AI Photo Unblur: BlurBuster HD
Research answer
What AppTrendKit can say about AI Photo Unblur: BlurBuster HD today
AI Photo Unblur: BlurBuster HD 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 · 7D
UnavailableNo estimate yet
We only show an estimate once we have enough data. Missing numbers are never shown as zero.
Estimated App Store gross consumer spend · 7D
UnavailableNo estimate yet
We only show an estimate once we have enough data. Missing numbers are never shown as zero.
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 methodApp Store search
Keywords AI Photo Unblur: BlurBuster HD ranks for
Observed positions in Apple's US search results, best first. Popularity is a 0–100 index, not a search count.
| Keyword | Position | Change | Popularity | Difficulty |
|---|---|---|---|---|
| enhancer | #21 | new | 73 | 62 |
Storefront 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
- 1.0.81
- Released
- Dec 22, 2021
- Last updated
- May 29, 2026
- 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
BlurBuster is the ultimate mobile app for anyone looking to improve their photos quickly and easily. With its advanced AI technology, users can transform their photos with just one click. Whether you want to remove blur, correct lighting, colorize, or sharpen your image, BlurBuster has got you covered. To get started, simply select the photo you want to enhance and hit the button. In just a few seconds, you'll have your result, and you can compare the before and after versions. For best results, make sure the faces in your photos are clear and visible, and not too small. With BlurBuster, you can transform any photo into a masterpiece in seconds. BlurBuster features: - Remove Blur from the photo - Make photo clear - Make photos more sharpen - Correct light on photo - Colorize photo - Remove scratches and the yellow tone from an old photo At BlurBuster, we take your privacy and security seriously. Our privacy policy and terms of use can be found at the following links: Privacy Policy: https://kallossoft.com/photo-enhance-privacy-policy Terms of Use: https://kallossoft.com/photo-enhance-terms-and-conditions For our subscriptions, we follow the standard Apple Terms of Use (https://www.apple.com/legal/internet-services/itunes/dev/stdeula/). Try BlurBuster today and see the difference for yourself!
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, 1:12 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, 1:12 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology