List Raw Cards in Seconds,
Not Minutes
If it takes 5 minutes to list a $0.50 card, you're losing money on every raw card you process. CardSight AI identifies raw cards instantly — snap a photo, get the player, year, manufacturer, set, and card number. Turn your inventory into listings at the speed your business demands.
< 1 Second
Per card identification time
99.5%
Accuracy across 14M+ trading cards
Multi-Card
Scan multiple raw cards at once
Performance claims based on production benchmarks. See our technical documentation for methodology and testing details.
The Raw Card Problem
Every seller knows the math doesn't work. You've got boxes of raw cards to list, but identifying each one manually — searching databases, comparing images, figuring out which parallel or variation you're holding — takes minutes per card. At that rate, low-value cards cost more to list than they're worth. We built CardSight AI because we've been there ourselves, sorting through stacks of raw cards and knowing there had to be a better way. High-volume sellers need a faster way, and that's exactly what we've built.
Manual Raw Card Processing:
- 3-5 minutes per card to research and list manually
- Impossible to profit on low-value raw cards at that pace
- Figuring out the exact set and card number requires deep hobby knowledge
- Scaling inventory means hiring more people, not working smarter
With CardSight AI:
- Snap a photo, get identification in under a second
- Even $0.50 cards become worth listing at seconds per card
- Player, year, set, and card number identified automatically
- Parallel suggestions for baseball (beta) — confirm the right refractor or color instead of guessing
- One person can process what used to take a team
Every Match Saves You Time
We'd rather get you close than be confidently wrong. CardSight AI always works to get you as close to an accurate identification as it can, and tells you exactly how confident it is. Even a partial match dramatically cuts your research time — instead of starting from scratch, you start most of the way there.
High Confidence
Exact card identified down to the specific set and card number. Ready to list immediately.
Full identification in < 1 second vs. 3-5 minutes manual
Medium Confidence
Release and set identified, but the specific card needs a quick confirmation. You're most of the way there — just verify the player or card number from a short list.
Narrow from thousands of possibilities to a handful
Low Confidence
Release identified but the specific set and card aren't certain. Still a huge head start — you know exactly what product you're looking at.
Skip the hardest part: figuring out what product you're holding
NVIDIA Inception MemberBuilt for How Sellers Actually Work
Single Card Listing
Snap a photo of a raw card, get instant identification, and list it with accurate details. Perfect for sellers working through a stack of cards.
Seconds per card instead of minutes
Bulk Processing
Photograph a binder page or spread of raw cards. Multi-card detection identifies every card in a single API call. Process entire collections efficiently.
Multiple raw cards identified simultaneously
Inventory Automation
Build automated workflows that scan, identify, and pre-populate listings. Connect to your existing tools and marketplaces via API.
Integrate into your existing selling workflow
Card Shop Operations
Process incoming bulk buys and collection purchases faster. Identify raw cards on the spot to make informed buying decisions and speed up inventory intake.
Know what you're buying before you buy it
Simple to Integrate
Whether you're building a custom listing tool or connecting to an existing platform, raw card identification is just a few lines of code — or use a no-code tool like Replit or Lovable.
import { CardSightAI, getExactMatches, filterByConfidence } from 'cardsightai';
const client = new CardSightAI({ apiKey: 'your_api_key_here' });
// Identify a raw card from a photo
const result = await client.identify.card(photoFile);
// Use confidence levels to optimize your listing workflow
const exactMatches = getExactMatches(result.data);
if (exactMatches.length > 0) {
// High confidence — auto-populate the listing
const card = exactMatches[0].card;
createListing({
player: card.name,
year: card.year,
release: card.releaseName,
set: card.setName,
number: card.number,
parallel: card.parallel?.name
});
} else {
// Partial match — show seller the best match to confirm
const bestGuess = filterByConfidence(result.data, 'Medium');
showConfirmation(bestGuess);
}Enterprise-Ready Infrastructure
Privacy & Compliance
No PII is stored or processed. Safe for businesses operating in regulated environments.
Scales With You
From hundreds to millions of identifications. Infrastructure that grows with your business.
Global CDN
Fast response times worldwide. Your scanning tools work instantly wherever you operate.
SLA Guarantee
99.9% uptime commitment. Your listing workflow stays running when you need it most.
White-Label Options
Custom endpoints and branding available for enterprise partners and reseller platforms.
Dedicated Support
Direct access to our engineering team throughout integration and beyond.
Enterprise Pricing for High-Volume Sellers
Built for businesses that process thousands of raw cards
Whether you're an individual seller scaling up or a company processing bulk inventory, our enterprise plans are designed for the volume and reliability your business requires.
Volume Pricing
Cost per identification drops as your volume grows. The more you scan, the more you save.
No Rate Limits
Process cards as fast as you can photograph them. No throttling during peak listing sessions.
Uptime Guarantees
99.9% SLA so your scanning workflow never stops. Service credits if we miss the mark.
Dedicated Support
Direct line to our engineering team for integration help and ongoing optimization.
Frequently Asked Questions
Common questions about raw card scanning and identification
CardSight AI identifies raw baseball, football, basketball, hockey, MMA, Pokémon TCG, and One Piece TCG cards from 1933 to present — 14M+ trading cards across thousands of sets, plus full US retail Pokémon TCG coverage across 172 sets dating back to Base in 1999 and full US retail One Piece TCG coverage across 56 releases since 2022. The system works with raw cards in any condition and graded slabs from PSA, BGS, SGC, TAG, and other grading companies. Magic: The Gathering is now available — card identification is live and the full catalog of 250+ releases is searchable, with market data coming soon. MMA is now available as well, with nearly 300 releases spanning 35+ years from Topps, Leaf, Panini, and other publishers. TCG scans also report the language the card was printed in across eight languages, so a Japanese print never gets listed as its US counterpart.
CardSight AI achieves 99.5% accuracy (mAP) across all supported sets. The system provides confidence levels (High, Medium, Low) so you always know how certain the identification is. Even partial matches save significant time by narrowing possibilities from thousands to just a few options.
Yes. Multi-card detection lets you photograph a binder page, a spread of cards on a table, or a vendor display and identify every card in a single API call. This is ideal for bulk processing and inventory intake.
CardSight AI returns a confidence level with every identification. High confidence means the exact card is identified — player, year, set, and card number. Medium confidence means the player and release are identified but the specific set or card number needs a quick confirmation. Even low confidence identifies the year and manufacturer, saving you the hardest part of the research.
CardSight AI provides a REST API with native SDKs for Node.js, Python, Swift, Java, and .NET. Integration typically takes less than a day for developers. Non-technical sellers can use no-code tools like Replit or Lovable to build custom scanning workflows without writing code.
Both. CardSight AI identifies raw cards and graded slabs from PSA, BGS, SGC, TAG, and other major grading companies. The system detects the slab, reads the label, and identifies the card inside — so whether you're processing raw inventory or listing graded cards, the same API handles it all.
Tap any question to expand
CardSight AI identifies raw baseball, football, basketball, hockey, MMA, Pokémon TCG, and One Piece TCG cards from 1933 to present — 14M+ trading cards across thousands of sets, plus full US retail Pokémon TCG coverage across 172 sets dating back to Base in 1999 and full US retail One Piece TCG coverage across 56 releases since 2022. The system works with raw cards in any condition and graded slabs from PSA, BGS, SGC, TAG, and other grading companies. Magic: The Gathering is now available — card identification is live and the full catalog of 250+ releases is searchable, with market data coming soon. MMA is now available as well, with nearly 300 releases spanning 35+ years from Topps, Leaf, Panini, and other publishers. TCG scans also report the language the card was printed in across eight languages, so a Japanese print never gets listed as its US counterpart.
CardSight AI achieves 99.5% accuracy (mAP) across all supported sets. The system provides confidence levels (High, Medium, Low) so you always know how certain the identification is. Even partial matches save significant time by narrowing possibilities from thousands to just a few options.
Yes. Multi-card detection lets you photograph a binder page, a spread of cards on a table, or a vendor display and identify every card in a single API call. This is ideal for bulk processing and inventory intake.
CardSight AI returns a confidence level with every identification. High confidence means the exact card is identified — player, year, set, and card number. Medium confidence means the player and release are identified but the specific set or card number needs a quick confirmation. Even low confidence identifies the year and manufacturer, saving you the hardest part of the research.
CardSight AI provides a REST API with native SDKs for Node.js, Python, Swift, Java, and .NET. Integration typically takes less than a day for developers. Non-technical sellers can use no-code tools like Replit or Lovable to build custom scanning workflows without writing code.
Both. CardSight AI identifies raw cards and graded slabs from PSA, BGS, SGC, TAG, and other major grading companies. The system detects the slab, reads the label, and identifies the card inside — so whether you're processing raw inventory or listing graded cards, the same API handles it all.
Ready to List Cards Faster?
Stop losing money on cards that take too long to list. Let's talk about how CardSight AI can transform your raw card workflow.
Or contact our team directly: [email protected]