Facetune：集合专业美颜相机和修视频软件的修图APP
Research answer
What AppTrendKit can say about Facetune：集合专业美颜相机和修视频软件的修图APP today
AppTrendKit estimates Facetune：集合专业美颜相机和修视频软件的修图APP's App Store USD gross consumer spend at $26.6K–$71.3K and downloads at 3.1K–17K during 2026-08-09 to 2026-09-07 (30-day window) with storefront contributor coverage unavailable.
These are modeled public App Store estimates, not official publisher-reported figures. Storefront scope is stated only when persisted contributor lineage identifies it.
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
Modeled3.1K–17K
Likely range · modeled estimate
Estimated App Store gross consumer spend · 30D
Modeled$26.6K–$71.3K
Likely range · modeled estimate
Estimated downloads · 7D
Modeled3.1K–17K
Likely range · modeled estimate
Estimated App Store gross consumer spend · 7D
Modeled$26.6K–$71.3K
Likely range · modeled estimate
Evidence history
Collected daily performance
1 observed day · missing days are left blank
| Date | Downloads | Gross store revenue | Confidence |
|---|---|---|---|
| Sep 7, 2026 | 7.2K | $43.5K | 44% |
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.
| Storefront | Revenue | Share | Downloads | Rank | Confidence |
|---|---|---|---|---|---|
| United StatesUS | $11.1K | 25.6% | 2K | — | 3% |
| CanadaCA | $10.2K | 23.4% | 1.4K | — | 3% |
| United KingdomGB | $7.1K | 16.2% | 1.2K | — | 3% |
| AustraliaAU | $7K | 16.1% | 910 | — | 3% |
| GermanyDE | $4.6K | 10.7% | 962 | — | 3% |
| FranceFR | $3.5K | 8.0% | 801 | — | 3% |
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
- 26.27
- Released
- Nov 24, 2016
- Last updated
- Aug 30, 2026
- Content rating
- 12+
- Default storefront
- CN
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
欢迎来到 Facetune，每张照片都很出片。 你的相机负责记录瞬间，Facetune 负责让它难忘。从快速微调到彻底变身，我们打造了你需要的所有工具，让你随时展现理想中的自己。 ‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿ 核心功能： 精修 & 优化： Smooth：一键柔化肌肤，自然修饰瑕疵和小细节。 Reshape：精准微调五官，自然放大你的个人特色。 Whiten：提亮笑容，让牙齿更白更亮（连球鞋都能一起变白）。 风格 & 变换： Hairstyles：超过 20 款发型随心试——从 Sleek Bun 到 Butterfly Cut 再到 Glam Blowout，不用动一根头发。 Beard & Hair：轻松尝试 Stubble、Hipster、Goatee、Long Beard 等多种胡须和发型效果，真实到离谱。 Makeup：零负担体验全套虚拟妆容，轻松拿捏 full glam 氛围。 专业级编辑： Headshots：AI 加持，几秒内把任意照片变成高级感专业头像。 Filters & Looks：精选滤镜和一键预设，瞬间拿捏照片氛围感。 Remove & Vanish：无痕去除路人、杂物或背景干扰，画面更干净。 Lighting：精准打光工具，让每张照片都有摄影棚级光感。 增强 & 打磨： Enhance：一键自动提升照片质感和清晰度。 Colour Correction：智能校正并增强色彩，让画面更鲜活、更高级。 Video Editing：你爱的所有编辑工具，全都支持 reels 和短视频。 ‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿‿ 为什么选择 Facetune？ 因为你的照片，值得和你的想法一样出彩。无论你是内容创作者、专业人士，还是单纯想拍得更好看——Facetune 都能轻松帮你搞定。无需经验，没有门槛。 下载。编辑。发布。循环开启。 使用条款：https://static.lightricks.com/legal/terms-of-use.pdf 隐私政策：https://static.lightricks.com/legal/privacy-policy.pdf
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, 11:35 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: 3%; intervals widen when evidence or history is limited.
Last observation: Sep 7, 2026, 11:48 PM.
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Open methodology