Ludex — card identification
Strong at recognizing cards from photo (set + variant + estimated value). Condition flags are binary tags rather than sub-grade predictions.
Ludex identifies cards by photo and flags visible condition issues. SnapGradeAI predicts the PSA grade your card will receive, with sub-grade breakdown and confidence-based refunds. Different problems — and many collectors use both.
The shortest fair summary: Ludex is for cataloging your collection by camera; SnapGrade is for deciding which cards to ship to PSA.
Strong at recognizing cards from photo (set + variant + estimated value). Condition flags are binary tags rather than sub-grade predictions.
Predicts your card's PSA grade with centering/corners/edges/surface sub-grades and per-aspect confidence. Calibrated against 412 verified PSA returns.
Ludex: subscription tier (verify current rates). SnapGrade: pay-per-credit, $1–$2/card, 2 free on signup, never expires.
SnapGrade publishes a 412-card public log of prediction vs PSA return. Ludex hasn't (at time of writing) published a comparable verification dataset.
SnapGrade reports have public URLs (snapgradeai.com/r/...) for eBay listings. Ludex collections are app-internal.
Ludex: native iOS + Android apps. SnapGrade: web app, no install needed, runs in mobile browser with camera viewfinder.
Ludex is an AI mobile app that identifies trading cards by photo and flags visible condition issues. It's primarily a cataloging tool — point your camera at a card, get back the set/variant/estimated raw value, and add it to your collection.
SnapGradeAI is an AI pre-grading service that predicts the PSA grade your card will receive, with sub-grade breakdown and confidence-based refunds. The output is a predicted PSA grade with reasoning — designed for the question "should I submit this card to PSA?"
The two solve different problems. Many serious collectors use both — Ludex to ingest the collection, SnapGrade to decide what's submission-worthy.
| Feature | SnapGradeAI | Ludex |
|---|---|---|
| Primary purpose | PSA grade prediction | Card identification + condition flag |
| Accuracy verification | 412 cards public log, 87% within ±0.5 | Marketing claims only (no public log) |
| Sub-grade breakdown | ✅ Centering / Corners / Edges / Surface with confidence per axis | ⚠️ Binary condition tags only |
| Confidence-based refund | ✅ Auto-refund below 70% confidence | ❌ |
| Pricing model | Pay-per-credit, $1–$2/card, never expires | Subscription (verify current) |
| Free tier | 2 free credits, no card required | Free tier with paywalled features |
| Mobile | Web app, no install | Native iOS + Android |
| Card identification | Limited (you label the card) | Strong (set + variant ID) |
| Public shareable report URL | ✅ snapgradeai.com/r/... | ❌ |
| Collection management | ✅ | ✅ |
| Bulk mode | ✅ Drag-drop 20+ at once | Per-card workflow |
| Supports Pokémon | ✅ All eras + Japanese | ✅ |
| Supports Yu-Gi-Oh!, MTG, sports, One Piece, Lorcana | ✅ | ✅ varying |
SnapGrade publishes 412 verified PSA returns with predicted vs actual grade for every card — including the cards we got wrong. Across that dataset: 87% within ±0.5, 89% on Pokémon specifically, 96% within ±1.0.
Ludex (at time of writing) hasn't published a comparable verified-returns dataset. The team makes accuracy claims for the identification model but the condition-flag accuracy isn't documented against PSA outcomes. If verifiable accuracy matters to your workflow, this is the cleanest single differentiator.
You have a large collection AND submit to PSA regularly. Catalog with Ludex; pre-grade submission candidates with SnapGrade. The tools are complementary, not substitutes.
Ludex is the better tool if your primary job is "what is this card and what's it worth?". SnapGrade is the better tool if your primary job is "is this card worth $42 in PSA fees?". The 412-card verified-returns log is the cleanest reason to trust SnapGrade on the second question.
Comparing other AI graders too? See SnapGradeAI vs TAG Grading, SnapGradeAI vs AGS, and SnapGradeAI vs GoCollect Grader.
See how a calibrated PSA pre-grade compares to a condition-flag approach. Two cards on us, no signup friction.