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67
BU Score
Solid

White Balance Meter AI - KEV

4.5 ✍️ Editor
✍️ BU Analytics Review

White Balance Meter AI - KEV is an iOS app from Satnam Singh in the Photo & Video category, currently rated 4.5★ across 255 ratings. Initial signal reads as mixed reviews — supporters praise core features while critics cite stability/value gaps.

Our BU Score puts it at 67Solid (established niche player). For a Photo & Video app, that means established niche player.

Track changes month-over-month in the Performance section below — live snapshot history and revenue forecast included.

📊 Performance Tracking LIVE

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idle
0%
Rating
Reviews
Forecast Revenue / mo
Snapshots tracked
0
since first record
Range:

💰 Forecast Revenue / mo

MODEL
Revenue forecast computed from BU's 234 trigger model on each snapshot. Calibrated against ground-truth from 58 verified-revenue apps.
🔬Forecast Breakdown — Why This Estimate?Top 8 of 8 triggers
Our ML model uses 200+ signals from public data. These are the most influential for this app:
Paid app ($0.00)METRIC
+$2,800
Excellent rating (4.5★)METRIC
+$2,200
worth every pennyREVIEW
+$2,000
5 starREVIEW
+$1,800
highly recommendREVIEW
+$1,400
Established app (6y old)METRIC
+$800
Localized (5 languages)METRIC
+$600
Early-stage install base (255 ratings)METRIC
+$400
METRIC = structural app data · REVIEW = mined from user reviews · ✓ VERIFIED = Stripe-verified anchor (TrustMRR)

📈 Reviews Growth

LIVE
Cumulative review count from first BU snapshot. Each point = a tracked update.

⭐ Rating Trend

LIVE
Average rating evolution. Updates with each new review batch.

🗓️ Snapshot Timeline

HISTORY
Each bar shows a tracked update and the metric delta from the previous snapshot.
App Specs
🔐 Own this app? Claim & verify MRR →
💾 13 MB🔞 4+📱 iOS 13.0+🔖 v7.0.1🔄 updated 4mo ago🌐 EN, JA, RU, ZH, ZH📂 Photo & Video💰 Paid🚀 Launched 2020 (6y old)

📝 About this app

KEV is the #1 White Balance app.
KEV app turns your iPhone or iPad into a professional and easy-to-use light meter. Using KEV app is as easy as pie, no sensor required, the in-built camera already got you covered.

Minimalist KEV uses AI to analyze live previews and provide accurate white balance data in Kelvin, making it a valuable tool for photographers and videographers.

Trying to get the perfect White Balance on your DSLR can be annoying. KEV helps you by letting you know what the White Balance should be. You can measure the colour temperature of a light source in Kelvin without having to spend hundreds of dollars on professional devices.

We calibrated KEV using Sekonic C-700R-U SpectroMaster Colour Meter, and we guarantee from fair to almost 100% accuracy. Just open the KEV app and point the camera on surface or scene.

The white balance is a correction of color rendition to make the picture from the camera sensor as similar to the perception by human eyes as possible.

Functions and Capabilities:
• Gets you Color Temperature in Kelvin in real-time.
• Ability to compensate and calculate the white balance readings.
• Capture a snapshot with color temperature reading and location.
• Ability to manually focus on the scene and objects.
• Minimal yet integral point and shoot capability.
• A go-to spectrometer for photographers, videographers, cinematographers, gaffers, drones and action cameras.
• Save time in post-processing.
• Mount your iPhone using hot-shoe over the camera or on a tripod stand and get colour temperature data on the KEV Watch app.
• Zoom in to get colour temperature data of a close-range.
• Balance Color Temperature of the Ambient Light and Your Light Source.

Override the Auto-White Balance and choose settings yourself.

Check out these videos shared by KEV users:
Karl Weinreich - https://youtu.be/sT78ajMQ4Iw
rileyphotos - https://youtu.be/C4oihcY7Dh4

We care about your privacy:
https://kevapp.co/privacy/

If you'd like to contact, please send us an email at 29satnam@gmail.com.

🆕 What's New · v7.0.1

Hey KEVers,

Thanks for using White Balance Meter AI - KEV.

What’s new:

• Improved UI with clear feedback when white balance analysis is complete.
• Added pinch-to-zoom support.
• Zoom now supports up to 5× magnification.

As always, feel free to share any feedback, suggestions, or advice at 29satnam@gmail.com.

Profile & Insights

Everything we know — and don't — about this app and its company.

Identification

App name
White Balance Meter AI - KEV
Developer
Satnam Singh
Bundle ID
com.silverseahog.kev
App Store URL
Open in App Store
Category
Photo & Video
Content rating
4+
Languages
EN, JA, RU, ZH, ZH

Company

Website
kevapp.co
Tagline
kevLandingPage
Description
KEV turns your iPhone or iPad into a professional and easy-to-use light meter. Minimalistic KEV analyzes live preview of the scene and gives you accurate white balance data in Kelvin.
Founded
Not found
HQ / Address
Not found
Employees
Not found
Logo
Not found

Revenue

Verified revenue / mo
Not found
AI revenue estimate / mo
Not found
AI annual estimate
Not found
ML model estimate / mo
$31.1K/mo
Top-grossing rank
Outside top 100 in US Photo & Video
All-time revenue
Not found
Pricing
Not found

Founder

Name
Not found
X / Twitter
https://twitter.com/codetard
LinkedIn
Not found
GitHub
https://github.com/29satnam
X followers
Not found
Public statements
Not found

Funding

Total raised
Not found
Last round
Not found
Investors
Not found
Crunchbase
Not found
AngelList
Not found

Press & Links

Articles found
Not found
Listed on
Not found
Blog
Not found
Press / News
Not found

Contacts & Socials

Socials
github · twitter
Email
29satnam@gmail.com
Phone
Not found
Contact page
Not found
About page
Not found
📈Ratings growth255 ratings+25400% lifetimeShow 3-year history estimate ▾Aug 2020Mar 2024May 2026
Tracked (22 weeks) Pre-tracking estimate (37 weeks) · model-based, ±5% noise · anchored to release date and current value
🌍Geographic ReachNot ranked
This app is currently outside the top 100 grossing in all 9 countries we monitor (US, UK, DE, FR, JP, CA, AU, BR, IN). Niche or new apps often launch this way — popularity rankings appear once daily revenue clears the regional threshold.
Profile is built from iTunes Lookup + developer site scrape + ML revenue model. Empty fields show "Not found" — additional sources (Crunchbase, X, IndieHackers, Acquire.com) coming.

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