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OCR

Image to text in a snap!

Optical Character Recognition

Adobe AIR  Adobe AIR
iOS  v9.0+ Android  v19+ (32 + 64bit)

$20 (USD)
Discounted for subsequent years

Sign up now

Product Features

OCR
Optical Character Recognition using the Tesseract framework
Recognise text from image BitmapData
Options
Set languages, whitelists and blacklist characters
Single API
Your code will work across supported platforms without modifications
Sample project code and ASDocs reference

Available in these packages

Master Collection

Enterprise Support

The OCR extension gives you the ability to perform optical character recognition (wikipedia) on an image.

It is built upon the powerful Tesseract Open Source OCR Engine.

The simple API allows you to quickly scan an image for textural content, using the powerful Tesseract framework, in just a few lines of code.

OCR.service.recognise( image );

The simple API allows you to quickly integrate OCR in your AIR application in just a few lines of code. Identical code base can be used across all supported platforms allowing you to concentrate on your application and not device specifics.

We provide complete guides to get you up and running with dialogs quickly and easily.

Latest Features

  • OCR on Android and iOS;
  • Use the powerful Tesseract API;
  • Single API interface - your code works across iOS and Android with no modifications;
  • Sample project code and ASDocs reference;

As with all our extensions you get access to a year of support and updates as we are continually improving and updating the extensions for OS updates and feature requests.

 

Documentation

The following resources are available for developers to guide them through the integration of the extension.

Development Guide

Our developer documentation contains a detailed guide on getting started with the extension. It also documents all of the major features showing you how to quickly and correctly integrate the extension in your application.

Reference

ASDocs document each of the classes, interfaces, events, functions and properties that you will be using. It is the main reference for the extension. If it's not in the guide you will find it here!

Change Log

This contains a record of all the changes we have done to the extension. There are more details in github, referenced with releases but this is publicly available to see the work being done on the extension.

Support

The following resources are for our subscribed users only. We use the issue tracker and wiki on GitHub to provide developer support, development tracking and the most detailed documentation on the usage of the extension.

GitHub Repository*

The GitHub repository gives subscribed users access to the extension, (including all past versions) and is the place to follow the development of the extension, request any features or improvements and to report any issues.

Issues on GitHub*

The issue tracker is the best place to get support. Ask our developers your questions directly! If you are having an issue implementing the extension or if you have found an issue, this is the place to ask!
*Subscribed users only

Community

Code samples

Post gists on GitHub and include the extension ID (com.distriqt.OCR) in the file to have your snippet listed here.

Stack Overflow

Make sure you tag your question with distriqt ocr

Starling Forum

We regularly monitor the Starling forum and many of our users are active there so feel free to ask your questions there.

Quick Examples

Simple OCR from a Bitmap image

 

Reviews

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