Download Overview - Real-Time Recognition SDK

Real-Time Recognition SDK is a software development kit that enables developers to create their own mobile apps with included functionality of recognizing text directly on smartphone camera preview screen.

Latest Release

  • Real-Time Recognition SDK 1 - Release 3
    • Release Date: 02.05.2017
    • Part #: 1305/17
    • Build #: 1.0.4.141

Download the latest release:

New Features and Improvements

  • Added support of ARM64 Android processors
    The added Android library version allows to develop apps for ARM64 processors.
  • Recognition of Russian Passport
    With this new dedicated data capture functionality it is possible to directly retrieve information from passports, such as name, surname, date of birth, passport number and others. This functionality allows to implement advanced customer onboarding scenarios for enterprise organisations. Currently, the functionality is optimized for passports issued in Russian Federation. Please contact us if you would like to capture data from ID documents from other countries >
  • Recognition of a Static Photo
    Next to the extracting text directly from the video stream, the extended API now allows to process a single image, similarly to the functionality provided in ABBYY Mobile OCR Engine. This functionality is useful in situations, when the document or object is not directly available for capturing data, but an image of it was received, for example, by e-mail.
  • Ability to Use Custom Dictionaries
    Using own customized dictionaries can significantly improve the recognition results. This functionality will bring a large impact in situations where your app will be recognizing texts which are known in advance or only certain characters – for example if you plan to recognize vouchers or lotteries. To recognize using custom dictionaries developer needs to have special pattern and dictionary files, which he/she can get from ABBYY technical support.

Code Samples

  • Once you have downloaded Real-Time Recognition SDK, feel free to check the code sample on GitHub:

Further Information

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Previous Releases

Release 2

Real-Time Recognition SDK 1 - Release 2

  • Release Date: 14.03.2017
  • Part #: 1305/16
  • Build #: 1.0.3.190

New Features and Improvements

  • Improved text analysis
    The algorithm conducting image analysis and detecting text areas on video stream frames is now more stable and more accurate.
  • Improved error handling
    The error message helps developers to notice an error and apply a corrective measure.

Release 1

Real-Time Recognition SDK - Release 1 Update

  • Release Date: 15.12.2016
  • Part #: 1305/15
  • Build #: 1.0.1.181

Features

  • Real-Time OCR
    Thanks to Real-Time Recognition SDK, developers may create mobile apps with the capability to recognize text directly on the smartphone's camera preview screen. In comparison with ordinary OCR technologies that work with photos, Real-Time Recognition SDK provides higher accuracy and doesn’t require snapping and saving a photo, which improves customer experience, and ensure confidentiality.
  • Recognition of text in real-world scenes
    Real-Time Recognition SDK is able to find text of any color on any background (like road signs and menus) and extract it.
  • Support of 63 recognition languages
    Using Real-Time Recognition SDK it is possible to recognize text in up to 63 languages including Chinese, Japanese, Korean and several languages written in Cyrillic characters.
  • Text translation
    The extracted text can be translated instantly on smartphone camera preview screen. The new SDK provides build-in translation dictionaries for several languages.
  • Works on device
    All of the processing is performed offline on the mobile device, so the mobile application with Real-Time Recognition SDK can work without internet connection.
  • Code Samples for text capture
    The distributive includes code samples for text capture scenario in Swift and Objective C for iOS as well as in Java for Android. The samples demonstrate how to work with the library to implement text capture scenario. The Samples are an excellent basis for a user to get quickly started with the development.
  • iOS and Android support
    Real-Time Recognition SDK is available for platforms iOS and Android.