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Ios text recognition code
Ios text recognition code








ios text recognition code ios text recognition code
  1. #IOS TEXT RECOGNITION CODE FULL#
  2. #IOS TEXT RECOGNITION CODE CODE#

To run the application on a device, you need to enroll as an Apple Developer in the iOS Developer Program. Static NSString * const kRecognitionLanguages = "English" static NSString * const kExportFormat = "txt" Set kApplicationID and kPassword constants and remove the line marked #error.

  • Provide your credentials to connect to Cloud OCR server in the Sources/OCRDemoClient.m file.
  • The URL is set in the Sources/Client.m file. Customize the URL for HTML requests according to the processing location.
  • Before running the program do a little configuration.
  • #IOS TEXT RECOGNITION CODE CODE#

    You can download the code sample from GitHub. Try out iPhone OCR SDK from ABBYY using the sample project.After the registration is completed you have an Application ID and Application Password, which are necessary for the application to function. If you are not a registered user, register. Registration procedure takes very little time, and you can use your Google or Facebook account.To develop an app for iPhone, you need iOS SDK and Xcode.Though OCR process is CPU-intensive, iPhone app with ABBYY Cloud OCR will need no additional system resources, only an Internet connection will be necessary.įollow these few steps to try Cloud OCR for iPhone: These are: 200+ recognition languages, special recognition modes, and image preprocessing features.

    #IOS TEXT RECOGNITION CODE FULL#

    ABBYY Cloud OCR SDK is the perfect solution for this case. OCR on iPhone can be performed easily with full set of professional features provided by ABBYY SDK. If you develop an OCR application for iOS, you need an OCR engine capable of capturing data from low-quality images, not requiring much processing power and memory space.










    Ios text recognition code