Tutorial: ocr

April 25, 2025 ยท View on GitHub

This project provides cross-platform OCR (Optical Character Recognition) functionality for mobile and desktop applications. It enables developers to extract text from images with a consistent API across different platforms (Android, iOS, Windows). The library handles platform-specific implementations behind a common interface, supports text pattern matching (like finding emails or phone numbers), and offers options to balance between speed and accuracy. The sample app demonstrates practical usage including image preprocessing to improve recognition quality.

Source Repository: https://github.com/kfrancis/ocr

flowchart TD
    A0["IOcrService Interface
"]
    A1["OcrResult
"]
    A2["OcrImplementation
"]
    A3["OcrOptions
"]
    A4["OcrPlugin
"]
    A5["OcrPatternMatcher
"]
    A6["MainPage (Sample App)
"]
    A7["UseOcr Extension Method
"]
    A0 -- "Returns recognition results" --> A1
    A2 -- "Implements" --> A0
    A2 -- "Creates and populates" --> A1
    A2 -- "Uses configuration from" --> A3
    A2 -- "Uses for text pattern extra..." --> A5
    A4 -- "Provides static access to" --> A2
    A6 -- "Consumes" --> A0
    A6 -- "Displays data from" --> A1
    A7 -- "Registers in DI container" --> A2

Chapters

  1. IOcrService Interface
  2. OcrResult
  3. OcrOptions
  4. OcrPatternMatcher
  5. OcrImplementation
  6. OcrPlugin
  7. UseOcr Extension Method
  8. MainPage (Sample App)

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