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tesseract-ocr-ios's Introduction

Tesseract OCR iOS

Build Status Coverage Status

Use Tesseract OCR in iOS 8.0+ projects written in either Objective-C or Swift. Easy and fast.

These are the current versions of the upstream bundled libraries within the framework that this repository provides:

All libs are with bitcode integrated

Getting Started

See the Installation page in the wiki. Once you're setup see some usage examples.

Known Limitations

  • No OS X support.
  • Strict requirement on language files existing in a referenced "tessdata" folder.

Release Notes

3.1.1 and greater

See the Releases page

Older releases

See the Release Notes wiki page

License

Tesseract OCR iOS and TesseractOCR.framework are distributed under the MIT license (see LICENSE.md).

Tesseract, maintained by Google (http://code.google.com/p/tesseract-ocr/), is distributed under the Apache 2.0 license (see http://www.apache.org/licenses/LICENSE-2.0).

Contributors

Daniele Galiotto (founder) - iOS Freelance Developer - www.g8production.com

Kevin Conley - www.kevintechnology.com

tesseract-ocr-ios's People

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tesseract-ocr-ios's Issues

Compile

This repo is so helpful because of its support for Tesseract 4.0.

I'm try to compile this again with the latest Tesseract release using Xcode 10.2 and got stuck. I'm rebuilding because many of the latest trained models do not work.

But when I followed the instructions and running make, when building Leptonica, this error appears:

../../src/gplot.c:402:18: error: 'system' is unavailable: not available on iOS

Can you please give me some guidance? Or, can you update to the latest Tesseract?

Thanks.

Different ocr results with almost same image using lstm only single line mode

Hi, Thank you for update the ios lib to the tesseract 4.0.0 release version.
I try to use it for almost same images with following language and mode (official fast eng tessdata):

let tesseract:G8Tesseract = G8Tesseract(language: "eng", engineMode: G8OCREngineMode.lstmOnly) tesseract.pageSegmentationMode = .singleLine

I try three times, but the result is quite different, just first one is correct, the other two results is so confused.

image

image

image

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