8 min read
The Science of Deception: How AI Detection Works
A detailed guide to the digital forensics behind Faux Lens. From Error Level Analysis (ELA) and JPEG compression artifacts to Photo Response Non-Uniformity (PRNU).
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Author Profile
Netanel Ossi
Backend Engineering Manager at Fiverr & Founder of FauxLens
Netanel Ossi is a Backend Engineering Manager at Fiverr and the founder of Faux Lens. With deep expertise in distributed systems, security protocols, and backend architecture, he leads the development of advanced AI image detection and forensic analysis tools.
19 articles
Articles by Netanel Ossi
7 min read
5 Visual Tells: How to Spot an AI Image Without Tools
Before you run a scan, check these 5 common mistakes AI models make. From topology errors in hands to subsurface scattering fails in skin.
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10 min read
The Rise of Synthetic Identity Fraud: A 2026 Crisis
Scammers are using AI to create entire fake personas. From bypassing KYC checks to the 'Romance Scam' economy, learn how synthetic identities are reshaping fraud.
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6 min read
Ethics in AI Forensics: Why We Don't Keep Your Data
Most tools in this space keep your uploads. FauxLens does not. We operate on a 'Zero-Retention' policy. Understand why we delete your data immediately after analysis.
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9 min read
Can You Tell the Difference? Midjourney vs DALL-E vs Real Photos [Forensic Test]
A technical showdown between the major AI engines. We analyze the specific 'digital fingerprints' left by Midjourney v6, DALL-E 3, and Stable Diffusion.
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11 min read
Deepfakes in 2026: What They Are, Why They're Dangerous, and How to Spot Them
The word 'deepfake' entered mainstream vocabulary. But most people still don't fully understand what it means or how dangerous it's become. This guide covers everything: the technology, the harms, and the detection.
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9 min read
The Journalist's Toolkit: How to Verify Any Photo Is Real in 2026
AI-generated images are flooding newsrooms. Here is the step-by-step verification workflow used by digital forensics professionals and investigative journalists to separate real from synthetic.
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13 min read
Sora, Veo 3, and Kling: How to Detect AI-Generated Video in 2026
AI video generation has crossed a threshold. Sora, Veo 3 and Kling now produce clips the untrained eye cannot separate from real footage. Here is what forensic analysis can still find, why a re-encoded clip can look more authentic than the original, and where video detection genuinely fails.
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8 min read
Every AI Image Has a Hidden Fingerprint - Here's How Forensics Finds It
Every AI model leaves an invisible fingerprint in the images it generates. GAN fingerprints are the forensic equivalent of ballistic markings-unique to the weapon, invisible to the eye, detectable by science.
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7 min read
AI Detection Accuracy: What Confidence Scores Really Mean
When a detector says '97% AI-generated,' what does that actually mean? Understanding confidence scores, base rates, and the difference between a useful signal and a false certainty.
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8 min read
EXIF Metadata Explained: The Hidden Data Inside Every Photo
Every photo your camera takes contains a hidden layer of data: camera model, GPS coordinates, time of capture, and more. AI-generated images lack this layer entirely. Here's how to read it.
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9 min read
Romance Scam Warning Signs: A Visual Checklist for 2026
AI has made romance scammers more convincing than ever. FBI data shows over $1.3 billion lost annually. Here is the visual checklist every person on a dating platform needs before trusting a profile.
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8 min read
How Dating Apps Are Fighting AI-Generated Profile Photos
Tinder, Bumble, and Hinge are in an arms race against synthetic identity. From selfie verification to real-time liveness detection, here is what the platforms are doing, and what they're still missing.
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9 min read
C2PA: The New Global Standard for Content Authenticity
Adobe, Microsoft, OpenAI, Sony, and the BBC have united behind a single open standard for proving media authenticity. C2PA embeds cryptographic provenance into images and videos. Here is what it means for the future of truth.
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12 min read
Is This Image AI Generated? A Complete Step-by-Step Guide
You found a suspicious image. Now what? This step-by-step guide walks you through every method to determine whether a photo is real or AI-generated, from visual inspection to forensic analysis.
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10 min read
How to Detect Stable Diffusion Images: A Forensic Deep Dive
Stable Diffusion is open-source, infinitely customizable, and runs locally. That makes it the hardest AI model to detect. Here is how forensic analysis identifies SDXL and its fine-tuned variants.
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9 min read
How to Detect Flux AI Images: Black Forest Labs' Model Under the Forensic Lens
Flux is the newest player in AI image generation, producing photorealistic output that challenges existing detectors. Here is what makes Flux different and how forensic analysis identifies its output.
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11 min read
AI Image Detection API: A Developer's Integration Guide
Building a platform that needs to verify image authenticity? This technical guide covers API integration for AI image detection, from authentication to response handling to production deployment.
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9 min read
How to Tell if a Picture is Fake (5 Methods, Free Tools)
Not sure if a photo is real? This guide covers five proven methods to check if a picture is fake, from visual tells to forensic tools, with step-by-step instructions for each.
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