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tesseract-ocr/tesseract: Tesseract Open Source OCR ... - GitHub
Tesseract Open Source OCR Engine (main repository) - tesseract- ocr /tesseract. ... Developers can use libtesseract C or C++ API to build their own application.

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OCR with Java and Tesseract – Brandsma Blog
7 Dec 2015 ... You may wonder why you don't need to download the Tesseract ... Ghost4j-0.5.1. jar , log4j-1.2.17 and tess4j. jar (from C:\bin\Tess4J\lib and ...

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Asprise Java OCR (optical character recognition) and barcode recognition SDK offers a high performance API library for you to equip your Java applications ...

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Using Tesseract from java - Stack Overflow
It gives instructions on how to build a java project to read an image and convert it into text using the tesseract OCR API.

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Best Free OCR API, Online OCR , Searchable PDF - Fresh 2019 ...
Best free OCR API, Online OCR and Searchable PDF (Sandwich PDF ) Service. Try instantly, no registration required. The Cloud OCR API is a REST-based Web  ...

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Download tess4j JAR file with all dependencies - Download JAR files
Jul 14, 2019 · Tess4J ## Description: A Java JNA wrapper for Tesseract OCR API. Tess4J is released and distributed under the Apache License, v2.0.

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Dec 31, 2016 · This Java code sample shows the functionality of how to create a simple client application using the ABBYY Cloud OCR SDK. It uses HTTP POST and HTTP GET methods for sending data to an HTTP server and allows you to use the processing power as you need with zero IT costs and no installation required.

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Performing OCR on an Image - Aspose . OCR for Java - Documentation
21 Mar 2019 ... Aspose . OCR for Java provides the OcrEngine class to perform OCR operation on images. The OcrEngine class only requires setting the Image ...

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Code Samples - Tess4J - SourceForge
package net.sourceforge.tess4j. example ; import java .io.File; import net. sourceforge.tess4j.*; public class TesseractExample { public static void main( String[] ...

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Perform OCR on part of the image​​ In that case, you can OCR on part of the image to save time: String s = ocr.recognize("C:/test.png", -1, 0, 0, 400, 200, Ocr.RECOGNIZE_TYPE_TEXT, Ocr.OUTPUT_FORMAT_PLAINTEXT); The above code OCR the top left part of the image with width 400 pixels and height 200 pixels.












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