ABBYY FineReader EngineThe most comprehensive OCR SDK for software developers
Integrate AI-powered OCR features into your applications.
The quickest way to start using FineReader Engine is to read the Help file and look at the provided sample code that comes with the software. The code samples explain various aspects of programming with the SDK and can be implemented into own applications.
You are new to ABBYY FineReader Engine and are looking for a way to recognize a document and export recognition results.
You intend to process a large amount of one-page or several-page documents and want to use computer resources more effectively.
You intend to create a comprehensive tool for document conversion and are looking for a way to manage image processing.
You intend to create a multi-threaded server application, which uses ABBYY FineReader Engine.
You intend to process documents which contain specific fields or words and are looking for a way to receive the best recognition quality and speed for your task.
You want to use ABBYY FineReader Engine on a "scanning computer", which scans documents and saves them as image files on disk.
You intend to automate recognition of documents with the help of a command line interface.
You want to perform benchmarks and test specific features of ABBYY FineReader Engine.
You want to use ABBYY FineReader Engine for extracting data from ID documents and exporting it to a file.
See below the list of code samples that demonstrate the different features of the ABBYY OCR SDK and can be used in your application:
Learn how to train FineReader Engine to classify types of documents.
See how ABBYY FineReader Engine extracts data from business cards.
Test ABBYY tools for photo processing that deliver excellent recognition results even on bad-quality photos.
Learn about a wide variety of image pre-processing tools, which can improve recognition quality.
Use predefined profiles to use ABBYY FineReader Engine in common processing scenarios.
See how to optimize export to PDF with a minimum of work.
Increase the processing speed of your application using several work processes in parallel. Compare it to processing in a single process.
Increase the processing speed for document batches by using several asynchronous processes. Compare to processing of each document one-by-one in a single process.
Train user patterns to increase recognition quality of text sets in decorative fonts, texts containing unusual characters and large volumes of texts of low print quality.
Compare two versions of a document and identify differences in their content.
Following samples can be used by developers and implementing into applications running on the Linux platform.
Performs document conversion with just a few lines of code. This sample will help you to start development using ABBYY SDK.
Shows how to use Batch Processor (IBatchProcessor) for processing a large amount of one-page documents. Allows you to use available computer resources effectively.
ABBYY FineReader Engine allows you to extract data from business cards.
The sample produces a CommandLineInterface utility, which supports most of the ABBYY FineReader Engine API functions through numerous keys.
The sample shows the progress of recognition and export during image processing. You can use the callback interfaces to control image processing.
The quickest way to start using FineReader Engine is to read through the Help file and look at the sample code
that comes with the software.
Performs document conversion with just a few lines of code. This sample will help you to start development using ABBYY SDK.
ABBYY FineReader Engine allows you to extract data from business cards.
