On-device facial analysis for YouTube: FACS Action Units, expressions and microexpressions. Not a lie detector.
Users
5
+2 in 30 days
Rating
0.0 / 5
unchanged in 30 days
Ratings
0
0 in 30 days
Store rank
#262K
#219K among extensions
Version
0.1.0
updated 23 Jun 2026
Users
monthly, 4 months
Latest, 19 Oct 2026:5 usersMove the mouse over the chart for any month
Ratings count
monthly, 4 months
Latest, 19 Oct 2026:0 ratingsMove the mouse over the chart for any month
The Chrome Web Store rounds user counts down to the leading digit, so the user line moves in steps. The ratings count is exact and is the better signal of real adoption.
About AURA — Real-time facial analysis (YouTube)
AURA overlays real-time facial analysis on any YouTube video — and is honest about the one thing it cannot do.
WHAT IT MEASURES
• Action Units (FACS) — ~20 AUs estimated per frame from Google MediaPipe's 52 blendshapes
• Expressions — EMFACS prototypes (happiness, anger, fear, surprise, sadness, disgust, contempt)
• Microexpressions — rapid AU spikes (onset + offset under ~600 ms), logged live
• A facial-landmark mesh painted over the player
100% ON-DEVICE PRIVACY
All analysis runs locally in your browser through MediaPipe + WebAssembly. No video frame is ever uploaded, stored, or sent to any server. There is no account, no tracking, no telemetry.
HONEST BY DESIGN
This is NOT a lie detector. Detecting deception from the face is scientifically unreliable — humans score about 54% (barely above chance; Bond & DePaulo, 2006), and large behavior-detection programs built on the idea have failed audit (TSA SPOT; GAO, 2013). The optional "incongruence index" is clearly labeled as observational and non-diagnostic. Treat every reading as an estimate, not a verdict, and never use it to judge, screen, or accuse anyone.
HOW TO USE
1. Open any youtube.com/watch video with a visible face
2. The analysis panel appears on the right — toggle it from the toolbar icon
Built on Google MediaPipe FaceLandmarker.