--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Cardzia - Scan & valeur TCG" developer_entity: "Cardzia" bundle_id: "com.cardzia.cardzia" app_store_id: "6751027816" category: "Reference" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-05-07" report_date: "2026-05-19" last_verified: "2026-05-19T17:23:48.008Z" report_version: "1.0.4" total_reviews: 0 confidence: "low" confidence_score: 0.05 data_age_days: 43 momentum_velocity: "intense" intelligence_version: 2 tags: ["reference", "free", "mobile app", "app review", "app analysis", "pokémon", "piece", "trading"] canonical_url: "https://marlvel.ai/apps/com-cardzia-cardzia" license: "CC-BY-NC 4.0" content_version: "v2" --- # Cardzia - Scan & valeur TCG App Audit ## TL;DR {#tldr} - **Category**: Reference · Free > **TL;DR:** Cardzia - Scan & valeur TCG is a reference app by Cardzia, available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Cardzia - Scan & valeur TCG is a reference app by Cardzia. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Reference | | **Developer** | Cardzia | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 43d | ## Metadata & Market Performance - **Publisher:** Cardzia - **Category:** Reference - **Target Audience:** Pokémon and One Piece trading card game collectors looking to digitize and track their collection's market value. - **Platforms:** iOS - **Version Audited:** 1.0.4 - **Audit Date:** 2026-05-19 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 6751027816 - **Bundle ID:** com.cardzia.cardzia - **Data Window:** Analysis based on signals collected up to 2026-05-19 ## Executive Snapshot Cardzia is a French-market reference application designed for Pokémon and One Piece TCG collectors to track card values and manage inventories. It utilizes image recognition to automate the identification and valuation of cards, eliminating the need for manual spreadsheet tracking. ## App DNA (Features & Intent) - **[Standard] Instant Card Scanning:** Uses the device camera to automatically detect Pokémon and One Piece cards, including their specific series and version. - **[Standard] Automated Valuation:** Provides real-time market value data for scanned cards to help users monitor their collection's worth. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Collection Management:** Allows users to organize their inventory, track card conditions, and identify duplicates to streamline collection maintenance. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. ## Monetization Strategy - **Model:** Free ## App Momentum (Intense) {#momentum} Last updated 12d ago. 4 versions tracked. > **Cadence:** 4 total versions · 0 majors in last 6 months · 12 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Cardzia - Scan & valeur TCG is an established reference app that is completely free. > **Bottom Line:** Cardzia serves as a specialized inventory and valuation tool that simplifies TCG collection management through automated image recognition. **Best for:** Pokémon and One Piece trading card game collectors looking to digitize and track their collection's market value. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Cardzia - Scan & valeur TCG** (this app) | N/A/5 | N/A | Cardzia | | [Hallow: Prayer & Meditation](https://marlvel.ai/apps/hallow-prayer-meditation) | 4.7/5 | Excited | Hallow, Inc. | | [Islamic World - Ramadan 2026](https://marlvel.ai/apps/islamic-world-ramadan-2026) | 4.7/5 | N/A | AppAspect Technologies Pvt. Ltd. | | [Dua - Quran Hisnul Muslim Duas](https://marlvel.ai/apps/dua-quran-hisnul-muslim-duas) | 4.5/5 | N/A | ImranQureshi.com | | [LuckyGame - Video Game Tracker](https://marlvel.ai/apps/luckygame-video-game-tracker) | 4.1/5 | N/A | Stuck at Home, LLC | | [LookUp: English Dictionary](https://marlvel.ai/apps/lookup-english-dictionary) | 4.7/5 | N/A | Squircle Apps LLP | ## Company Profile - **Developer:** Cardzia ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/fr/app/cardzia-scan-valeur-tcg/id6751027816?uo=2) - **Sources:** App store metadata. ## Related Intel Reports - [*Hallow: Prayer & Meditation*](https://marlvel.ai/apps/hallow-prayer-meditation) (Hallow, Inc.) — 4.7/5 Rating | Positive Sentiment - [*Islamic World - Ramadan 2026*](https://marlvel.ai/apps/islamic-world-ramadan-2026) (AppAspect Technologies Pvt. Ltd.) — 4.7/5 Rating | N/A Sentiment - [*Dua - Quran Hisnul Muslim Duas*](https://marlvel.ai/apps/dua-quran-hisnul-muslim-duas) (ImranQureshi.com) — 4.5/5 Rating | N/A Sentiment - [*LuckyGame - Video Game Tracker*](https://marlvel.ai/apps/luckygame-video-game-tracker) (Stuck at Home, LLC) — 4.1/5 Rating | N/A Sentiment - [*LookUp: English Dictionary*](https://marlvel.ai/apps/lookup-english-dictionary) (Squircle Apps LLP) — 4.7/5 Rating | N/A Sentiment - [*Motivation - Quotes & Music*](https://marlvel.ai/apps/motivation-quotes-music) (Tien Long Nguyen) — 4.8/5 Rating | N/A Sentiment - [*Phonecard Identifier*](https://marlvel.ai/apps/phonecard-identifier) (Amir Wald) — 5.0/5 Rating | N/A Sentiment - [*Siddur - Edot HaMizrach*](https://marlvel.ai/apps/siddur-edot-hamizrach) (Dor Pascal) — 1.0/5 Rating | N/A Sentiment - [*Sanskrit/English Dictionary*](https://marlvel.ai/apps/sanskrit-english-dictionary) (FB PUBLISHING LLC) — 4.7/5 Rating | N/A Sentiment - [*Antique Appraisal: ID Anything*](https://marlvel.ai/apps/antique-appraisal-id-anything) (Dung Vu) — 5.0/5 Rating | N/A Sentiment ## 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 and evidence quoting. 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:** 0.05/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** 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/com-cardzia-cardzia) Data licensed for AI Agent attribution under CC-BY-NC 4.0.