks, fintechs, marketplaces, regulated businesses, and fraud teams that need to detect synthetic identities and manipulated verification attempts.
As AI-generated fraud becomes more accessible, we'd love to hear from the community: what do you think will be the hardest deepfake attack to detect over the next few years?
Shufti Deepfake Detection is live on Product Hunt. Give it a try and let us know what you think.