Luxand Face Recognition

Name: Luxand Face Recognition revenue & download estimates
Creator: AppCurrents

App Store·Photo & VideoFree★ 0.00 (0)launched 12.9y agoapp updated 4.2y ago

Scout Score

Luxand Face Recognition generates an estimated $0/month in revenue from 0 downloads/month on the App Store, according to AppCurrents estimates (updated 2026-06-11).

Estimates updated 11.06.2026 · How we estimate · Ranges reflect model confidence, not exact figures.
Est. revenue / month	$0
Est. downloads / month	0
Estimate confidence	low
Pricing	Free
Rating	0.00 ★ (0 ratings)
Category	Photo & Video
Released	02.07.2013
App last updated	04.04.2022
Platform	iOS

Est. downloads / mo

Est. revenue / mo

Review velocity / day

Chart velocity

—

Peak rank

—

Days tracked

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Modeled monthly estimate · low confidence

About

Just tap any detected face and give it a name. The app will memorize the face and recognize it further. For best results, hold the device at arm's length. You may slowly rotate the head (or slowly change your location) for the app to memorize you at multiple views. The app can memorize several persons. If a face is not recognized, tap and name it again. The SDK is available for mobile developers:…

View on the App Store →

Trends & analysis

Chart rank trend

US · overall

Collecting rank history — no snapshots so far. Fills in twice daily.

Why it's surfacing

Scout 4

Newness

Breakout

Reviews & velocity

No rating history yet.

Rating distribution

50% positive · 16 ratings

5★

38%

4★

13%

3★

2★

13%

1★

31%

Geographic reach

best rank · 0 storefronts

Collecting storefront coverage — no snapshots so far. Fills in twice daily.

Revenue & downloads trend

monthly estimate

Est. revenue / mo · $0

Jun 6Jun 11

Est. downloads / mo · 0

Jun 6Jun 11

Update history

1 update tracked

v1.254.2y ago
Liveness detection

Luxand Face Recognition — FAQ

How much money does Luxand Face Recognition make?

According to AppCurrents estimates, Luxand Face Recognition generates approximately $0 per month (low confidence), modeled from its the App Store chart performance, rating velocity, and monetization signals.