FABE: face tune, edit photos
Research answer
What AppTrendKit can say about FABE: face tune, edit photos today
FABE: face tune, edit photos has no estimate-backed download or gross-consumer-spend figure that meets the public evidence contract yet.
Observed App Store metadata, chart positions, and history are shown below. Missing, non-finite, undefined-currency, or undefined-metric evidence stays missing rather than becoming zero.
Performance intelligence
Observed trajectory and estimates
Store ranks are observations. Downloads and gross store consumer spend are AppTrendKit estimates and only appear when persisted evidence exists.
Estimated downloads · 30D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 30D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated downloads · 7D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 7D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Evidence history
Collected daily performance
No daily metric history has been persisted yet.
Rank history
Observed chart positions
Lower rank is better. Only collected observations are shown.
Coverage note
What the ranks mean
A missing rank is not treated as zero downloads or zero revenue. Apple chart feeds are bounded and may return censored or not-ranked observations outside the visible chart depth.
Read the methodStorefront mix
Top countries by estimated contribution
Country estimates are aggregated only after country-level predictions exist.
Monetization
Observed store economics signals
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 4.8.1
- Released
- Jan 6, 2012
- Last updated
- Apr 3, 2026
- Content rating
- 17+
- Default storefront
- SA
Public IAP observations
Validated in-app purchase prices
Only persisted rows with an explicit public publication boundary are shown. Missing price, currency, country, or date values stay unknown.
Listing detail
What the store says
FABE is an AI PHOTO EDITOR designed for portrait and appearance edits. Enhance facial details, experiment with hairstyles and makeup, adjust body proportions, and apply aesthetic filters. No complicated tools, no long edits, just clean, beautiful results. What’s inside our AI photo editor: - Portrait photos enhancement - Hairstyle and makeup effects - Body editor tools - Stylish filters and glow effects - Close-up aesthetic templates - Fast, simple editing workflow SHARE-READY Just in ONE TAP create the (FABE) way you want to be seen and get ready to own the scroll and turn heads across every social feed. The app is available in multiple languages: English, German, Spanish, French, Italian, Portuguese, Brazilian Portuguese, Russian, Japanese, Korean, Chinese, Thai, Hindi, Turkish, Arabic Have an idea or a thought? Send it our way. We’re always open to feedback and love hearing from you, it basically helps app evolving Show up with your look, tag it with #FABE, and let more people discover it =========================== FABE AI subscription options: =========================== $7.99 per week $99.99 per year Your FABE subscription will automatically renew 24-hours prior to the end of each term and your card will be charged through your iTunes account. You can turn off auto-renewal at any time in your iTunes account settings, but refunds will not be provided for any unused period of the term. An unused portion of the free trial period will also be forfeited once any of the subscription options is purchased. FABE Terms of Use: http://pho.to/terms/ FABE Privacy Policy: http://pho.to/policy/
Publisher websiteStore creative
Screenshots
Competitive set
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Methodology and provenance
Read every number with its evidence
Metadata source: Apple iTunes Search API; observed Sep 7, 2026, 8:39 PM.
Rankings: collected chart positions from the listed storefront. Missing ranks are not zeros.
Economics: downloads and gross store consumer spend are estimated, not official Apple or publisher figures.
Model: No persisted model version.
Confidence: —; intervals widen when evidence or history is limited.
Last observation: Sep 7, 2026, 8:39 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology








