Розпізнавання тексту
0
Quality Score
Niche
Розпізнавання тексту
by ryo muranaka
Low confidence
✍️ Bumetric analysis
“
Розпізнавання тексту is an iOS app from ryo muranaka in the Education category, currently rated — across few ratings. Initial signal reads as no scraped reviews yet: judgment based on metadata only.
Quality Score is 0: Niche (micro-niche or pre-traction stage). For a Education app, that means micro-niche or pre-traction stage. 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
$500
per month
→
12-mo forecast
$437 – $1575
per month
→
24-mo forecast
$405 – $3644
per month
INDIE tier
💡 Grow this revenue
Free AI audit of this app’s store listing
- Title & subtitle keyword fit
- Description hook & conversion structure
- Screenshots, ratings, reviews strategy
Typical impact: +2-5× organic installs
📊 Performance Tracking LIVE
5 snapshots on record
Rating
—
Reviews
0 reviews
Forecast Revenue / mo
$500
Snapshots tracked
5
since Mar 2026
ONE-TIME · BUILD
💰 Estimated build cost
$80K
↳ What it cost to build · not monthly revenue
Likely range $60K – $110K
$25K · MVP floor
$100K · indie scale
$500K+ · studio build
📈
Slow ROI — current MRR is well below build cost
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 |
| ⚙ Education complexity ×1.20 | +$10K |
| ⚙ 3.0y maintenance × ~1-person team | +$18K |
Total estimate
$80K
ONE-TIME · EXIT VALUE
💵 Estimated acquisition value
$10K
↳ What it would sell for · not monthly revenue
Marketplace range $5K – $10K · 18× MRR multiple
💸
~0.1× build cost (under-water)
Synthetic estimate. Multiple band derived from ad-supported + 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
| 📺 Ad-supported base | 15× MRR |
| 📅 3.0y proven track record | +15% |
| 🏷 Education category multiple | +6% |
Final multiple
18× MRR
🛠 Estimated tech stack
🍎
Native iOS (SwiftUI)
High confidence · 80%
Also possible
Native iOS (Swift / UIKit)
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
| 📦 App bundle size | 17 MB |
| 🏷 Category context | Education |
| 📦 Compact iOS bundle | → Native SwiftUI (post-2020 era) |
💀 Maintenance status
At risk
50%
Last shipped 2026-03-14 · 203 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
| 📅 6 months since last update | Concerning gap |
Verdict
At risk
🔬
How we forecast this revenue
LOW CONFIDENCEBaseline
$500/mo · ML-estimated from 234 triggers
Growth rate
+6.0% MoM · INDIE tier baseline (compound monthly)
Direction
Headwinds: rating drift may slow acquisition, low defensibility moat
6 months
$426 – $993
12 months
$437 – $1.6K
24 months
$405 – $3.6K
Compound growth at +6.0% MoM (tier baseline for INDIE). Range widens with horizon — typical noise band ±40% at 6mo.. Ranges widen with horizon — distant futures carry more uncertainty.
📊
BU Investment Matrix
Pre-traction · 32/100INDIE TIERlimited signalGrowth Velocity
5.0
Founder Strength
2.9
Product Quality
0.0
Revenue Strength
2.7
Monetization Maturity
1.0
Defensibility
2.8
Market Position
2.0
Operational Safety
9.0
- 💰 Revenue: Marginal — $200 - $1250/mo · INDIE tier · medium confidence, trajectory unclear.
- ⭐ Quality: None★ across 0 reviews — weak — significant quality concerns.
- 📍 Market: Not yet charting in any of the 9 monitored markets.
- 📈 Growth: last update 199d ago — slow cadence.
- ⚠️ 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 = $9K-$16K.
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
MODELRevenue 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 3 of 3 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 | |
| Multilingual (36 languages)METRIC | +$1,500 | |
| Established app (3y old)METRIC | +$800 |
METRIC = structural app data · REVIEW = mined from user reviews · ✓ VERIFIED = Stripe-verified anchor (TrustMRR)
📈 Reviews Growth
LIVECumulative review count from first BU snapshot. Each point = a tracked update.
⭐ Rating Trend
LIVEAverage rating evolution. Updates with each new review batch.
🆕 What's New · v1.3.0
[New Features]
- Document Camera: Auto-detect and scan documents
- Live OCR: Real-time text recognition with camera
- Smart Link Detection: Tap phone numbers, URLs, addresses, and calendar events
[Improvements]
- Improved OCR engine stability and performance
- Document Camera: Auto-detect and scan documents
- Live OCR: Real-time text recognition with camera
- Smart Link Detection: Tap phone numbers, URLs, addresses, and calendar events
[Improvements]
- Improved OCR engine stability and performance
Profile & Insights
Everything we know — and don't — about this app and its company.
Identification
- App name
- Розпізнавання тексту
- Developer
- ryo muranaka
- Bundle ID
- Not found
- App Store URL
- Open in App Store
- Category
- Education
- Content rating
- 4+
- Languages
- AR, BN, CA, HR, CS, DA, NL, EN, FI, FR, DE, EL, HE, HI, HU, ID, IT, JA, KO, MS, NB, FA, PL, PT, RO, RU, ZH, SK, ES, SW, SV, TH, ZH, TR, UK, VI
Company
- Website
- Not found
- 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
- $500/mo
- Top-grossing rank
- Not found
- All-time revenue
- Not found
- Pricing
- Not found
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.
🌍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.
💰Pricing History$0.00 → $7.99 (+0%)
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
Regarding the main functions
1. character recognition in a photo taken
text recognition with a photo taken
You can read the text in a photo by taking a photo with your phone.
2. text recognition with saved images
Text can be retrieved from past photos, and can also be used with photos in photo albums.
3. image customization
You can crop a photo as you like and read the text only on the part you need.
4. offline support
No internet connection is required, so you can recognize text anytime, anywhere.
5. no ads
No ads are displayed, so you will not be disturbed when using the application.… View full description on the official store →
1. character recognition in a photo taken
text recognition with a photo taken
You can read the text in a photo by taking a photo with your phone.
2. text recognition with saved images
Text can be retrieved from past photos, and can also be used with photos in photo albums.
3. image customization
You can crop a photo as you like and read the text only on the part you need.
4. offline support
No internet connection is required, so you can recognize text anytime, anywhere.
5. no ads
No ads are displayed, so you will not be disturbed when using the application.… View full description on the official store →
App Specs
🔐 Own this app? Claim & verify MRR →💾 17 MB🔞 4+📱 iOS 15.6+🔖 v1.3.0🔄 updated 6mo ago🌐 AR, BN, CA, HR, CS +31📂 Education💰 Paid🚀 Launched 2023 (3y old)
📅
What Worked™ · Development Pipeline
2 EVENTS TRACKEDDetected changes in this app over its tracked lifetime — each event links cause (what changed) to effect (what moved). Sorted newest first.See full history →Version history →
2026-06
💲
Went paid — introduced $7.99 price point
2026-03
🚀
First tracked snapshot — initial data captured
🌍
Multi-Country Performance
Available in 9 of 9 monitored markets| Market | Rating | Reviews | Current version |
|---|---|---|---|
| 🇦🇺 AU | 0★ | 0 | — |
| 🇧🇷 BR | 0★ | 0 | — |
| 🇨🇦 CA | 0★ | 0 | — |
| 🇩🇪 DE | 0★ | 0 | — |
| 🇫🇷 FR | 0★ | 0 | — |
| 🇬🇧 GB | 0★ | 0 | — |
| 🇮🇳 IN | 0★ | 0 | — |
| 🇯🇵 JP | 3★ | 2 | 3★ this version |
| 🇺🇸 US | 0★ | 0 | — |
🔔
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📝 Description
95
BU Score · Transcendent
About this analysis
Why low confidence: only 0 ratings · no founder-verified revenue (model estimate only) · revenue figure is directional only.
📌 Final verdict — read this before you trust the numbers above
Розпізнавання тексту is a very early-stage iOS app in the education space with weak public traction — only 0 ratings, no founder-verified MRR, and not ranked in any monitored grossing chart. The app appears to be monetised, but public signals are too sparse for a precise revenue estimate.
Bottom line: treat all revenue, audience and acquisition-value numbers on this page as directional only — not founder-verified facts.
❓ Frequently Asked Questions
6 answers · auto-generated from this app's public dataHow much does Розпізнавання тексту make per month?▴
Low-confidence model estimate. Розпізнавання тексту has only 0 App Store ratings, so our revenue model has very little signal to work with — treat the ~$500/mo figure as directional only, not a verified MRR. No founder-verified revenue data is available for this app. See methodology for the formula and confidence bands.
What apps are like Розпізнавання тексту?▴
Browse the full Education 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 Розпізнавання тексту built with?▴
Our heuristic places Розпізнавання тексту on the Native iOS (SwiftUI) stack (High confidence, 80%). Signals: app bundle size, category context, store-description markers, release-date era. We don't disassemble binaries. Alternative possibilities: Native iOS (Swift / UIKit).
Is Розпізнавання тексту still actively maintained?▴
Maintenance status: At risk (50% abandonment risk). Last shipped version was 6 months ago. The risk score combines time-since-last-update with Editor's Choice / curated featuring + user-base maturity adjustments.
When was Розпізнавання тексту last updated?▴
Розпізнавання тексту last shipped a new version on 2026-03-14 — 6 months ago. This is the date Apple / Google last accepted a new build, not a content-only push.
Who makes Розпізнавання тексту?▴
Розпізнавання тексту is published by ryo muranaka on the Apple App Store. See the full publisher portfolio (other apps by the same developer) via the More by developer block on the product page above.