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How much does Auto face stamp earn?

Android app from netsugo225 · Photography

ML forecast ★ 3.4 · 2K Free

~518/mo

ML revenue forecast. Calibrated against 20485 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

What the app looks like

Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.

Auto face stamp screenshot 1 Auto face stamp screenshot 2 Auto face stamp screenshot 3 Auto face stamp screenshot 4

Auto face stamp's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Auto face stamp sits in Photography

Revenue distribution of 20485 comparable apps. Auto face stamp highlighted.

Auto face stamp vs comparable apps

Revenue trajectory side-by-side. Bold = Auto face stamp, ghosted = peers.

App spec

Version
2.10.0
Last update
Oct 13, 2025
Launched
Sep 24, 2018
Price
Free
Monetization
Free

What Auto face stamp actually does (from store listing)

When sharing photos with SNS etc., don't you care about the privacy of yourself, friends, others' faces? The cumbersome task of hiding faces becomes very easy. --- at times like this --- ✔ Covering faces in a mosaic is somewhat boring. ✔ I want to share group photos with SNS etc, but I want to protect everyone's privacy. ✔ It is hard to edit by hand. I want to easily do face-to-face editing. --- Features --- ■ Extremely accurate face recognition Automatically recognize even small face…
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Comparable Android apps

The five apps in Photography with the closest revenue to Auto face stamp. Click any to see its detail page.

AppRevenueRatingRatings
แต่งรูปสติ๊กเกอร์ icon แต่งรูปสติ๊กเกอร์ 518 0
Text on photo icon Text on photo 516 ★ 4.5 1K
Facer – Celebrity You Look Lik icon Facer – Celebrity You Look Lik 520 ★ 2.4 2K
Superhero Photo Frame Editor icon Superhero Photo Frame Editor 515 ★ 4.1 2K
Slidemessage icon Slidemessage 520 ★ 4.2 1K
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on Auto face stamp's tracker page for current rating, reviews and snapshot timeline.

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