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LumiGap

AI vision lab for poker tables. Train AI models to recognize poker tables.

LumiGap is a macOS AI vision workspace for poker table recognition.

It reads visible online poker tables from your screen, uses OCR and Core ML to recognize names, stacks, bets, cards, board, pot, and table regions, then turns everything into structured data you can review, correct, export, and use for training custom models.

Build your own poker vision datasets, annotate cards and player tokens, tune recognition thresholds, connect external detectors, convert manifests into model-ready datasets, and test how your models perform on real table layouts.

LumiGap is built for poker researchers, ML experimenters, coaches, and advanced players who want to create their own recognition pipeline instead of relying only on generic trackers or manual screenshots.

It is designed for training, research, dataset creation, and post-session analysis. Users are responsible for following the rules of any poker platforms they use.

A startup from Barcelona, Spain.

(0 reviews)
Pricing:
Platforms:
  • Mac
  • MacOS
Visit website Alternatives Status Page
LumiGap

LumiGap Reviews and Details

This page is designed to help you find out whether LumiGap is good and if it is the right choice for you.

#AI Tools #Computer Vision #Machine Learning #Data Analytics #Big Data Analytics #Machine Data Analytics #Data & Analytics #Data Analytics / AI #AI Developer Tools

Screenshots and images

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    LumiGap | AI Poker Vision Lab | 1 //
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    LumiGap | AI Poker Vision Lab | 3 //
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    LumiGap | AI Poker Vision Lab | 4 //
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    LumiGap | AI Poker Vision Lab | 5 //
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    LumiGap | AI Poker Vision Lab | 6 //
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    LumiGap | AI Poker Vision Lab | 7 //
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    LumiGap | AI Poker Vision Lab | 8 //
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    LumiGap | AI Poker Vision Lab | 9 //
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    LumiGap | AI Poker Vision Lab | 10 //
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  • LumiGap LumiGap | AI Poker Vision Lab | 11
    LumiGap | AI Poker Vision Lab | 11 //
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Features & Specs

  1. AI table recognition

    Detect cards, stacks, bets, names, board, pot, and table regions from screen data

  2. Screen capture pipeline

    Read visible poker tables on macOS without connecting to poker rooms

  3. OCR + Core ML

    Combine text recognition and ML models for structured table-state extraction

  4. Custom datasets

    Collect screenshots, crops, labels, metadata, and manifests for model training

  5. Card annotation

    Correct player cards, board cards, labels, and regions across frames

  6. Player token editing

    Edit names, stacks, bets, and player-specific table tokens

  7. Bring-your-own models

    Connect external detectors and tune recognition thresholds

  8. Dataset converter

    Build object detection and card classifier datasets for Create ML workflows

  9. Live table-state export

    Export recognized cards, stacks, bets, board, and pot through an API

  10. Model performance tracking

    Compare recognition results, sessions, profit, and model performance over time

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Questions & Answers

As answered by people managing LumiGap.

  1. What makes LumiGap unique?

    LumiGap is not just a poker tracker or a note-taking app. It is an AI vision workspace for poker table recognition: capture the table from your screen, recognize cards, stacks, bets, names, board and pot, correct the results, build datasets, train custom models, and export structured table state for research workflows.

  2. Why should a person choose LumiGap over its competitors?

    Most poker tools focus on hand histories, solvers, or finished analytics. LumiGap focuses on the recognition pipeline itself: screen capture, OCR, Core ML, table-region mapping, annotation, custom datasets, model testing, and export. It is for users who want to build and improve their own AI-powered poker research workflow.

  3. How would you describe the primary audience of LumiGap?

    LumiGap is for advanced poker players, coaches, poker researchers, ML builders, data-driven analysts, and macOS users who want to recognize poker table state visually, create custom datasets, and train models for their own layouts and research needs.

  4. What's the story behind LumiGap?

    LumiGap started from a simple gap: serious poker work often depends on screenshots, manual notes, hand histories, and tools that cannot easily be adapted to your own table layouts or model experiments. LumiGap was built to turn visible table states into structured data, datasets, and custom AI recognition workflows.

  5. Which are the primary technologies used for building LumiGap?

    Native macOS stack: Swift, SwiftUI, ScreenCaptureKit, Vision OCR, Core ML, local data storage, annotation tools, dataset converters, external detector support, and live export APIs.

  6. Who are some of the biggest customers of LumiGap?

    • Advanced poker players
    • Poker coaches
    • Poker researchers
    • ML dataset builders
    • Computer vision experimenters
    • Strategy analysts
    • macOS users building custom recognition workflows

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Is LumiGap good?

I don't have verified information about LumiGap (lumigap.com) in my knowledge base, so I can't confirm its legitimacy, quality, or reputation. Before using or purchasing from this site, I'd recommend doing independent research.

Why choose LumiGap?

  • I don't have reliable data on this specific product or service to evaluate its features or quality
  • No verified customer reviews or reputation data available to me
  • Unable to confirm business legitimacy or track record

Recommended for

  • Anyone considering this site should first check independent reviews on platforms like Trustpilot or the BBB
  • Verify the company's contact information, return policy, and business registration
  • Check domain age and reviews on scam-detection sites like ScamAdviser before making a purchase
  • Consider using secure payment methods that offer buyer protection if you decide to proceed

External links

We have collected here some useful links to help you find out if LumiGap is good.

  • Public traffic stats of LumiGap

    Check the traffic stats of LumiGap on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.

  • Domain Rating (DR)

    Check the "Domain Rating" of LumiGap on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of LumiGap's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.

  • Domain Authority (DA)

    Check the "Domain Authority" of LumiGap on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.

  • Public opinion on Reddit

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Is LumiGap good? This is an informative page that will help you find out. Moreover, you can review and discuss LumiGap here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.

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