返回榜單
StarSnap: Sports Card Scanner

StarSnap: Sports Card Scanner

Next Vision Limited

Tools免費v1.0.4Android
Google Play
評分

4.7

9,379 則評分

星級

★★★★★

最近更新

2026年3月31日

發佈日期

2026年1月28日

更新內容

v1.0.4

StarSnap is now on Android! Identify sports cards, get accurate market values, and organize your collection with ease. We’ve also made performance improvements and bug fixes for a smoother experience.

應用資訊

開發者
Next Vision Limited
分類
Tools
價格
免費
版本
1.0.4
安裝量
50,000+
套件名稱
com.sportscardsnap.identifier

簡介

Discover the true value of your sports cards with StarSnap – the smart app to identify, value, and manage your collection. Snap a photo to instantly recognize players, series, card types, and get market price estimates along with grading insights. Whether you’re a rookie collector, seasoned trader, or investor, StarSnap is your all-in-one sports card companion. What can StarSnap do? - Accurate Market Valuation – Quickly assess if your card is a common collectible or a valuable rare piece before buying or selling. - Instant Card Identification – Identify player, sport, issuing year, series, card number, and special attributes like autographs or limited editions with one scan. - Grading & Condition Guidance – Receive condition grading suggestions (Mint, Near Mint, Excellent, etc.) to price cards confidently. - Collection Management – Save scans, track total collection value, and monitor investment growth. - Learn & Explore – Access articles on collecting strategies, player legacies, and market trends. Why Choose StarSnap? Accurate — Reliable valuations in seconds Effortless — Simply scan, no manual lookup Insightful — Detailed card and market information at your fingertips Organized — Manage and grow your entire sports card collection Privacy Policy: https://app-service.sportscardworth.com/static/privacy_policy.html Terms of Use: https://app-service.sportscardworth.com/static/user_agreement.html

下載量預測

專業 · 預覽

預估總下載量

695K469K1.3M
保守估計樂觀估計

117K

低 / 月

174K

預估 / 月

335K

高 / 月

基於9,379 則評分
假設評分率1.4%
應用年齡4 個月

基於評分數量 ÷ 類別評分率估算,實際下載量誤差可達 ±50%。