Switch & Cut Me In -Photo Blur
Research answer
What AppTrendKit can say about Switch & Cut Me In -Photo Blur today
Switch & Cut Me In -Photo Blur 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
Downloads, revenue and chart history
Estimates for the last 7D. Chart positions come from the App Store; downloads and revenue are AppTrendKit estimates, shown as a size band (for example 10K–50K) with a confidence level.
Estimated downloads · 30D
Upper limitUnder 20K
Below the top 100 in Photo & Video (US)
The app is not in its category's top 100, so it has less than the app ranked #100 there. We show this limit until we have enough data for an estimate.
Estimated App Store gross consumer spend · 30D
Upper limitUnder $200K
Below the top 100 in Photo & Video (US)
The app is not in its category's top 100, so it has less than the app ranked #100 there. We show this limit until we have enough data for an estimate.
History
Collected daily performance
No daily history yet.
Rank history
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 · 7D
Country figures cover the days we collected in each country, so they don't add up to the worldwide estimate. Each country shows when it was last updated.
Monetization
How the app makes money
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 3.7
- Released
- Jul 26, 2014
- Last updated
- Apr 4, 2023
- Content rating
- 4+
- Default storefront
- US
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
Updated & intelligent cutout software——Cut me in! You can easily cut out persons, objects in a few steps. It provides you convenient operation, powerful functions, clear interfaces , various material options. You can make identification photos, parody pictures and save PNG images, "one-stop" work style! 【Powerful Cutout Function】 ***One draw in your target, cut out the whole object intelligently. ***Various shapes option, be time-saving and innovative. ***Select area with similar color with one tap using smart color picker. ***Easy tool to help with you refine trivial hair selection. ***Painting, inverse selection, feather and expansion, you’ll like all the wonderful functions. 【Backgrounds Of Different Style】 ***Make your own ID photo from your daily-life photos in one second, saving your time, money and energy. ***Participate in any movie, to be a superstar. ***Travel around the world as you like, any time and anywhere. ***So many thing to play around , all you need is a little imagination. 【Variable Awesome Effects】 ***To be Funny, smart or cool at your pleasure. ***Create 3D visual effects lively. ***Experience Pop art right away. ***Create dynamic effect from still photo ***Sketch, cartoon, oil painting, sculpture, choose anyone you like. ***Eighteen wonderful effects for you to choose from. 【Stickers, Texts, Photo Editing, all available】 * * * 16 themes, thousands of stickers, * * * 200 Chinese and English fonts * * * Photo editing with professional effect and rookie operation * * * 7 automatic facial beautification filter, and 20 more for common photos 【Easily Share To Your Friends】 * * * support Facebook, Instagram, Whatsapp, etc... Use your imagination to shock your friends!
Publisher websiteStore creative
Screenshots
Competitive set
Similar apps
Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.
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How we estimate
Where every number comes from
App details: Apple iTunes Search API, updated Sep 28, 2026, 10:51 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: Lineage not exposed by this aggregate.
Confidence: —; intervals widen when evidence or history is limited.
Last updated: Sep 28, 2026, 10:51 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology