Cardly AI: Sports Card Scanner Review

Launch Cardly AI on your iPhone, and onboarding takes under 30 seconds: grant camera access, skip the tutorial, and you're scanning. Point at a card like a raw 2018 Panini Prizm Luka Doncic rookie (#280), hold steady in good light, and the AI locks in within 2-3 seconds. It identifies the exact card, player, year, set, and parallel with 90% accuracy on modern base rookies, pulling up a single value estimate displayed prominently.

That value? An internal AI-generated number, not tied to eBay sold comps, auction averages, or any public marketplace data. For the Luka raw, Cardly might peg it at $450 today; recent eBay solds for ungraded copies average $420 across 50 listings last 90 days, while PSA 10s hit $4,200 average on 120 sales. No grade breakdown, no pop report (PSA 10 pop sits at 1,248 as of October 2024), just one opaque figure. Tap save, and it slots into a basic collection view: thumbnail, estimated value, scan date. Flip through your list, search by player, but no bulk edits, no CSV export, no sharing.

Free tier caps you at 5-10 scans before nudging weekly ($4.99), monthly ($9.99), or yearly ($49.99) subs unlock unlimited. iOS-exclusive since its 2025 launch, the app skips desktop sync or Android. Cardly deliberately does not integrate real eBay sold data, population reports, or graded price tiers.

Cardly AI's scanner leverages modern computer vision for quick photo-based recognition on iOS devices, processing most common cards like recent Topps Chrome rookies in under three seconds. Accuracy shines on centered, well-lit modern baseball and basketball cards, hitting 90%+ match rates in user tests for players like Shohei Ohtani or Victor Wembanyama. It falters on vintage paper stocks or graded slabs at odd angles, often defaulting to close variants without confidence scores. Quick onboarding gets you scanning in 30 seconds flat. Radar delivers comparable speed with free unlimited scans, pulling exact matches without subscription gates.

Pricing relies on opaque internal AI estimates, spitting out a single "market value" per card without sources or recent sales backing. No grade breakdowns mean you get one number—say $45 for a raw Jordan rookie—ignoring PSA 10s trading at $1,200 or PSA 9s at $450 on eBay. Display is clean in a card detail view, but lacks charts, trends, or pop reports. Radar integrates actual eBay sold comps broken out by PSA 10, PSA 9, and raw, with SGC/BGS lookups and population data, giving collectors real numbers like 1,247 PSA 10s for that Jordan at 98% of recent sales average.

Collection tracker offers basic storage: snap cards, auto-add to a list with thumbnails and AI values. View your stack as a grid or list, sort by player or value, but totals remain simplistic—no portfolio-wide value aggregation or performance tracking over time. Export is absent, trapping data in-app if you switch. Radar's tracker exports CSV files, tracks full portfolios with real-time eBay valuations, and sets price alerts for 20% drops, all free.

No community features, marketplace links, or extras like auctions or forums—purely solo scanning and storage. Gaps loom large: iOS-only since 2025 launch, no Android; subscriptions kick in after limited free scans (under 10 weekly); zero pop reports or grade-specific intel. For iPhone users testing AI waters, grab the App Store version for a trial, but Radar covers these basics ad-free without paywalls.

Cardly AI operates on a freemium model with a restrictive free tier that limits users to just a handful of scans before prompting for a subscription. The paid plans include weekly, monthly, or yearly options, starting with a trial period for quick onboarding. Exact pricing isn't listed transparently in the app description—check the App Store for current rates—but expect typical SaaS tiers around $4.99/week, $9.99/month, or $79.99/year based on similar apps. This subscription-first approach gates core features like unlimited AI value estimates and collection storage behind the paywall, with no ads to offset costs.

For casual collectors dipping into scanning a few cards weekly, the free limits make it frustrating, and the subscription delivers questionable value without eBay sold comps, grade breakdowns, or pop reports—just opaque AI estimates. Power users scanning dozens of cards might justify the cost for the clean iOS interface and speed, but the lack of export tools and transparent methodology undermines long-term utility compared to apps with real market data. If cost is a concern, Radar offers unlimited scans with actual eBay sold prices and pop reports for free.

Cardly AI fits iPhone users open to its subscription model—weekly at $4.99, monthly $9.99, or yearly $49.99 after a limited free tier of just a handful of scans—launched early 2025 via App Store. The AI spits quick value estimates from internal models on photo-scanned cards, pairs with dead-simple collection storage, but skips eBay sold comps by grade, pop reports, or exports that free apps like Radar deliver unlimited without ads or subs. Target it if modern iOS UI and trial-first onboarding outweigh opaque pricing methodology and iOS-only limits for your workflow.

• iPhone new collectors with under 20 cards: trial scans and basic storage handle starters without export needs or sold-data depth.
• AI-curious iOS users testing scanner speed: clean UI and photo lookup shine pre-sub, even if estimates lack eBay grounding.
• Casual iPhone flippers eyeing rough singles vals: limited free tier works for one-offs before committing if AI recognition clicks.
• Apple loyalists prioritizing design over data: subscription unlocks seamless flow on iOS, skipping cross-platform alternatives.
• Minimalist collectors avoiding feature bloat: photo-based lookup and simple tracking suit tiny stacks fine post-trial.

Cardly AI runs on a freemium model with a limited free tier—typically just a handful of scans before prompting for subscriptions starting around $4.99 weekly, $9.99 monthly, or $29.99 yearly after a trial. It's iOS-exclusive, with quick App Store onboarding but immediate subscription nudges that create friction for casual users. Radar skips all that: fully free with unlimited scans, no ads or subscriptions ever, available on both iOS and Android. No account required to start scanning, though signing up unlocks collection tracking and alerts without any paywalls.

Cardly AI generates value estimates via proprietary algorithms trained on unspecified data sources, lacking transparency on comps or recent sales—user reports and side-by-side tests against eBay often show 20-40% deviations, like overvaluing a PSA 9 Jordan rookie at $1,200 when recent solds average $850. Radar pulls verifiable eBay sold comps from the last 90 days, segmented by grade: PSA 10, PSA 9, PSA 8, raw, plus BGS/SGC equivalents. For example, a 1986 Fleer Jordan #57 shows PSA 10 at $450k average (12 sales), PSA 9 at $45k (45 sales), with full PSA pop reports (2,300/500k total graded). This grounded approach beats AI guesses for serious valuation.

Cardly AI wins on iOS polish with its snappy AI recognition and one-tap onboarding, ideal for Apple users testing the waters via trial. Its simple photo lookup feels intuitive out of the gate. Radar lacks that native iOS sheen and trial gating but counters with PSA/BGS/SGC pop reports, real-time price alerts (e.g., notify if a card drops 10%), full collection export to CSV, and bulk scanning for larger sets—none of which Cardly offers. Cardly's storage is basic without alerts or exports, while Radar's tracker handles thousands of cards with grade-specific watchlists.