Search Results for "character recognition code"

Showing 4 open source projects for "character recognition code"

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  • 1
    Runestone

    Runestone

    Performant plain text editor for iOS with syntax highlighting

    Performant plain text editor for iOS with syntax highlighting, line numbers, invisible characters and much more. Runestone uses GitHub's Tree-sitter to parse code to a syntax tree which is used for features that require an understanding of the code in the editor, for example syntax highlighting. Highlight ranges in the text view. Search the text using regular expressions. Automatically detects if a file is using spaces or tabs for indentation. Specify line endings (CR, LF, CRLF) to use when...
    Downloads: 3 This Week
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  • 2
    Lumo iPhone App

    Lumo iPhone App

    iOS application for Lumo

    Lumo iPhone App is the native iPhone and iPad client for Lumo, Proton’s privacy-centric AI assistant that allows users to ask questions, get summaries, generate content, and leverage AI help while keeping all conversations confidential and encrypted. Built with SwiftUI, the iOS app wraps a secure web-powered interface and communicates with the Lumo service in a way that ensures zero-access encryption, meaning even Proton cannot read or log user chats—only the device holder can decrypt them....
    Downloads: 0 This Week
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  • 3
    Airtest

    Airtest

    UI Automation Framework for Games and Apps

    ¿Airtest provides cross-platform APIs, including app installation, simulated input, assertion and so forth. Airtest uses image recognition technology to locate UI elements so that you can automate games and apps without injecting any code. Airtest cases can be easily run on large device farms, using the command line or python API. HTML reports with detailed info and screen recording allow you to quickly locate failure points. NetEase builds Airlab on top of the Airtest Project. ...
    Downloads: 1 This Week
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  • 4
    SwiftOCR

    SwiftOCR

    Fast and simple OCR library written in Swift

    SwiftOCR is a fast and simple OCR library written in Swift. It uses a neural network for image recognition. As of now, SwiftOCR is optimized for recognizing short, one-line long alphanumeric codes (e.g. DI4C9CM). We currently support iOS and OS X. If you want to recognize normal text like a poem or a news article, go with Tesseract, but if you want to recognize short, alphanumeric codes (e.g. gift cards), I would advise you to choose SwiftOCR because that's where it exceeds. Tesseract is...
    Downloads: 0 This Week
    Last Update:
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