Your Users Are Struggling
Card identification is the single biggest friction point in marketplace listing flows. Sellers arrive with cards to list but get stuck trying to figure out exactly which parallel, variation, or printing they have. They search through databases, compare images, read forums—wasting minutes per card. Many give up entirely, abandoning listings mid-flow and taking their inventory to platforms with better tools. The sellers who do complete listings often guess wrong, leading to incorrect pricing, buyer disputes, and returns. This isn't just a user experience problem—it's directly costing you GMV as frustrated sellers choose competitors who make listing effortless through AI-powered card identification.
Without Easy Identification:
- Users spend 5-15 minutes researching each card
- They guess (wrong) on parallels and variations
- They abandon listings when it gets frustrating
- They list on competitors with better tools
The Numbers Don't Lie:
- Up to 40% listing abandonment rate during card identification
- 3-5 minutes average time to identify a single card
- Up to 25% of listings have incorrect card information
- Potentially $1000s lost on misidentified parallels
Your competitors with card recognition see up to 3x higher listing completion rates.
The CardSight AI Solution
CardSight transforms your listing flow from a frustrating research project into an instant, accurate experience. Sellers snap a photo, and your platform returns complete card details in under a second—player name, year, set, card number, parallel type, and variation. Our 99.5% accuracy across 14M+ trading cards means sellers can trust the identification without second-guessing, and your buyers receive accurate listings that match what they're purchasing. Integration takes under a week: add our API endpoint to your upload flow, and suddenly you're competing with major marketplaces on listing experience. The result is measurably higher listing completion rates, reduced buyer disputes, increased seller retention, and more GMV flowing through your platform.
Sub-second Identification
User uploads photo → Your platform returns complete card details. No more manual searching, guessing, or abandonment
99.5% Accuracy on 8,250+ Sets
- Baseball, football, basketball, and hockey from 1933-present, plus MMA, Pokemon, Magic, and One Piece
- Including parallels, variations, and special editions
- Graded slabs identified correctly
- TCG language detection across 8 languages, including Japanese
- Works even with poor lighting or angles
Simple Integration, Powerful Results
import { CardSightAI } from 'cardsightai';
// Initialize the client
const client = new CardSightAI({ apiKey: 'your_api_key_here' });
// Identify a card from an image
const imageFile = // File, Blob, Buffer, or ArrayBuffer
const result = await client.identify.card(imageFile);
// Access identification results
if (result.data?.success) {
const detection = result.data.detections?.[0];
if (detection?.card) {
console.log(`Card: ${detection.card.name}`);
console.log(`Confidence: ${detection.confidence}`);
console.log(`Total cards detected: ${result.data.detections.length}`);
}
}
// Response structure for multiple cards:
// {
// success: true,
// requestId: "req_xyz789",
// detections: [
// {
// confidence: "High",
// card: { /* Card details */ }
// }
// ],
// processingTime: 1500
// }