Software Alternatives & Startups

CardStream AI VS React-Ionic

Compare CardStream AI VS React-Ionic and see what are their differences

CardStream AI

Cardstream.ai is open-source software that identifies trading cards the moment they appear on a live stream: name, set, card number and confidence in about half a second. It runs on your CPU and calls the recognition API once per card, not per frame.

Rating
0 reviews
Pricing
Open source Freemium $11 / One-off (Smallest credit pack)
React-Ionic

Create iOS and Android apps with React and Ionic

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0 reviews
Pricing
Open source
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Base details

Website, pricing, platforms and company facts side by side.

CardStream AI
React-Ionic
Website cardstream.ai reactionic.github.io
Pricing
Open source Freemium $11 / One-off (Smallest credit pack) Official pricing
Open source
Company Startup from the Czech Republic · 2026 —
Listed in

About CardStream AI and React-Ionic

In their own words, as submitted to SaaSHub.

CardStream AI
React-Ionic

Cardstream.ai is open-source software that identifies trading cards on live streams. Point a camera at a card and it returns the name, set, set code, card number, series and year in about half a second, with a confidence level and up to four alternative matches. It supports 25+ trading card...

Read more about CardStream AI

No description of React-Ionic yet.

Features and specs

What each product offers, as listed by its team.

CardStream AI 12 features
React-Ionic 5 features
  • Real-time card identification
    Names each trading card on stream in about half a second: name, set, number, series and year
  • Supported games
    25+ trading card games, including Pokémon, MTG, Yu-Gi-Oh!, One Piece and Lorcana
  • Confidence tiers
    Every match is rated High, Medium or Low; set a threshold to keep weak matches off the overlay
  • Alternative matches
    Up to four other cards it could have been, shown with every result
  • One API call per card
    A local motion gate and same-card check mean only a new card triggers an identification call
  • Runs on CPU
    Detection and gating run on your own computer, no GPU needed
  • Video sources
    Webcam, video file, OBS push over RTMP or SRT, RTSP/RTMP/SRT pull, WebSocket JPEG feeds
  • Stream overlay
    Browser UI with the match, a bounding box and a history of every card shown
  • Live settings
    Thresholds, game and set code can be changed from the browser mid-stream
  • Price statistics
    Optional USD median, range and latest sale for each match
  • Private by design
    Only one image crop per new card leaves your machine; the stream stays local
  • Open source
    Code and model weights under Apache-2.0; connect Ximilar’s API or your own recogniser
  • Cross-Platform Development
    React-Ionic allows developers to build applications that run on both iOS and Android platforms using a single codebase, effectively saving time and resources.
  • React Ecosystem
    Integration with the React ecosystem provides access to numerous libraries and tools, allowing developers to use familiar technologies and streamline the development process.
  • Ionic Components
    Leverages Ionic's UI components that are designed to look and feel native on both iOS and Android, providing a consistent and polished user experience across platforms.
  • Live Reloading
    Features like live reloading and hot module replacement can speed up the development process by allowing developers to see changes in real-time.
  • Community Support
    Being part of the larger React and Ionic communities, developers can tap into extensive community support and resources to help solve issues and improve their applications.

Possible disadvantages

  • Performance Overhead
    Applications built with React-Ionic may experience performance overhead compared to fully native apps, which can be a concern for performance-intensive applications.
  • Learning Curve
    Developers new to the ecosystem might face a learning curve due to the combination of React and Ionic concepts and components.
  • Platform-Specific Customization
    While React-Ionic provides cross-platform functionality, achieving platform-specific look and feel or leveraging native features can require additional customization and work.
  • Ecosystem Dependence
    Reliance on both the Ionic framework and React means developers must stay current with updates and changes in both ecosystems, which can cause maintenance challenges.
  • Bundle Size
    The inclusion of both React and Ionic libraries can lead to larger application bundle sizes, which might impact load times and performance on lower-end devices.

Videos

Walkthroughs and reviews on video.

CardStream AI 1 video + Add
React-Ionic 0 videos + Add

Cardstream Identifying a Card in Real Time

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Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
CardStream AI
React-Ionic
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing CardStream AI and React-Ionic.

What's the story behind your product?

CardStream AI's answer

Cardstream.ai is built by Ximilar, a computer vision company in Brno, Czech Republic, and the maker of the Collectibles Recognition API. In live card breaks the seller opens packs on camera and names every card by hand. Cardstream.ai identifies those cards from the stream automatically. Most of the engineering went into keeping it cheap to run, so that the paid API is called only when a new card appears. It was first released as open source in September 2026.

What makes your product unique?

CardStream AI's answer

Cardstream.ai is open source and runs on your own computer. It watches the video you already stream and identifies each trading card in about half a second, with no button to press. A local engine checks whether the card has stopped moving and whether it’s a new card. Only a new card triggers a paid identification call: about 100 calls an hour instead of 54,000.

Why should a person choose your product over its competitors?

CardStream AI's answer

Most card recognition tools for live streams are either closed paid services or browser extensions that identify one card per click. Cardstream.ai is free and open source (Apache-2.0), works automatically on the live video, and needs no GPU. It never logs in to your marketplace accounts. Only one image crop per new card leaves your machine, and you can connect your own recogniser instead of Ximilar’s API.

Who are some of the biggest customers of your product?

CardStream AI's answer

Leave this empty. There are no named public users yet, and a made-up list would be easy to disprove.

How would you describe the primary audience of your product?

CardStream AI's answer

Card breakers and live sellers on Whatnot, Fanatics Live, eBay Live and TikTok Shop, and card shops streaming on Twitch or YouTube. It’s also for developers who want to add card recognition to their own streaming or scanning setup.

Which are the primary technologies used for building your product?

CardStream AI's answer

Python, ONNX Runtime, an RF-DETR segmentation model trained by Ximilar for finding the card, and an embedding model for the same-card check (Torch, ONNX or LiteRT backends). It also uses ffmpeg for RTSP, RTMP and SRT streams, a local browser interface, Docker, and Ximilar’s Collectibles Recognition API for identification.

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Alternatives to CardStream AI and React-Ionic

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