1. Scan
Capture a guided frame of the watch face and case details with real-time prompts for angle and lighting.
Scan a watch. Read its signals. Estimate if it is real or fake.
Scan in seconds. Get a clear confidence score before you buy, sell, or trade.
Fast camera workflow
Confidence score + factors
Built for collectors
Interactive AI Scan Demo
Idle
Live Scan Detected
No watch analyzed yet.
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Authenticity Factors
- Choose a watch image to generate factor analysis.
Risk Guidance
Awaiting analysis
Tap a watch image above. The report appears progressively as the scan completes.
How It Works
A watch authentication flow that feels instant
The product is built around three high-speed actions that mirror how collectors inspect a watch.
2. Analyze
WatchRadar extracts visual cues and compares them against expected patterns for reference and production style.
3. Decide
Get a confidence score plus factor-level explanation, then decide whether to proceed, request more evidence, or walk away.
Authenticity Radar
Signal-by-signal scoring, not a black box
WatchRadar breaks confidence into explainable factors so you can understand why a watch trends toward authentic or suspicious.
Dial text alignment and kerningStrong match
Bezel marker spacing and depthModerate match
Hand finishing and edge shapeStrong match
Case engraving sharpnessReview needed
Important: WatchRadar provides a probability estimate. It does not replace independent professional authentication.
Feature Stack
Built for enthusiasts, resellers, and careful buyers
Clear outputs and fast loops for real-world decisions when authenticity matters.
Camera-first UX
No clutter. Open app, frame watch, scan, review. The entire flow is optimized for one-handed iPhone usage.
Reference-aware detection
Model and reference hints are paired with known style cues to increase confidence quality.
Evidence-led results
You see which attributes pushed confidence up or down instead of only receiving a single opaque score.
Private by design
Watch scans are handled with a privacy-first approach. See details on data handling in the privacy page.
Trust Layer
Designed to reduce costly mistakes
WatchRadar supports your due diligence, especially before high-value purchases.
Risk bands, not guesswork
Results are grouped into confidence tiers with clear next actions so you can move deliberately.
Clear caveats
The app explicitly highlights when additional evidence is required, including movement and paperwork checks.
Built for iPhone
The product is iOS-only and tuned for Apple camera, performance, and interaction standards.
Reference context
Confidence is backed by reference-specific visual context, so the score reflects model details rather than generic image matching.
FAQ
Quick answers before you download
If you need more, the support page is linked in the header and footer.
No. WatchRadar provides a confidence-based estimate from visible signals. For legal or high-value verification, always use certified professional authentication.
You get a score plus factor-level notes such as dial typography alignment, bezel marker behavior, case finishing cues, and other visual consistency checks.
No. WatchRadar is currently iPhone-only.
Go to the Support page for contact details and troubleshooting steps.
Bring confidence to every watch you scan
Use WatchRadar before you buy, list, or trade. Fast iPhone scanning with authenticity-focused guidance.
Get WatchRadar on iOS