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 written in C++ and over 30 years old. To use it you first have to write a Objective-C++ wrapper for it. The main issue that's slowing down Tesseract is the way memory is managed. Too many memory allocations and releases slow it down.

Features

  • Easy to use training class
  • High accuracy
  • Great default image preprocessing
  • Fast and accurate character segmentation algorithm
  • Add support for lowercase characters
  • Add support for connected character segmentation

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License

Apache License V2.0

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Additional Project Details

Programming Language

Swift

Related Categories

Swift Libraries

Registered

2023-05-29