---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "File & Photo Recovery"
developer_entity: "Duc Duong Tran"
bundle_id: "com.gb.recoveryapp"
app_store_id: "6783908326"
category: "Utilities"
primary_platform: "ios"
primary_monetization: "Subscription"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2026-07-30"
report_date: "2026-08-18"
last_verified: "2026-08-18T00:00:00.000Z"
report_version: "1.0.2"
total_reviews: 0
confidence: "low"
confidence_score: 0.2
data_age_days: 44
momentum_velocity: "maintenance"
intelligence_version: 3
tags: ["utilities", "subscription", "mobile app", "app review", "app analysis", "mobile", "users", "seeking"]
canonical_url: "https://marlvel.ai/apps/file-photo-recovery"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# File & Photo Recovery Intelligence Report

## TL;DR {#tldr}

- **Category**: Utilities · Subscription

> **TL;DR:** File & Photo Recovery is a utilities app by Duc Duong Tran, available on iOS.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** File & Photo Recovery is a utilities app by Duc Duong Tran.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Utilities |
| **Developer** | Duc Duong Tran |
| **Pricing** | Subscription |
| **Platforms** | iOS |
| **Confidence** | Low (0.2/1.0) |
| **Data Age** | 44d |

## Metadata & Market Performance
- **Publisher:** Duc Duong Tran
- **Category:** Utilities
- **Target Audience:** Mobile users seeking to recover accidentally deleted photos, videos, or documents from their device storage.
- **Platforms:** iOS
- **Version Reviewed:** 1.0.2
- **Report Date:** 2026-08-18
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.2/1.0)
- **App Store ID (iOS):** 6783908326
- **Bundle ID:** com.gb.recoveryapp
- **Performance Trend:** Stable
- **Data Window:** Analysis based on signals collected up to 2026-08-18

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** File & Photo Recovery is a utility app for iOS that scans and restores deleted photos, videos, and documents into a protected in-app backup.
**Why users hire it:** The app removes the cognitive cost of permanent data loss by providing a secondary, user-managed repository for files that have been removed from the primary device storage.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Full Device Scan:** Scans media, documents, and audio files across the device storage to identify recoverable items.
- **[Differentiator] Safe Backup Storage:** Restores and saves recovered files within the app environment to prevent future data loss, increasing switching costs.
- **[Basic] Unlimited Recovery:** Premium-tier gate via weekly subscription that removes caps on the number of files restored.
  * *User Intent:* Users seek enhanced value through premium features.
<!-- /section:features -->

<!-- section:market-position -->
## Market Position {#market-position}

File & Photo Recovery occupies the Utilities category, currently ranking #60 Grossing in its specific segment. The reliance on a weekly subscription model suggests a monetization strategy focused on recurring revenue rather than transactional utility value.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Subscription
- **Tiers:** Free tier with limited recovery, Premium tier via auto-renewable weekly subscription
- **Analysis:** Monetization relies on a weekly subscription model that gates unlimited recovery and ad removal.

<!-- section:swot -->
## SWOT Analysis {#swot}

**Core Strengths:**
- In-app backup storage increases user switching costs
- Multi-format recovery addresses diverse data-loss scenarios

**Growth Levers:**
- Localized pricing could capture segments in high-ARPU markets


<!-- /section:swot -->
## Recent Changes (v2 → v3) {#recent-changes}

The app's competitive positioning has shifted to address native OS recovery features as the primary market substitute, while internal analysis now identifies the weekly subscription model as a significant barrier to conversion for episodic users.

**Overall trend**: Stable
**Compared at**: 2026-08-18

### High-impact changes
- **[Shifted] Competitive Framing** (positioning)

### Medium-impact changes
- **[Shifted] Threat Landscape** (swot)
- **[Shifted] Monetization Assessment** (pricing)

<!-- section:whats-new -->
## What's New

- **Latest (v1.0.2, 2 weeks ago):** Addressed minor bug fixes.
<!-- /section:whats-new -->

<!-- section:momentum -->
## App Momentum (Maintenance) {#momentum}

- Ships minor bug fixes only.
- Maintains maintenance-mode release cadence.

> **Cadence:** 1 total versions · 0 majors in last 6 months · 19 days since last update

<!-- /section:momentum -->

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

File & Photo Recovery is an utilities app.

<!-- speakable-start -->
> **Bottom Line:** File & Photo Recovery relies on a subscription model that misaligns with the episodic nature of data recovery. Transitioning to a transactional purchase model would better match user intent and unlock conversion among casual users who currently abandon the funnel.
<!-- speakable-end -->

**Best for:** Mobile users seeking to recover accidentally deleted photos, videos, or documents from their device storage.

<!-- section:pm-actions -->
### PM Action Plan (Next Best Moves)

- [ ] [PIVOT] Pivot the pricing model to include a one-time recovery unlock because weekly subscriptions frustrate episodic users → reduce churn
<!-- /section:pm-actions -->

<!-- section:outlook -->
### Outlook: Stable

The recovery utility market is consolidating around native OS capabilities, which forces third-party tools like File & Photo Recovery to prove value beyond basic restoration. The current maintenance-mode cadence suggests the product is in a steady state, but the subscription-heavy monetization model leaves it vulnerable to more transactional competitors.

- ⚪ Maintenance-mode release cadence indicates the product has reached a stable feature set, reducing the risk of regression-heavy updates.
- 🔴 The weekly subscription model creates a high barrier to entry, which limits the conversion funnel to only the most desperate users.
<!-- /section:outlook -->

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Total Reviews | 0 |
| Confidence | Low |
| Pricing Model | Subscription |
| Platforms | iOS |
| Key Features | 3 analyzed |
| Trend | Stable |
| Outlook | Stable |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **File & Photo Recovery** (this app) | N/A/5 | N/A | Duc Duong Tran |
| [Sota Connect: Secure Network](https://marlvel.ai/apps/fi-catconnect-sota) | 4.9/5 | N/A | Cat Connect |
| [avoVPN Desktop](https://marlvel.ai/apps/avovpn-desktop) | N/A/5 | N/A | Avocado VPN Technologies |
| [Free VPN by Free VPN .org™](https://marlvel.ai/apps/free-vpn-by-free-vpn-org) | 4.5/5 | Mixed | Free VPN LLC |
| [Fusvob VPN : Super VPN 2026](https://marlvel.ai/apps/com-toplinkc-foxexcellent) | 4.4/5 | Mixed | Fuxin Technology |
| [Potatso](https://marlvel.ai/apps/potatso) | 4.4/5 | n/a | Potatso Lab LTD |

## Company Profile
- **Developer:** Duc Duong Tran
- **Website:** [https://goldenboat.io/](https://goldenboat.io/)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/file-photo-recovery/id6783908326?uo=4)
- **Dev Site:** [Official Website](https://goldenboat.io/)
- **Sources:** Developer website content, App store metadata.

## Related Intel Reports
- [*Sota Connect: Secure Network*](https://marlvel.ai/apps/fi-catconnect-sota) (Cat Connect) · 4.9/5 Rating
- [*avoVPN Desktop*](https://marlvel.ai/apps/avovpn-desktop) (Avocado VPN Technologies) · N/A Rating
- [*Free VPN by Free VPN .org™*](https://marlvel.ai/apps/free-vpn-by-free-vpn-org) (Free VPN LLC) · 4.5/5 Rating
- [*Fusvob VPN : Super VPN 2026*](https://marlvel.ai/apps/com-toplinkc-foxexcellent) (Fuxin Technology) · 4.4/5 Rating
- [*Potatso*](https://marlvel.ai/apps/potatso) (Potatso Lab LTD) · 4.4/5 Rating
- [*Quantumult X*](https://marlvel.ai/apps/quantumult-x) (Cross Utility Ltd) · 3.8/5 Rating
- [*V2Box - V2ray Client*](https://marlvel.ai/apps/v2box-v2ray-client) (techlaim) · 4.6/5 Rating
- [*카톡 분석 - 오픈채팅, 카톡 채팅 분석, 통계, 검색*](https://marlvel.ai/apps/com-liger-katalkanalysispaid) (Park Sung Cheol) · N/A Rating
- [*로또 황금번호 생성기*](https://marlvel.ai/apps/lotto-lottogold) (jaehwan lee) · N/A Rating
- [*도사폰 (만세력 역학도구)*](https://marlvel.ai/apps/app--656) (Softchaser Company Limited) · 5.0/5 Rating

## Frequently Asked Questions {#faq}

### Is File & Photo Recovery worth paying for if I only need to recover one file?

The current weekly subscription model is designed for recurring use, which may be expensive for a one-time recovery event.

### How does File & Photo Recovery compare to the built-in 'Recently Deleted' folder?

Native OS features like the 'Recently Deleted' folder are free and integrated; File & Photo Recovery acts as a secondary backup layer for files that have been purged from those native locations.

### Does File & Photo Recovery require a subscription to restore files?

The app offers a free tier with limited recovery, while unlimited recovery and ad removal are gated behind a weekly subscription.

### What are free alternatives to File & Photo Recovery?

Users should first check native OS 'Recently Deleted' folders and cloud-based backups like iCloud Drive or Google Drive before using third-party recovery utilities.

## Methodology {#methodology}

This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline:

1. **Signal Collection & Normalization** - Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps.
2. **Feature & Market Positioning Analysis** - Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks.
3. **User Sentiment Analysis** - Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction into synthesised themes (no verbatim quotes).
4. **Competitive Landscape Analysis** - Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category.
5. **Intelligence Synthesis** - Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights.

- **Confidence Score:** 0.2/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 0
- **Data Sources:** developer website, App Store metadata
- **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform
- **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence.
- **Report Age:** 44 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/file-photo-recovery)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.