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69
BU Score
Solid

VDScan

4.5 ✍️ Editor
✍️ BU Analytics Review

VDScan is an iOS app from Opus Noma LLC in the Productivity category, currently rated 4.5★ across 569 ratings. Initial signal reads as mixed reviews — supporters praise core features while critics cite stability/value gaps.

Our BU Score puts it at 69Solid (established niche player). For a Productivity app, that means established niche player.

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

creator

📊 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 10 of 10 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
excellent appREVIEW
+$1,500
highly recommendREVIEW
+$1,400
slowREVIEW
−$1,200
Established app (7y old)METRIC
+$800
Early-stage install base (569 ratings)METRIC
+$400
Single-language (English only)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 →
💾 1.2 GB🔞 4+📱 iOS 17.0+🔖 v2.1.0🔄 updated 9mo ago🌐 EN📂 Productivity💰 Paid🚀 Launched 2019 (7y old)

📝 About this app

Scan paper documents, labels, signs with the camera and recognize text. Listen using built-in text-to-speech. Save and export. Unlimited use: no subscriptions or additional charges.

State-of-the-art A.I. for OCR and text recognition: Fast and accurate, even in poor lighting conditions. Works entirely on device: No need for internet and your data stays private.

Recognizes text in the following languages: Catalan, Chinese, Croatian, Czech, Danish, Dutch, English, Finnish, French, German, Hindi, Hungarian, Italian, Japanese, Korean, Norwegian, Polish, Portuguese, Romanian, Spanish, Swedish, and Turkish.

ScanTone, a sound that represents the amount of recognizable text in the camera's field of view in real time. It uses artificial intelligence to analyze the live feed from the camera for text, angle, rotation, and document edges.

Exports scans as plain text or accessible PDF with embedded text.

Detailed Feature List

Scanning
- ScanTone
- Live edges/crop detection
- Flashlight
- Batch mode for scanning multiple pages quickly
- Intelligent auto capture

Image
- Automatic edge detection for stretching and cropping
- Manually cropping
- Automatic orientation detection and rotation
- Manual image rotation
- Automatic image enhancement

OCR
- Fast: about a second on the latest iPhone
- Offline: does not require Internet connection
- Private: image and text stay on device
- Automatic language detection
- Option to see image or recognized text

Text To Speech
- Choose from 61 voices
- Premium voices in Voice Dream Reader available
- Change speech rate
- Option to start reading as soon as OCR is complete
- Spoken word is highlighted in the text or the image
- Rewind and fast forward by text section (VoiceOver users only)
- Double tap on text to start reading from there

Import and Export
- Load from Photo Library
- Share extension for sending images to Scanner from another app
- Export plain text
- Export PDF with text layer under the image so that it's accessible, searchable and selectable
- Export to Voice Dream Reader

🆕 What's New · v2.1.0

In this major update we’re introducing Describe Image. A state-of-the-art vision-language model is bundled in the app, so it can describe the key features of any image and answer your questions about it. Just tap Describe Image (or use an accessibility magic-tap on the live image).

Because the model runs entirely on your device, it works offline—even without an Internet connection. Plus, your images stay private.

Requirements: iPhone 12 Pro (or newer) running iOS 17 or later.

We’d love your feedback: info@vdscan.app

Profile & Insights

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

Identification

App name
VDScan
Developer
Opus Noma LLC
Bundle ID
com.voicedream.scanner
App Store URL
Open in App Store
Category
Productivity
Content rating
4+
Languages
EN

Company

Website
www.vdscan.app
Tagline
Listen to Captured Text with VDScan
Description
VDScan is a text scanner for iPhones, designed for people with visual impairment and dyslexia. State-of-the-art AI provides human-level text recognition and text-to-speech. Everything runs on-device to protect your privacy.
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
$31.7K/mo
Top-grossing rank
Outside top 100 in US Productivity
All-time revenue
Not found
Pricing
Not found

Founder

Name
Not found
X / Twitter
Not found
LinkedIn
Not found
GitHub
Not found
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
Not found
Email
info@vdscan.app
Phone
Not found
Contact page
Not found
About page
Not found
📈Ratings growth569 ratings+935% lifetimeShow 3-year history estimate ▾Mar 2020Mar 2023May 2026
Tracked (59 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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