---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Auto Video Blur - Filtering"
developer_entity: "Osawa Shunsuke"
bundle_id: "jp.shunsuke-osawa.AutoVideoBlur"
app_store_id: "1625337311"
category: "Photo & Video"
primary_platform: "ios"
primary_monetization: "Freemium"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2026-09-26"
report_date: "2026-10-02"
last_verified: "2026-10-02T00:00:00.000Z"
report_version: "3.4"
total_reviews: 32
overall_rating: 4.3
confidence: "low"
confidence_score: 0.3
data_age_days: 43
momentum_velocity: "steady"
intelligence_version: 2
tags: ["photo & video", "freemium", "mobile app", "app review", "app analysis", "social", "media", "users"]
canonical_url: "https://marlvel.ai/apps/auto-video-blur-filtering"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Auto Video Blur - Filtering Intelligence Report

## TL;DR {#tldr}

- **Category**: Photo & Video · Freemium
- **Signal**: Rating 4.28

> **TL;DR:** Auto Video Blur - Filtering is a photo & video app by Osawa Shunsuke, rated 4.28/5 by 32 users, available on iOS.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Auto Video Blur - Filtering is a photo & video app by Osawa Shunsuke.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 4.28/5 (32 reviews) |
| **Category** | Photo & Video |
| **Developer** | Osawa Shunsuke |
| **Pricing** | Freemium |
| **Platforms** | iOS |
| **Confidence** | Low (0.3/1.0) |
| **Data Age** | 43d |

## Metadata & Market Performance
- **Publisher:** Osawa Shunsuke
- **Category:** Photo & Video
- **Target Audience:** Social media users and content creators who need to redact sensitive information like faces, addresses, or license plates from videos before sharing.
- **Platforms:** iOS
- **Version Reviewed:** 3.4
- **Report Date:** 2026-10-02
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.3/1.0)
- **App Store ID (iOS):** 1625337311
- **Bundle ID:** jp.shunsuke-osawa.AutoVideoBlur
- **Data Window:** Analysis based on signals collected up to 2026-10-02

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Auto Video Blur is an iPhone utility that uses on-device AI to automatically detect and redact faces, text, and other sensitive objects in videos.
**Why users hire it:** The app removes the privacy friction of uploading sensitive personal footage to cloud servers for redaction, serving users who need to sanitize content before sharing it on social media.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] AI-Based Auto-Detection:** Automatically identifies faces, eyes, mouths, full-body people, and text in video frames.
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
- **[Differentiator] On-Device Processing:** Performs all detection and editing locally on the iPhone without cloud uploads.
  * *User Intent:* Users expect seamless access across multiple devices.
- **[Differentiator] Multi-Target Blur:** Applies blur or pixelation to multiple detected objects simultaneously.
<!-- /section:features -->

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

Auto Video Blur maintains a stable presence in the Photo & Video category, anchored by a 4.28 rating across 32 total reviews. The app's focus on privacy-centric, on-device processing differentiates it from broader video editors that rely on cloud-based AI.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Freemium
- **Tiers:** Free version with ads and limited filters, Pro Edition as a one-time purchase
- **Analysis:** The one-time purchase model for Pro features serves as a retention lever for users who prefer avoiding recurring subscription costs.

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

**Core Strengths:**
- On-device processing removes cloud-upload privacy friction
- One-time purchase model lowers long-term switching costs

**Growth Levers:**
- Add frame-by-frame manual tracking to capture power users
- Expand sticker library to increase creative engagement


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

- **Latest (v3.4, 6 days ago):** Added an Output setting to toggle date and location metadata in saved videos, with Pro Edition required to retain this data.
<!-- /section:whats-new -->

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

- Ships frequent updates, two in last month.
- Added configurable metadata settings in latest release.

> **Cadence:** 2 total versions · 1 majors in last 6 months · 6 days since last update · 22 days avg between updates

<!-- /section:momentum -->

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

Auto Video Blur - Filtering is a photo & video app that is free with in-app purchases.
It holds a 4.28/5 rating from 32 reviews.

<!-- speakable-start -->
> **Bottom Line:** Auto Video Blur's on-device privacy mechanism secures its position against cloud-dependent rivals, but the detection engine's limitations in complex lighting require immediate attention to prevent churn. Addressing these accuracy gaps will unlock higher conversion rates for the Pro Edition.
<!-- speakable-end -->

**Best for:** Social media users and content creators who need to redact sensitive information like faces, addresses, or license plates from videos before sharing.

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

- [ ] [INVEST] Ship frame-by-frame manual tracking because auto-detection struggles with dark scenes → increase retention for power users.
<!-- /section:pm-actions -->

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

The market for privacy-focused redaction tools is expanding, but Auto Video Blur must improve its detection accuracy to remain competitive against larger editors. Continued investment in the detection engine will solidify its position as the go-to tool for privacy-conscious creators.

- 🟢 The latest release added user-configurable metadata settings, demonstrating active feature investment rather than maintenance-only updates.
- 🔴 Detection failures on dark or profile-view faces create a high-friction experience that limits the app's utility for professional-grade content creators.
<!-- /section:outlook -->

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

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

| Metric | Value |
| :--- | :--- |
| Overall Rating | 4.28/5 |
| Total Reviews | 32 |
| Confidence | Low |
| Pricing Model | Freemium |
| Platforms | iOS |
| Key Features | 3 analyzed |
| Outlook | Stable |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Auto Video Blur - Filtering** (this app) | 4.28/5 | N/A | Osawa Shunsuke |
| [AI Catch: AI Video Generator](https://marlvel.ai/apps/com-prominent-aicatch) | 4.5/5 | n/a | Prominent Fortune PTE. LTD |
| [AI Video Editor・Trim, Compress](https://marlvel.ai/apps/ai-video-editor-trim-compress) | N/A/5 | N/A | Ankitbhai Jivani |
| [Cantina: AI Video & Characters](https://marlvel.ai/apps/is-signal-ios) | 4.8/5 | N/A | Cantina, Inc |
| [CapCut: Photo & Video Editor](https://marlvel.ai/apps/capcut-photo-video-editor) | 4.1/5 | Mixed | Bytedance Pte. Ltd |
| [Instagram](https://marlvel.ai/apps/instagram) | 4.3/5 | n/a | Instagram, Inc. |

## Company Profile
- **Developer:** Osawa Shunsuke
- **Website:** [https://nomadarian.com/](https://nomadarian.com/)
- **Social:** [Facebook](https://www.facebook.com/shunsuke.oosawa) · [X/Twitter](https://twitter.com/dancingpandor)

## Data Sources & Links
- **App Store ID:** 1625337311
- **Dev Site:** [Official Website](https://nomadarian.com/)
- **Sources:** Developer website content, About us / company information, App store metadata.

## Related Intel Reports
- [*AI Catch: AI Video Generator*](https://marlvel.ai/apps/com-prominent-aicatch) (Prominent Fortune PTE. LTD) · 4.5/5 Rating
- [*AI Video Editor・Trim, Compress*](https://marlvel.ai/apps/ai-video-editor-trim-compress) (Ankitbhai Jivani) · N/A Rating
- [*Cantina: AI Video & Characters*](https://marlvel.ai/apps/is-signal-ios) (Cantina, Inc) · 4.8/5 Rating
- [*CapCut: Photo & Video Editor*](https://marlvel.ai/apps/capcut-photo-video-editor) (Bytedance Pte. Ltd) · 4.1/5 Rating
- [*Instagram*](https://marlvel.ai/apps/instagram) (Instagram, Inc.) · 4.3/5 Rating
- [*Lightroom: AI Photo Editor*](https://marlvel.ai/apps/lightroom-ai-photo-editor) (Adobe Inc.) · 4.8/5 Rating | Positive Sentiment
- [*Picsart AI Photo Editor, Video*](https://marlvel.ai/apps/picsart-ai-photo-editor-video) (PicsArt, Inc.) · 4.3/5 Rating
- [*Prismatic: A PhotoPrism Client*](https://marlvel.ai/apps/prismatic-a-photoprism-client) (Shuowei Li) · 4.0/5 Rating
- [*Video Star*](https://marlvel.ai/apps/com-frontierdesign-videostar) (Frontier Design Group) · 3.5/5 Rating
- [*짤봇*](https://marlvel.ai/apps/blackturtle2-jjalbot-ios) (jaesung Lee) · N/A Rating

## Frequently Asked Questions {#faq}

### Is Auto Video Blur safe to use for private videos?

Yes. All detection and editing happen locally on your iPhone, and your videos are never uploaded to a server.

### Does the free version include all features?

The free version includes auto-blur for faces, eyes, mouths, people, and text, plus 14 filters and 17 stickers. Pro features like 4K export and multi-target blur require a one-time purchase.

### What should I do if the AI misses a face?

You can use the 'Manually select blur area' feature to draw a box over any area that the auto-detection misses.

## 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:** 0.3/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 0
- **Data Sources:** developer website, company about page, 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:** 43 days since last refresh

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