4.8
4,510 条评分
★★★★★
2026年5月9日
2024年8月7日
更新内容
v1.18.4New with Shiny TCG & Pokemon Card Scanner. New population reports and integration with card gem rates.
应用信息
- 开发者
- Shiny Cardboard LLC
- 分类
- Tools
- 价格
- 免费
- 版本
- 1.18.4
- 安装量
- 100,000+
- 包名
- io.getshiny.shiny
简介
Join 1M+ Pokemon card & TCG collectors who trust Shiny to identify their trading cards and manage their collections. Scan your cards to get instant, real-time market values based on TCGPlayer and eBay completed sales. Turn your card collection into a digital portfolio with Shiny - the fastest and most accurate card scanner app for card collectors globally. • Accurate Card Scanner - Leverage the industry's fastest trading card recognition technology with unlimited scanning. • Card Value - Access millions of trading card, sealed product, and card grading prices and historical data for free. • Global Support - Localized pricing data (including MYR, USD, EUR) at your fingertips. • Price Alerts - Set custom price alerts for singles, sealed products, or slabs. • Collection Management - Professionally manage unlimited items, sets, folders, and wish lists for free. • Powerful Search - Advanced filtering tools combined with lightning-fast card scanning. • Centering Tool - Perform advanced card grading checks before sending to PSA, BGS, or CGC. • Cross-Device - Access your TCG collection seamlessly on all your devices. UNMATCHED TCG COVERAGE Shiny supports the world's most popular trading card games with card identification, localization support, and market price data for: • Pokémon (English, Japanese and Chinese) • One Piece (English and Japanese) • Magic the Gathering • Yugioh • Dragon Ball • Gundam • Riftbound • Disney Lorcana • Support for emerging card games Join a global community of collectors! Download Shiny today and experience the industry standard in precision scanning. Turn your physical collection into a digital powerhouse with the market's most trusted data. Shiny Cardboard, LLC contact@getshiny.io
下载量预测
预估总下载量
10K
低 / 月
15K
预估 / 月
29K
高 / 月
基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。
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下载数据为预估值 · 每6小时更新