--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Stamp Identifier & Stamp Value" developer_entity: "AI POWERED APPS" bundle_id: "com.stamps.identifier" app_store_id: "6745150651" category: "Lifestyle" primary_platform: "ios" primary_monetization: "Freemium" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-02-24" report_date: "2026-04-02" report_version: "1.5" total_reviews: 344 overall_rating: 4.58 confidence: "low" confidence_score: 0.05 data_age_days: 33 intelligence_version: 2 nemesis: "Stamp Identifier: Stamp Scan" competitor_count: 9 tags: ["lifestyle", "freemium", "mobile app", "app review", "app analysis", "stamp", "collectors", "ranging"] canonical_url: "https://marlvel.ai/intel-report/lifestyle/stamp-identifier-stamp-value" license: "CC-BY-NC 4.0" last_verified: "2026-04-18T20:42:26.559Z" --- # Stamp Identifier & Stamp Value App Audit > **TL;DR:** Stamp Identifier & Stamp Value is a lifestyle app by AI POWERED APPS, rated 4.58/5 by 344 users, available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Stamp Identifier & Stamp Value is a lifestyle app by AI POWERED APPS. ## Metadata & Market Performance - **Publisher:** AI POWERED APPS - **Category:** Lifestyle - **Target Audience:** Stamp collectors ranging from casual hobbyists who inherited a collection to serious philatelists managing extensive, high-value portfolios. - **Platforms:** iOS - **Version Audited:** 1.5 - **Audit Date:** 2026-04-02 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 6745150651 - **Bundle ID:** com.stamps.identifier - **Data Window:** Analysis based on signals collected up to 2026-04-02 ## Executive Snapshot Stamp Identifier & Stamp Value is a specialized utility app designed to bridge the gap between traditional philately and modern AI technology. By leveraging camera-based recognition, the app provides instant identification, market valuation, and portfolio management tools for stamp collectors of all experience levels. Positioned within the Lifestyle category, the app targets a dual audience: casual hobbyists who may have inherited collections and require quick identification, and serious philatelists seeking to track the market value of their holdings. Its primary differentiator is the seamless integration of AI-powered recognition with real-time pricing. ## App DNA (Features & Intent) - **[Differentiator] AI Stamp Recognition:** Uses camera-based AI to instantly identify stamp name, country, year, and condition. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Differentiator] Real-Time Value Checker:** Provides current market pricing for rare, vintage, and modern stamps. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Collection Management:** Organize, tag, sort, and filter stamps by various attributes to track a portfolio. * *User Intent:* Users want to quickly find relevant content or features. - **[Standard] Historical Database:** Access to historical background and pricing information for collectible postal items. ## Monetization Strategy - **Model:** Freemium - **Tiers:** Free to download and use core identification features, Likely contains in-app purchases for advanced valuation or unlimited collection management - **Analysis:** The app follows a standard utility-based freemium model, leveraging AI as the primary hook to attract collectors, likely monetizing through premium data access or collection limits. ## SWOT Analysis **Core Strengths:** - Strong focus on AI-driven automation for a traditionally manual task. - High-utility value proposition for both beginners and experts. - Clean, focused feature set that addresses the primary pain points of stamp collecting. **Critical Frictions:** - Lack of established brand presence or social media engagement. - No clear community-building features to foster user retention. - Reliance on AI accuracy which can be a point of failure for rare or damaged stamps. **Growth Levers:** - Expansion into cross-category collecting (e.g., coins, postcards) to increase user lifetime value. - Integration with marketplaces to allow users to sell directly from the app. - Developing a community forum or social sharing feature to increase app stickiness. **Market Threats:** - Established players like Colnect have deeper historical databases that are hard to replicate. - "All-in-one" collector apps may cannibalize the market by offering a single solution for all hobby types. - Potential for low-quality, high-volume competitors to saturate the App Store search results. ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Stamp Identifier & Stamp Value vs Stamp Identifier: Stamp Scan — Head to Head - **Stamp Identifier: Stamp Scan** by Stamp Identifier Team: Direct competitor offering identical AI-powered stamp recognition and valuation features for the same philatelist user base. - **StampCollector: Value & Manage** by Philately Tech: Focuses on the same core job of cataloging collections and providing real-time market pricing for stamps. ### Contenders (Strong Challengers) - **Colnect Collector** by Colnect: A massive, established database for collectors that provides deep historical data and community-driven valuation. - **Stamp Identifier - Scan & Value** by Collectibles AI: Uses similar computer vision technology to identify stamps and track collection value in a mobile-first format. ### Peers (What They Do Better) - **Coin Identifier - Coin Scan** by Collectibles AI: Adjacent hobbyist market; users who collect stamps often collect coins, and the AI identification workflow is identical. - **Antique Identifier** by Antique Experts: Broadens the scope to general antiques, competing for the same 'collector' demographic looking for valuation tools. - **Delcampe** by Delcampe International: A major marketplace for philatelists that provides real-world transaction data, serving as a secondary source for stamp values. ### New Kids on the Block (What's Innovative) - **Collectify: Hobby Tracker** by Collectify Labs: A modern, cross-category collection management app gaining traction with a cleaner UI and social sharing features. - **ScanIt: All-in-One Collector** by Visionary Apps: A newer entrant using advanced machine learning to identify multiple types of collectibles, including stamps, in a single interface. ## The "So What?" (Strategic Takeaway) {#so-what} Stamp Identifier & Stamp Value is an established lifestyle app that is free with in-app purchases. With a 4.58/5 rating from 344 reviews, it shows polarized user reception. **Strategic Opportunity:** While Stamp Identifier & Stamp Value benefits from strong focus on ai-driven automation for a traditionally manual task., its vulnerability lies in lack of established brand presence or social media engagement.. A challenger could exploit this by focusing on expansion into cross-category collecting (e.g., coins, postcards) to increase user lifetime value.. **Best for:** Stamp collectors ranging from casual hobbyists who inherited a collection to serious philatelists managing extensive, high-value portfolios. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.58/5 | | Total Reviews | 344 | | Confidence | Low | | Pricing Model | Freemium | | Platforms | iOS | | Key Features | 4 analyzed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Stamp Identifier & Stamp Value** (this app) | 4.58/5 | N/A | AI POWERED APPS | | [Tinder Dating App: Date & Chat](https://marlvel.ai/intel-report/lifestyle/tinder-dating-app-date-chat) | 4.2/5 | Upset | Tinder LLC | | [Alarmy - Loud alarm clock](https://marlvel.ai/intel-report/lifestyle/alarmy-loud-alarm-clock) | 4.8/5 | Excited | Delight Room Co., Ltd. | | [Swiftime](https://marlvel.ai/intel-report/lifestyle/swiftime) | 4.5/5 | Excited | MEDIANO Co.,Ltd. | | [AlarmMon ( alarm clock )](https://marlvel.ai/intel-report/lifestyle/alarmmon-alarm-clock) | 4.7/5 | Frustrated | Malang Studio Co. Ltd, | | [Alarmie: Easy Rise Alarm Clock](https://marlvel.ai/intel-report/lifestyle/alarmie-easy-rise-alarm-clock) | 4.4/5 | Mixed | Jintian Wang | ## Company Profile - **Developer:** AI POWERED APPS ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/stamp-identifier-stamp-value/id6745150651?uo=4) - **Sources:** App store metadata. ## Related Intel Reports - [*Tinder Dating App: Date & Chat*](https://marlvel.ai/intel-report/lifestyle/tinder-dating-app-date-chat) (Tinder LLC) — 4.2/5 Rating | Terrible Sentiment - [*Alarmy - Loud alarm clock*](https://marlvel.ai/intel-report/lifestyle/alarmy-loud-alarm-clock) (Delight Room Co., Ltd.) — 4.8/5 Rating | Positive Sentiment - [*Swiftime*](https://marlvel.ai/intel-report/lifestyle/swiftime) (MEDIANO Co.,Ltd.) — 4.5/5 Rating | Positive Sentiment - [*AlarmMon ( alarm clock )*](https://marlvel.ai/intel-report/lifestyle/alarmmon-alarm-clock) (Malang Studio Co. Ltd,) — 4.7/5 Rating | Negative Sentiment - [*Alarmie: Easy Rise Alarm Clock*](https://marlvel.ai/intel-report/lifestyle/alarmie-easy-rise-alarm-clock) (Jintian Wang) — 4.4/5 Rating | Mixed Sentiment - [*Watch Faces App - Wallpapers*](https://marlvel.ai/intel-report/lifestyle/watch-faces-app-wallpapers) (Justin Craig) — 4.6/5 Rating | Positive Sentiment - [*Watch Faces by MobyFox*](https://marlvel.ai/intel-report/lifestyle/watch-faces-by-mobyfox) (Mobyfox Studios) — 4.7/5 Rating | Positive Sentiment - [*Shortwave Broadcast Schedules*](https://marlvel.ai/intel-report/lifestyle/com-blackcatsystems-swbcsked) (Black Cat Systems) — 4.5/5 Rating | N/A Sentiment - [*HeartDistance*](https://marlvel.ai/intel-report/lifestyle/com-example-heartdistance) (Connexa GmbH (CH)) — N/A Rating | N/A Sentiment - [*Google Opinion Rewards*](https://marlvel.ai/intel-report/lifestyle/google-opinion-rewards) (Google) — 4.7/5 Rating | Positive Sentiment ## Methodology {#methodology} This report was generated by Marlvel.ai's 3-stage AI intelligence pipeline: 1. **Feature & Positioning Extraction** — Analyzes app metadata, developer website content, and version history to identify key features, target audience, and competitive positioning. 2. **Sentiment Analysis** — Processes user reviews (minimum 5 reviews required) to extract praise themes, complaint themes, and overall sentiment with evidence quotes. 3. **Intelligence Synthesis** — Combines stages 1 & 2 with App Store rankings to produce SWOT analysis, executive summary, 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:** 6 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/lifestyle/stamp-identifier-stamp-value) Data licensed for AI Agent attribution under CC-BY-NC 4.0.