Best Scam Face Emotion Recognition Apps & Games

237+ iOS apps & games curated and reviewed

3.2 avg rating
18 free apps & games
Updated September 2026

Finding the right scam face emotion recognition apps and games can be overwhelming with so many options. We've analyzed 237+ apps and games to bring you the best choices for 2026, from free options to premium solutions with advanced features.

Compare top Scam Face Emotion Recognition Apps & Games (September 2026)

#AppPriceRatingAdsIn-App PurchasesUpdated
1Scam Face Emotion RecognitionScam Face Emotion Recognition$0.992.3★ (6)NoNoSep 2026
2Face EmotionFace EmotionFreeNoNoMay 2026
3My Face AnalysisMy Face AnalysisFreeNoNoMay 2026
4Mood Scanner AI - Face ReaderMood Scanner AI - Face ReaderFree4.5★ (54)YesYesSep 2026
5AI Emotion MirrorAI Emotion MirrorFreeNoNoMay 2026
6Beauty Scanner: Face AnalysisBeauty Scanner: Face AnalysisFree4.4★ (31)YesYesSep 2026
7SAFR RecognitionSAFR RecognitionFree3.4★ (25)NoNoAug 2026
8FaceAnalyzer :Age, GenderFaceAnalyzer :Age, GenderFree4.3★ (767)YesNoSep 2026

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FAQ about Scam Face Emotion Recognition

What are the best scam face emotion recognition apps & games for iPhone?
Scam Face Emotion Recognition tops our scam face emotion recognition apps & games ranking as of September 2026, with a 2.3-star average from 6 App Store ratings, and it's priced at $0.99.
Yes — 18 of the top scam face emotion recognition apps & games we rank are free to download, including Face Emotion and My Face Analysis.
Scam Face Emotion Recognition has no ads and has no in-app purchases, according to its App Store listing as of September 2026.
We track 237+ scam face emotion recognition apps & games on the iOS App Store as of September 2026, ranked by rating, recency, and analysis of real user reviews.
Scam Face Emotion Recognition is an application that analyzes facial expressions from photos or live camera feeds to detect emotions. It can be used for fun with friends or for more practical applications like interview preparation.
The app claims 90% affordability based on analyzing 5.7 million faces across 75 countries, totaling 38,944 hours of data and nearly 2 billion facial frames.