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CardStream AI VS Diffee

Compare CardStream AI VS Diffee 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.

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

Instant visual diffing between websites

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Trexinet
Managed AI answering service for home-service businesses. Every call answered 24/7, callers qualified, jobs booked straight onto your calendar. Fully managed setup — we build and tune the call flows. $59/mo + 5¢/min, free 2-week pilot, no contract. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Base details

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

CardStream AI
Diffee
Website cardstream.ai diffee.me
Pricing
Open source Freemium $11 / One-off (Smallest credit pack) Official pricing
—
Company Startup from the Czech Republic · 2026 —
Listed in
Self-hosted REST API Live Streaming Trading Cards Collectibles TCGs Sports Cards Whatnot YouTube AI +7
Office & Productivity WordPress Personalization Online Services +1

About CardStream AI and Diffee

In their own words, as submitted to SaaSHub.

CardStream AI
Diffee

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 Diffee yet.

Features and specs

What each product offers, as listed by its team.

CardStream AI 12 features
Diffee 0 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

No features have been listed yet.

Videos

Walkthroughs and reviews on video.

CardStream AI 1 video + Add
Diffee 3 videos + Add

Cardstream Identifying a Card in Real Time

Mr. Diffee Reviews The Tattooed Sales Guy

More videos

  • - Diffee Ford Lincoln
  • - The Difference | Ford F-150 | Diffee Ford Lincoln

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
Diffee
100% 100%
YouTube
0% 0%
0% 0%
WordPress
100% 100%
100% 100%
Live Streaming
0% 0%
0% 0%
Personalization
100% 100%

Questions & Answers

As answered by people managing CardStream AI and Diffee.

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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