Cloud OCR SDK Documentation

Quick Start Guides

Quick Start Guides

How to recognize a document? How to recognize a small text fragment? You can find answers to these and other questions in this section. Step-by-step procedures will help you to start development.

OCR SDK API Reference

API Reference

The SDK is provided in the form of Web API. The Web API enables communication with remote server via HTTP.  Through this Web API you can load images to the OCR server, process with necessary recognition and export parameters, obtain the results of processing. The full reference of API methods is available in this section.

Code Samples

Code Samples

The Web API can be easily used in C#, Java, Python, or any other development tool supporting communication over network. ABBYY Cloud OCR SDK provides a set of samples in different programming languages showing how to create a simple client application.

Please note that to run any of the code samples, you will need the Application ID and password. To obtain them, register with ABBYY Cloud OCR SDK Service and create an application. The application ID is its name, and the password will be sent to the e-mail you specify during registration.

ZIP Archive Icon Download codesample archive (~300K) or browse code samples at github.

Programming Languages

Python

Python

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ASP.NET

ASP.NET

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JavaScript

JavaScript

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Platforms

Windows Phone

Windows Phone

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iPhone

iPhone

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Android

Android

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Sample Images

Sample Images

Here you can download sample images in different languages, including Arabic, Chinese, Japanese, and Korean. Recognition of demo images is free.

Technical Specifications

Technical Specifications

The list of supported image formats, recognition languages, text types, field marking types, provided processing profiles, semantics of regular expressions.

Frequently Asked Questions

FAQ

This section contains answers to commonly-asked questions about ABBYY Cloud OCR SDK.

Best Practices

Best Practices

This section provides general recommendations on image quality and settings needed for the best recognition results.