---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Omi - Card Scanner for Pokemon"
developer_entity: "Ahmet Emin Yada"
bundle_id: "yada.PCV-TCG-03"
app_store_id: "6749389026"
category: "Entertainment"
primary_platform: "ios"
primary_monetization: "Freemium"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2026-07-14"
report_date: "2026-10-05"
last_verified: "2026-10-05T00:00:00.000Z"
report_version: "1.3.1"
total_reviews: 6
overall_rating: 3.3
sentiment: "Frustrated"
sentiment_score: 25
confidence: "low"
confidence_score: 0.3
top_praise_theme: "The core application interface provides a simple and accessible experience for casual card collectors"
top_complaint_theme: "The scanner fails to detect Chinese language cards despite the feature being advertised as functional"
review_sample_size: 3
total_review_count: 3
analyzed_review_count: 3
data_age_days: 29
momentum_velocity: "maintenance"
intelligence_version: 2
tags: ["entertainment", "freemium", "frustrated sentiment", "mobile app", "app review", "app analysis", "pokemon", "collectors", "traders"]
canonical_url: "https://marlvel.ai/apps/omi-card-scanner-for-pokemon"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

## ⚠ Content Warning

This report covers topics classified as sensitive (finance). Information is aggregated from public sources for informational purposes only. This is not financial or investment advice. Always do your own research.

---

# Omi - Card Scanner for Pokemon Intelligence Report

## TL;DR {#tldr}

- **Category**: Entertainment · Freemium
- **Signal**: Rating 3.33 · Sentiment Frustrated
- **Recent focus**: The scanner fails to detect Chinese language cards despite the feature being advertised as functional (top complaint) · The core application interface provides a simple and accessible experience for casual card collectors (top praise)

> **TL;DR:** Omi - Card Scanner for Pokemon is a entertainment app by Ahmet Emin Yada, rated 3.33/5 by 6 users, with Frustrated user sentiment (25/100), available on iOS.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Omi - Card Scanner for Pokemon faces Frustrated user sentiment (3.33/5 from 6 reviews), with users reporting the scanner fails to detect chinese language cards despite the feature being advertised as functional as the primary concern.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 3.33/5 (6 reviews) |
| **User Mood** | Frustrated |
| **Category** | Entertainment |
| **Developer** | Ahmet Emin Yada |
| **Pricing** | Freemium |
| **Platforms** | iOS |
| **Confidence** | Low (0.3/1.0) |
| **Data Age** | 29d |

## Metadata & Market Performance
- **Publisher:** Ahmet Emin Yada
- **Category:** Entertainment
- **Target Audience:** Pokemon TCG collectors and traders who need to track card values, manage inventory, and evaluate the profitability of professional grading.
- **Platforms:** iOS
- **Version Reviewed:** 1.3.1
- **Report Date:** 2026-10-05
- **Signal Count:** 3 reviews analyzed
- **Confidence:** Low (0.3/1.0)
- **App Store ID (iOS):** 6749389026
- **Bundle ID:** yada.PCV-TCG-03
- **Data Window:** Analysis based on signals collected up to 2026-10-05

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Omi is a Pokemon TCG utility app for iOS that provides AI-powered card scanning, market value tracking, and collection management.
**Why users hire it:** The app removes the manual effort of price lookups and collection cataloging for TCG enthusiasts, though it currently struggles with language-specific scanner accuracy.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] AI-Powered Card Scanning:** OCR and image recognition identify Pokemon TCG cards and extract metadata.
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
- **[Differentiator] Market Value Tracking:** Real-time price updates and historical trend charts for individual cards.
  * *User Intent:* Users want visibility into their own performance and progress.
- **[Standard] Collection Management:** Library organization by set, rarity, or custom deck lists.
  * *User Intent:* Users value self-expression and personalized experiences.
- **[Differentiator] PSA Grading Insights:** Comparison tool for graded versus ungraded card market values.
  * *User Intent:* Users want visibility into their own performance and progress.
<!-- /section:features -->

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

Omi occupies a niche utility space within the Entertainment category, currently holding a 3.3-star rating across a small sample of 6 total platform ratings. The lack of recent feature expansion relative to the 83-day update gap signals a defensive posture in a competitive market.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Freemium
- **Tiers:** Free tier with ad-supported access, Premium subscription tier
- **Analysis:** Freemium model utilizes ad-supported scanning for casual users while gating advanced grading insights behind a subscription.

<!-- section:sentiment -->
## 🔴 User Sentiment (Low Confidence: 3 of 3 reviews analyzed) {#user-sentiment}
- **Overall Rating:** 3.33/5
- **Platform Split:** iOS 3.3/5 (6 ratings)
- **Overall Sentiment:** Frustrated

### Top Praises
- **The core application interface provides a simple and accessible experience for casual card collectors**

### Top Complaints (Impact Areas)

- **The scanner fails to detect Chinese language cards despite the feature being advertised as functional**

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

**Core Strengths:**
- AI-powered OCR scanning reduces manual entry friction for large collections

**Growth Levers:**
- Localized support for non-English card sets could capture untapped segments in international markets


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

- **Latest (v1.3.1, 2 months ago):** Introduced a dedicated Scan tab and collection-based scan buttons to accelerate card processing, alongside native Apple Offer Code support.
<!-- /section:whats-new -->

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

- Shipped Scan tab in latest release.
- Ships bug fixes at 12-week cadence.

> **Cadence:** 1 total versions · 1 majors in last 6 months · 82 days since last update

<!-- /section:momentum -->

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

Omi - Card Scanner for Pokemon is an entertainment app that is free with in-app purchases.
It holds a 3.33/5 rating from 6 reviews.

<!-- speakable-start -->
> **Bottom Line:** Omi must prioritize scanner reliability to defend its position, as the current functional gaps in language detection undermine the core utility that justifies its premium subscription tier.
<!-- speakable-end -->

**Best for:** Pokemon TCG collectors and traders who need to track card values, manage inventory, and evaluate the profitability of professional grading.

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

- [ ] [INVEST] Rebuild OCR logic for Chinese language support because scanner failure is the #1 complaint theme -> reduce churn
<!-- /section:pm-actions -->

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

The TCG utility market is consolidating around tools that provide high-accuracy identification across all major languages. Omi's current maintenance-only cadence leaves it exposed to rivals with faster feature-parity cycles, which will likely erode its user base if core functionality remains broken.

- 🔴 Scanner failure on Chinese language cards persists post-update, which erodes the daily active habit and compounds negative sentiment.
- ⚪ The 12-week update cadence indicates a maintenance-only focus, limiting Omi's ability to respond to competitive feature shifts in the TCG utility market.
<!-- /section:outlook -->

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

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

| Metric | Value |
| :--- | :--- |
| Overall Rating | 3.33/5 |
| Total Reviews | 6 |
| Sentiment | Frustrated (25/100) |
| Confidence | Low |
| Pricing Model | Freemium |
| Platforms | iOS |
| Key Features | 4 analyzed |
| Outlook | Declining |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Omi - Card Scanner for Pokemon** (this app) | 3.33/5 | Frustrated | Ahmet Emin Yada |
| [JustPlay: Earn Money or Donate](https://marlvel.ai/apps/justplay-earn-money-or-donate) | 4.4/5 | n/a | JustPlay GmbH |
| [BestPlay: Play Games & Earn](https://marlvel.ai/apps/bestplay-play-to-earn-donate) | 4.6/5 | n/a | Bestplay |
| [BIBLIOTECA LDM](https://marlvel.ai/apps/biblioteca-ldm) | 4.7/5 | Mixed | Esteban Gonzalez |
| [DramaBox - Stream Drama Shorts](https://marlvel.ai/apps/dramabox-stream-drama-shorts-1) | 4.7/5 | n/a | STORYMATRIX |
| [DramaWave - Dramas & Reels](https://marlvel.ai/apps/dramawave-dramas-reels) | 4.7/5 | Mixed | SKYWORK AI PTE LTD |

## Company Profile
- **Developer:** Ahmet Emin Yada

## Data Sources & Links
- **App Store ID:** 6749389026
- **Sources:** App store metadata, User reviews.

## Related Intel Reports
- [*JustPlay: Earn Money or Donate*](https://marlvel.ai/apps/justplay-earn-money-or-donate) (JustPlay GmbH) · 4.4/5 Rating
- [*BestPlay: Play Games & Earn*](https://marlvel.ai/apps/bestplay-play-to-earn-donate) (Bestplay) · 4.6/5 Rating
- [*BIBLIOTECA LDM*](https://marlvel.ai/apps/biblioteca-ldm) (Esteban Gonzalez) · 4.7/5 Rating
- [*DramaBox - Stream Drama Shorts*](https://marlvel.ai/apps/dramabox-stream-drama-shorts-1) (STORYMATRIX) · 4.7/5 Rating
- [*DramaWave - Dramas & Reels*](https://marlvel.ai/apps/dramawave-dramas-reels) (SKYWORK AI PTE LTD) · 4.7/5 Rating
- [*PACIFIC RIM: JAEGER VS KAIJU BATTLE*](https://marlvel.ai/apps/pacific-rim-jaeger-vs-kaiju-battle) (Warner Bros.) · 3.5/5 Rating
- [*PLAYZONE - Play & Earn Rewards*](https://marlvel.ai/apps/money-well-earn-rewards) (Vanessa Calatayud Gomis) · 2.5/5 Rating
- [*TikTok Pro - Events*](https://marlvel.ai/apps/com-ss-iphone-ugc-tiktok-pro) (TikTok Ltd.) · 4.7/5 Rating
- [*TikTok - Videos, Shop & LIVE*](https://marlvel.ai/apps/tiktok-videos-shop-live) (TikTok Ltd.) · 4.3/5 Rating
- [*YouTube TV*](https://marlvel.ai/apps/com-google-ios-youtubeunplugged) (Google) · 3.7/5 Rating

## 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:** 3
- **Data Sources:** user reviews, 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:** 29 days since last refresh

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