Real-Time Card Identification from Any Stream
Integrate CardSight, our trading card identification, directly into any video streaming platform. Card name, year, manufacturer, set, number, parallel, and confidence score — streamed back as results the moment a card appears. No button press. No upload. No separate capture step.
CardSight AI is the only company offering real-time streaming video identification for trading cards. This is not batch processing. This is not upload-and-wait. This is live, continuous identification integrated into your existing streaming infrastructure.
Available exclusively for enterprise clients.
Real-Time
Response
4
Video Protocols
All Sports
Supported
Enterprise
Availability
How It Works
Four steps from stream to structured card data. Session-based architecture means you control when identification starts and stops.
Open Session
Start a streaming session via the gRPC API. Configure your video source type and processing parameters. The session initializes and returns connection details.
Stream Video
Send your video stream using any supported protocol. Browser via WebSocket, live commerce platform or OBS via RTMP, or professional infrastructure via RTSP. Smart frame processing adapts to any source stream.
Get Results
Identification results stream back in real time as cards are detected. Each result includes the card name, year, set, card number, parallel, and confidence score — all enriched from the CardSight AI catalog.
End Session
Close the session when you're done. All session data and identification history are available for retrieval. Clean, deterministic lifecycle management.
Supported Video Sources
Four protocols covering every deployment scenario — from browser-based demos to enterprise live commerce and commercial warehouse installations.
Secure Reliable Transport
The modern successor to RTMP — built for low-latency, secure streaming over unpredictable networks. AES 128/256 encryption, automatic packet loss recovery, and firewall traversal. Backed by a 600+ member open-source alliance including Microsoft, Adobe, and Wowza.
Compatible with: AWS Elemental MediaConnect, AWS Elemental MediaLive, OBS Studio, vMix, Wirecast, Wowza, Haivision encoders
Browser Webcam
Stream directly from a browser webcam with zero app installation. Uses WebSocket transport with gRPC-Web for seamless browser integration. Embeddable in any web platform — ideal for customer-facing tools, live demos, and lightweight integrations.
Compatible with: Any modern browser, any web application
Live Streaming & Commerce
The standard live ingest protocol used by virtually every streaming platform. Connect OBS, Streamlabs, or feed directly from enterprise live commerce infrastructure. Compatible with AWS Elemental MediaLive and Wowza Streaming Engine.
Compatible with: OBS, Streamlabs, YouTube Live, Twitch, WhatNot, Fanatics Live, eBay Live, AWS Elemental MediaLive, Wowza
Professional Video Infrastructure
Connect IP cameras, professional video feeds, and enterprise media pipelines. For commercial deployments — card shops, grading facilities, sorting operations, and warehouse-scale inventory processing.
Compatible with: AWS Elemental MediaConnect, AWS Kinesis Video Streams, Azure Communication Services, IP cameras, commercial video equipment
What Gets Returned
Every identification result is enriched from the CardSight AI catalog. You get structured card data, not raw labels.
Card Name
The player, subject, or card title.
Card Number
Official card number within the set.
Set & Release
Complete set and release name.
Manufacturer
Topps, Panini, Upper Deck, and more.
Year
Release year, from 1933 to present.
Parallel Variant
Refractors, prizms, numbered variants.
Confidence Score
High, Medium, or Low confidence.
Segment
Baseball, football, basketball, hockey, MMA, soccer, Pokemon, Magic: The Gathering, One Piece.
Built for Operations at Scale
Streaming video identification is designed for businesses that process cards continuously — not one at a time.
Live Streaming & Content Creation
Pack breaks on YouTube and Twitch. Card shows on Instagram Live. As cards come out of the pack and hit the table, they're identified instantly on stream — no manual lookup, no delay.
Card Shop Point of Sale
A customer walks up with a stack of cards. Fan them under a camera and get instant identification and pricing for every card. Faster transactions, fewer errors.
Grading & Authentication Intake
Grading companies process thousands of submissions daily. Stream cards past a camera during intake to pre-identify each card and verify the submission manifest.
Collection Digitization
Fan through a stack of cards in front of a camera and build a digital inventory in seconds. No scanning one at a time. Just a steady stream of identifications.
Sorting & Inventory Operations
Mount a camera over a sorting station and identify every card as it passes through. Route cards to the right bin, flag high-value pulls, and maintain a running log.
Key Capabilities
The technical foundation that makes real-time streaming identification possible.
Continuous Real-Time Identification
Cards are identified the moment they appear in the stream. No button press, no trigger, no delay. The AI pipeline processes frames continuously and streams results back as detections occur — typically every 200-300ms.
Streaming Results via gRPC
Results are streamed back over gRPC with gRPC-Web support for browser clients. No polling. No webhooks. Just a persistent stream of identification results as they happen.
Multi-Sport, Multi-Segment
Works across baseball, football, basketball, hockey, MMA, soccer, Pokemon TCG, Magic: The Gathering, and One Piece TCG. The same session handles cards from any segment — no need to pre-select a sport or switch modes.
Session Management
Clean session lifecycle — open, stream, close. Sessions are isolated, configurable, and deterministic. You control when identification starts and stops.
Any Stream, Any Quality
Optimized to process everything from low-bandwidth webcam feeds to full 4K professional streams in real time. Whatever your source quality, identifications come back at the same speed.
Catalog-Enriched Results
Every result is matched against the full CardSight AI catalog of 15M+ cards. You get complete card metadata — set name, card number, parallel, manufacturer — structured and ready to use.
The Only Real-Time Streaming Video Card Identification API
No other company offers real-time card identification from live video streams. Other solutions require you to capture a photo, upload it, and wait for a response. CardSight AI identifies cards continuously as they appear in the stream — no capture step, no upload, no wait.
This isn't an incremental improvement to existing technology. It's a fundamentally different approach to card identification — built from the ground up for real-time, high-volume operations where speed and automation matter.
Explore Our Platform
Streaming video identification works alongside the full CardSight AI platform. Combine it with catalog access, price data, and collection management for a complete solution.
CardSight
Snap a photo, get instant card identification. 99.5%accuracy across 10,000+ sets.
Slab Identification
Read the slab, not just the card. Grading company, grade, qualifiers, and cert number from any photo.
Card Catalog
15M+ trading cards from 1933 to present. The most comprehensive card database available via API.
Price Data
Real marketplace sales and live listings. Data, not opinions. Live for every sport, Pokémon, Magic: The Gathering, One Piece, and Disney.
Collection Management
Let your users track, organize, and manage their card collections. Powered by the full catalog.
Frequently Asked Questions
Common questions about CardSight AI's streaming video identification capabilities, enterprise availability, and supported protocols.
No. Streaming video identification is available exclusively on an Enterprise plan. It is not included in the Free, Pro, Premium, or Ultra tiers. If you're interested in adding real-time video identification to your product or workflow, contact our sales team to discuss Enterprise pricing and integration support.
Four video source protocols are supported: SRT for low-latency encrypted streaming (compatible with AWS Elemental MediaConnect, OBS, vMix, Wowza), WebSocket for browser-based webcam streams (no app install required), RTMP for streaming software and live commerce platforms (compatible with AWS Elemental MediaLive, Wowza), and RTSP for IP cameras and professional video infrastructure (compatible with AWS Kinesis Video Streams). All four protocols connect to the same identification engine and return the same structured results.
Results are returned every 200-300 milliseconds — faster than the blink of an eye. As cards appear in the stream, identifications are pushed back to your client in real time. No batching, no polling, no delay. The practical speed depends on your stream quality and network conditions, but the pipeline is optimized for real-time responses to the video stream.
Yes. Streaming video identification runs on the same AI as CardSight, our photo-based trading card identification, so it supports both raw cards and graded slabs from PSA, Beckett, SGC, CGC, and TAG. Cards inside slabs are identified just as they are in a still photo.
Streaming video identification supports baseball, football, basketball, hockey, MMA, soccer, Pokemon TCG, Magic: The Gathering, and One Piece TCG cards from every major manufacturer — Topps, Panini, Upper Deck, Bowman, Donruss, Fleer, Leaf, The Pokemon Company, Wizards of the Coast, and more. The same 15M+ card catalog used for photo-based identification powers the streaming pipeline. Sports cards from 1933 to present are covered, plus every Pokemon set since Base in 1999 and every One Piece US release since 2022. Magic: The Gathering is covered across 250+ releases from 1993 to present, and soccer across 1,000+ sets from the past decade, with more added every week.
No special hardware is required. Any video source that outputs over SRT, WebSocket, RTMP, or RTSP will work. A standard webcam works for browser-based use cases. For commercial deployments, any IP camera with RTSP output is compatible. For live commerce platforms, your existing RTMP or SRT streaming infrastructure works out of the box.
Streaming video identification uses a session-based architecture. You open a session via the gRPC API, specifying your stream source type and configuration. Then you feed your video stream into the session and receive identification results on a persistent connection. When you're done, you close the session. Sessions are isolated — each one has its own configuration and lifecycle. Session history and identification logs are available after the session ends.
No. As of today, CardSight AI is the only company offering real-time card identification from live video streams. Other card identification services require you to capture a still photo, upload it, and wait for a response. CardSight on live video is a fundamentally different approach — continuous identification from any video source, with results streamed back as they happen.
Tap any question to expand
No. Streaming video identification is available exclusively on an Enterprise plan. It is not included in the Free, Pro, Premium, or Ultra tiers. If you're interested in adding real-time video identification to your product or workflow, contact our sales team to discuss Enterprise pricing and integration support.
Four video source protocols are supported: SRT for low-latency encrypted streaming (compatible with AWS Elemental MediaConnect, OBS, vMix, Wowza), WebSocket for browser-based webcam streams (no app install required), RTMP for streaming software and live commerce platforms (compatible with AWS Elemental MediaLive, Wowza), and RTSP for IP cameras and professional video infrastructure (compatible with AWS Kinesis Video Streams). All four protocols connect to the same identification engine and return the same structured results.
Results are returned every 200-300 milliseconds — faster than the blink of an eye. As cards appear in the stream, identifications are pushed back to your client in real time. No batching, no polling, no delay. The practical speed depends on your stream quality and network conditions, but the pipeline is optimized for real-time responses to the video stream.
Yes. Streaming video identification runs on the same AI as CardSight, our photo-based trading card identification, so it supports both raw cards and graded slabs from PSA, Beckett, SGC, CGC, and TAG. Cards inside slabs are identified just as they are in a still photo.
Streaming video identification supports baseball, football, basketball, hockey, MMA, soccer, Pokemon TCG, Magic: The Gathering, and One Piece TCG cards from every major manufacturer — Topps, Panini, Upper Deck, Bowman, Donruss, Fleer, Leaf, The Pokemon Company, Wizards of the Coast, and more. The same 15M+ card catalog used for photo-based identification powers the streaming pipeline. Sports cards from 1933 to present are covered, plus every Pokemon set since Base in 1999 and every One Piece US release since 2022. Magic: The Gathering is covered across 250+ releases from 1993 to present, and soccer across 1,000+ sets from the past decade, with more added every week.
No special hardware is required. Any video source that outputs over SRT, WebSocket, RTMP, or RTSP will work. A standard webcam works for browser-based use cases. For commercial deployments, any IP camera with RTSP output is compatible. For live commerce platforms, your existing RTMP or SRT streaming infrastructure works out of the box.
Streaming video identification uses a session-based architecture. You open a session via the gRPC API, specifying your stream source type and configuration. Then you feed your video stream into the session and receive identification results on a persistent connection. When you're done, you close the session. Sessions are isolated — each one has its own configuration and lifecycle. Session history and identification logs are available after the session ends.
No. As of today, CardSight AI is the only company offering real-time card identification from live video streams. Other card identification services require you to capture a still photo, upload it, and wait for a response. CardSight on live video is a fundamentally different approach — continuous identification from any video source, with results streamed back as they happen.