How much does Photo Retouch- Object Removal make per month?

Based on our ML-calibrated revenue forecast, Photo Retouch- Object Removal earns approximately $5.0K/mo. This is a US-storefront-equivalent estimate; global revenue can be several times larger for internationally-distributed apps. See the methodology page for the full formula and confidence bands.

Is Photo Retouch- Object Removal profitable?

With estimated build cost $160K and monthly revenue $5.0K, Photo Retouch- Object Removal looks break-even-grade — payback period sits around 2.7 years. Profitability also depends on paid-acquisition spend and refund rate which the public model doesn't see.

How many users does Photo Retouch- Object Removal have?

Estimated audience: ~5.6M lifetime downloads, ~640K monthly active users, and ~160K daily active users. Derived from ratings count × category installs-per-rating × age decay. US-storefront-equivalent — global audience can be 5-10× larger for internationally-distributed apps.

What apps are like Photo Retouch- Object Removal?

Browse the full Photography category catalog to find similar apps with revenue, build cost, audience and tech stack data. Each /p/{slug} page also shows a Compare side-by-side widget with three peer apps from the same niche.

What is Photo Retouch- Object Removal built with?

Our heuristic places Photo Retouch- Object Removal on the Native Android (Kotlin) stack (High confidence, 80%). Signals: app bundle size, category context, store-description markers, release-date era. We don't disassemble binaries. Alternative possibilities: Flutter.

Is Photo Retouch- Object Removal still actively maintained?

Maintenance status: Slowing (30% abandonment risk). Last shipped version was 4 months ago. The risk score combines time-since-last-update with Editor's Choice / curated featuring + user-base maturity adjustments.

How much would Photo Retouch- Object Removal sell for?

Estimated acquisition value: $175K (marketplace range $125K – $225K). Calculated as 36× monthly revenue using the standard multiple for the detected monetization model + adjustments for age, rating quality and category demand. Calibrated against 2024-2026 Flippa / Acquire.com / MicroAcquire closed-deal medians.

When was Photo Retouch- Object Removal last updated?

Photo Retouch- Object Removal last shipped a new version on 2026-04-29 — 4 months ago. This is the date Apple / Google last accepted a new build, not a content-only push.

Who makes Photo Retouch- Object Removal?

Photo Retouch- Object Removal is published by Shenzhen Leyuan Shentu Technology Co., Ltd on the Google Play Store. See the full publisher portfolio (other apps by the same developer) via the More by developer block on the product page above.

What is Photo Retouch- Object Removal's BU Score?

Photo Retouch- Object Removal has a BU Score of 69/100 (Solid). The score combines App Store rating, ratings count, monetization model and revenue signals calibrated against founder-verified MRR anchors. See the BU Score formula.

Photo Retouch- Object Removal

Quality Score

Solid

Photo Retouch- Object Removal

Name: Photo Retouch- Object Removal — app revenue, audience, build cost & risk profile
Creator: Bumetric
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Photo Retouch- Object Removal revenue, Photo Retouch- Object Removal app analytics, mobile app revenue estimate, Photography revenue, Android app revenue

by Shenzhen Leyuan Shentu Technology Co., Ltd

High confidence

4.5 Google Play rating

✍️ Bumetric analysis

“

Photo Retouch- Object Removal is an Android app from Shenzhen Leyuan Shentu Technology Co., Ltd in the Photography category, currently rated 4.5★ across 66,693 ratings. Initial signal reads as largely positive sentiment, users highlighting consistency and feature depth.

Quality Score is 69: Solid (established niche player). For a Photography app, that means established niche player. The full BU Investment Matrix below scores 8 dimensions including monetisation, growth, and operational risk.

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

💰 Monthly revenue · now vs forecast

● Right now

$5.0K

per month

→

12-mo forecast

$5.2K – $10.8K

per month

→

24-mo forecast

$6.4K – $19.2K

per month

MID tier

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Description hook & conversion structure
Screenshots, ratings, reviews strategy

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Typical impact: +2-5× organic installs

📊 Performance Tracking LIVE

1 snapshots on record

idle

Rating

4.5

Reviews

66,693 reviews

Forecast Revenue / mo

$5.0K

Snapshots tracked

since May 2026

ONE-TIME · BUILD 💰 Estimated build cost

$160K

↳ What it cost to build · not monthly revenue

Likely range $120K – $215K

$25K · MVP floor $100K · indie scale $500K+ · studio build

📈 Pays back in ~2.7y at current MRR

Synthetic estimate. Inputs: category complexity, file size, screen count, monetization layer, platform reach, age × team-size proxy. Calibrated against 2024-2026 indie-agency rate surveys. Full math + source list on /methodology.

Where the money goes

🧱 MVP baseline (design + 1-store ship)	+$28K
📱 5 unique screens × $4.5K	+$22K
💎 In-app purchase plumbing	+$9K
⚙ Photography complexity ×1.35	+$20K
🌐 Cross-platform reach (iOS + Android)	+$44K
⚙ 6.0y maintenance × ~1-person team	+$35K

Total estimate $160K

ONE-TIME · EXIT VALUE 💵 Estimated acquisition value

$175K

↳ What it would sell for · not monthly revenue

Marketplace range $125K – $225K · 36× MRR multiple

💸 ~1.1× build cost (break-even+)

Synthetic estimate. Multiple band derived from iap / freemium model + age, rating quality, category demand, and user-base maturity. Calibrated against 2024-2026 indie-app-marketplace closed-deal medians. Full math + comparable deal list on /methodology.

How the multiple was built

💎 IAP / freemium model base	28× MRR
📅 6.0y proven track record	+20%
⭐ ★ rating ≥ 4.4 (solid)	+8%

Final multiple 36× MRR

👥 Estimated audience size

5.6M

Lifetime downloads (US-equivalent)

Monthly active

640K

Daily active

160K

Synthetic estimate from ratings × category benchmarks. Calibrated against 2024-2026 mobile-attribution retention + DAU/MAU reports. Numbers are US-storefront-equivalent — true global audience can be 5-10× larger for international apps. Full math + source list on /methodology.

How we sized it

📲 Photography engagement	~120 installs / rating
📅 6.0y of rating accumulation	-30%
🔁 Photography D30 retention	15%
📍 DAU / MAU stickiness	0.25

DAU / MAU 25% sticky

🛠 Estimated tech stack

🤖

Native Android (Kotlin)

High confidence · 80%

Also possible

Flutter

Heuristic guess from app bundle size, category, store description signals, and release-date stack era. Bumetric does not disassemble binaries — for binary-level certainty you would need an SDK intelligence tool or the manifest itself. Reasoning chain on the right. Full ruleset on /methodology.

Signals we read

🏷 Category context	Photography
📦 Compact Android bundle	→ Native Kotlin

💀 Maintenance status

Slowing

30%

Last shipped 2026-04-29 · 148 days ago

0 · Active 50 · At risk 100 · Abandoned

Heuristic risk score from time-since-last-update + ratings velocity proxy + Editor's Choice / curated featuring signals. Calibrated against 2024-2025 app-store ranking decay reports. Not a guarantee — a quiet app with a healthy codebase looks the same as an abandoned one until something breaks. Full math on /methodology.

Risk signals

📅 4 months since last update

Slowing cadence

Verdict Slowing

🔬

How we forecast this revenue

MEDIUM CONFIDENCE

Baseline

$5.0K/mo · ML-estimated from 234 triggers

Growth rate

+4.0% MoM · MID tier baseline (compound monthly)

6 months

$4.7K – $7.9K

12 months

$5.2K – $10.8K

24 months

$6.4K – $19.2K

Compound growth at +4.0% MoM (tier baseline for MID). Range widens with horizon — typical noise band ±25% at 6mo.. Ranges widen with horizon — distant futures carry more uncertainty.

📊

BU Investment Matrix

Building · 56/100MID TIERcompetitive build-out

Growth Velocity

5.0

Founder Strength

4.5

Product Quality

9.0

Revenue Strength

3.7

Monetization Maturity

5.0

Defensibility

7.5

Market Position

0.0

Operational Safety

10.0

💰 Revenue: Modest — $3K - $7K/mo · MID tier · medium confidence, trajectory unclear.
⭐ Quality: 4.49★ across 66,693 reviews — strong (top 10%).
📍 Market: Not yet charting in any of the 9 monitored markets.
📈 Growth: Insufficient signal to assess trajectory.
⚠️ Risk: Low — no material risk signals detected.

🎯 For competitors: Mixed picture. Worth competing if you have a clear UX or pricing edge — otherwise crowded segment.

💵 For acquirers: Estimated asking range 18-32× monthly = $90K-$160K.

Composite of 8 dimensions computed deterministically from public signals — no LLM, every score traces back to a measurable input. Default weights shown; "compete" / "acquire" / "invest" lenses re-weight without re-fetching.

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 4 of 4 triggers

Our ML model uses 200+ signals from public data. These are the most influential for this app:

Mid install base (66,693 ratings)METRIC		+$5,500
Good rating (4.5★)METRIC		+$800
Established app (5y old)METRIC		+$800
Ad-supported / freemiumMETRIC		+$600

METRIC = structural app data · REVIEW = mined from user reviews · ✓ VERIFIED = Stripe-verified anchor (TrustMRR)

📥 Estimated Downloads / week

PROXY · ratings × 50/wk —

Industry-rule estimate (Sensor Tower / data.ai): one weekly install ≈ 50 new ratings. Solid points = tracked snapshots · faded line = pre-tracking model backfill.

📈 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.

Profile & Insights

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

Identification

App name: Photo Retouch- Object Removal
Developer: Shenzhen Leyuan Shentu Technology Co., Ltd
Bundle ID: com.ror.removal
App Store URL: Open in App Store
Category: Photography
Content rating: Not found
Languages: Not found

Company

Website: photoretouch.top
Tagline: Not found
Description: Not found
Founded: Not found
HQ / Address: Not found
Employees: Not found
Logo: Not found

Revenue

Reported revenue signal / mo: Not found
AI revenue estimate / mo: Not found
AI annual estimate: Not found
Model estimate / mo: $5.0K/mo
Top-grossing rank: Not found
All-time revenue: Not found
Pricing: $0.99 - $99.99 per item

Founder

Founder data not yet collected for this app.

Funding

Funding data not yet collected for this app.

Press & Links

Press & Links data not yet collected for this app.

Contacts & Socials

Contacts & Socials data not yet collected for this app.

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.

📝 About this app

Effortlessly Retouch Your Photos with Photo Retouch - Object Removal

Looking for the perfect photo retouch tool? Remove unwanted objects, blemishes, and even video watermarks with ease using Photo Retouch - Object Removal. This powerful yet simple photo editor gives you complete control over your images, allowing you to achieve professional-looking results in seconds.

Imagine seamlessly erasing distracting elements from your favorite photos: power lines, unwanted people, or even skin blemishes. Photo Retouch makes it possible with its intuitive object removal tools.… View full description on the official store →

App Specs

🔐 Own this app? Claim & verify MRR →

🔖 v6.4.2🔄 updated 4mo ago📂 Photography💰 Free📺 Ad-supported💎 IAP $0.99 - $99.99 per item🚀 Launched 2020 (5y old)

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📝 Description

BU Score · Transcendent

Full revenue analysis

Read the article-style breakdown for Photo Retouch- Object Removal: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.

Read deep-dive →