Option 1: Add Asprise OCR as a Maven/Gradle Dependency¶

If you are using maven for your build, simply add the following dependency to your pom.xml (under element: /project/dependencies):

<dependency>
    <groupId>com.asprise.ocr</groupId>
    <artifactId>java-ocr-api</artifactId>
    <version>[15,)</version>
</dependency>

For gradle users, you need to add the following line to your build.gradle (under dependencies):

compile group: 'com.asprise.ocr', name: 'java-ocr-api', version: '[15,)'

For Scala SBT:

libraryDependencies += "com.asprise.ocr" % "java-ocr-api" % "[15,)"

After adding Asprise OCR as an dependency, you can then launch and play with the demo program:

import com.asprise.ocr.Ocr;

public class App {
  public static void main( String[] args ) {
    Ocr.main(args);
  }
}

Once the demo UI launches, you can perform OCR easily by selecting an image file and hitting the OCR button:

Later sections will introduce how to invoke the OCR API without the UI.

Option 2: Download Asprise OCR SDK from asprise.com¶

Download a copy of Asprise OCR SDK from http://www.asprise.com/product/ocr. Simply unzip it to an empty folder. Let’s refer this folder as OCR_HOME.

The file organization of Asprise OCR SDK distribution is as follows:

After unzipping the archive, run the batch script to launch the OCR demo program.

Plain-text Format¶

Asprise OCR and Barcode Recognition

High performance, royalty-free OCR and barcode recognition on Windows,
...
ISBN-l3, Interleaved 2 of 5, Code 39, Code 128, PDF417, and QR Code.

[[QR-Code: www.asprise.com]]
[[CODE-128: Asprise]].

The last two lines represents bar code information extract. Note both the format and content of the barcode are enclosed in ‘[[ ]]’ pairs.

XML Format¶

Asprise OCR XML output contains rich information like text coordinates, fonts, confidence level, barcode type, barcode locations, as well as table information (cells with location and row/column info).

Set the output format to OUTPUT_FORMAT_XML, and the you’ll get:

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<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="aocr.xsl"?>
<asprise-ocr input="test-image.png">
  <page no="0" width="2400" height="3200" words="126" confidence="92" time-taken="1.928">
    <block id="1e" type="text" subtype="line" x="320" y="248" width="1176" height="63" words="5" confidence="93" font-name="Times_New_Roman" font-size="66" font-bold="0" font-italic="0" font-serif="1" baseline="297" xheight="34" ascent="15" descent="-15">Asprise OCR and Barcode Recognition</block>
    <block id="1f" type="text" subtype="line" x="320" y="360" width="1725" height="43" words="13" confidence="92" font-name="Times_New_Roman" font-size="45" font-bold="0" font-italic="0" font-serif="1" baseline="394" xheight="23" ascent="11" descent="-10">High performance, royalty-free OCR and barcode recognition on Windows, Linux, Mac OS</block>
    <!-- ... -->
    <table id="4" x="320" y="1083" width="1766" height="169" rows="3" cols="2" cells="6" words="10" confidence="91">
     <cell id="3" x="320" y="1083" width="563" height="57" row="0" col="0" rowspan="1" colspan="1">
       <block id="29" type="text" subtype="line" x="343" y="1098" width="429" height="41" words="3" confidence="92" font-name="Times_New_Roman" font-size="41" font-bold="0" font-italic="0" font-serif="1" baseline="1130" xheight="23" ascent="9" descent="-8">PDF Output Formats</block>
     </cell>
     <cell id="5" x="883" y="1083" width="1203" height="57" row="0" col="1" rowspan="1" colspan="1">
       <block id="2a" type="text" subtype="line" x="905" y="1099" width="181" height="32" words="1" confidence="90" font-name="Times_New_Roman" font-size="37" font-bold="0" font-italic="0" font-serif="1" baseline="1130" xheight="22" ascent="9" descent="-5">Remarks</block>
     </cell>
     <cell id="6" x="320" y="1140" width="563" height="55" row="1" col="0" rowspan="1" colspan="1">
       <block id="2b" type="text" subtype="line" x="343" y="1154" width="83" height="31" words="1" confidence="93" font-name="Times_New_Roman" font-size="43" font-bold="0" font-italic="0" font-serif="1" baseline="1185" xheight="21" ascent="10" descent="-10">PDF</block>
     </cell>
    <!-- ... -->
    <block id="1" type="barcode" subtype="QR-Code" x="1397" y="1647" width="441" height="441" confidence="1">www.asprise.com</block>
    <block id="2" type="barcode" subtype="CODE-128" x="348" y="1651" width="583" height="147" confidence="148">Asprise</block>
  </page>
</asprise-ocr>

You may view the result in a browser. To do so, you need to save the XML into a file (e.g. ocr-result.xml) and download http://asprise.com/ocr/files/schema/15/aocr.xsl to the same folder as the XML file. Then open the XML file using IE, Firefox or Safari (Chrome doesn’t support this):

Searchable PDF Format¶

If you set the output format as OUTPUT_FORMAT_PDF, you need to specify the target PDF output file as following:

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ocr.recognize(new File[] {new File("test-image.png")},
  Ocr.RECOGNIZE_TYPE_ALL, Ocr.OUTPUT_FORMAT_PDF,
  "PROP_PDF_OUTPUT_FILE=ocr-result.pdf|PROP_PDF_OUTPUT_TEXT_VISIBLE=true");

In above code, properties are specified in a single string separated by | (with key and value separated by =). Alternatively, you may specify properties separately in pairs:

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ocr.recognize(new File[] {new File("test-image.png")},
  Ocr.RECOGNIZE_TYPE_ALL, Ocr.OUTPUT_FORMAT_PDF,
  Ocr.PROP_PDF_OUTPUT_FILE, "ocr-result.pdf",
  Ocr.PROP_PDF_OUTPUT_TEXT_VISIBLE, true);

A third way to specify properties is to use the PropertyBuilder:

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ocr.recognize(new File[] {new File("test-image.png")},
  Ocr.RECOGNIZE_TYPE_ALL, Ocr.OUTPUT_FORMAT_PDF,
  new Ocr.PropertyBuilder()
    .setPdfOutputFile("ocr-result.pdf")
    .setPdfTextVisible(true)
);

For the list of all supported properties, please refer to Asprise OCR Property Summary.

Once the OCR done, you can open the PDF output file with any PDF viewer and perform searches:

To make the text invisible or transparent, you simply set PROP_PDF_OUTPUT_TEXT_VISIBLE to false.

Both normal PDF and PDF/A are supported. Please refer to the options guide.

Rich Text Format (RTF)¶

Set the output format as OUTPUT_FORMAT_RTF, you can then output .rtf files that can be edited in most word processors (Microsoft Word, Libre Office, TextEdit, etc.).

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ocr.recognize(new File[] {new File("test-image.png")},
  Ocr.RECOGNIZE_TYPE_ALL, Ocr.OUTPUT_FORMAT_RTF,
  "PROP_RTF_OUTPUT_FILE=ocr-result.rtf");

Once the OCR done, you can open the RTF file with a word processor:

Recognizes text only or barcode only¶

To save OCR time, you can choose to OCR text or barcode only:

Text only:

String s = ocr.recognize(new File[] {new File("test.png")},
   Ocr.RECOGNIZE_TYPE_TEXT, Ocr.OUTPUT_FORMAT_PLAINTEXT);

Barcode only:

String s = ocr.recognize(new File[] {new File("test.png")},
   Ocr.RECOGNIZE_TYPE_BARCODE, Ocr.OUTPUT_FORMAT_PLAINTEXT);

Perform OCR on part of the image¶

In some cases, you might not want to OCR the whole image. In that case, you can OCR on part of the image to save time:

String s = ocr.recognize("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.

Perform OCR on multiple input files in one shot¶

You can perform OCR on multiple files in one shot:

String s = ocr.recognize("test.png;test2.jpg", -1, 0, 0, 400, 200,
   Ocr.RECOGNIZE_TYPE_TEXT, Ocr.OUTPUT_FORMAT_PLAINTEXT);

Perform OCR on a certain page from the specified TIFF file¶

A TIFF file may contain multiple pages. If you need to recognize only a certain page, you can specify the page number as following:

String s = ocr.recognize("test.tif", 1, -1, -1, -1, -1,
   Ocr.RECOGNIZE_TYPE_TEXT, Ocr.OUTPUT_FORMAT_PLAINTEXT);

Note 1 means the second page (the page number of the first page is 0). -1 means all pages.

Perform OCR on a PDF input file¶

You use the following method to perform OCR on a PDF input file:

String s = ocr.recognize("test.pdf", -1, 100, 100, 400, 200,
   Ocr.RECOGNIZE_TYPE_TEXT, Ocr.OUTPUT_FORMAT_PLAINTEXT);

Scan in Grayscale with DPI 300¶

If the input images are from scanners, please follow the guidelines below:

• Scan at resolution DPI 300 (or 400 for small fonts). Higher DPI may not necessarily result in better accuracy but lower DPI may affect the quality.
• Scan in grayscale mode or color mode, but not black/white mode.

Pre-Process Images¶

Image pre-processing can be a great tool to improve OCR accuracy for special images.

PROP_IMG_PREPROCESS_TYPE=custom|PROP_IMG_PREPROCESS_CUSTOM_CMDS=scale(2);default()

PROP_IMG_PREPROCESS_TYPE=custom|PROP_IMG_PREPROCESS_CUSTOM_CMDS=invert();default()

Provide Dictionaries or Templates¶

The OCR engine is optimized to recognize human readable words and there are built-in dictionaries and templates. We’ll use an example to find out roles played by dictionaries.

For example, the image below contains two words: abcdopqr abcd0pqr:

The OCR result with the default settings will be: abcdopqr abchpqr. The OCR engine may have detected abcd0pqr but it discarded it as it is unlikely a word since there is a number between characters.

Suppose we do consider abcd0pqr as a word. In such case, we can provide our own dictionary file:

abcdopqr
abcd0pqr

Note word entries are separated by line breaks. Save the above content into a file dict.txt and specify it when you start the OCR engine:

Ocr ocr = new Ocr(); // create a new OCR engine
ocr.startEngine("eng", Ocr.SPEED_FASTEST, "START_PROP_DICT_CUSTOM_DICT_FILE=dict.txt");
String s = ocr.recognize(new File[] {new File("image.png")}, Ocr.RECOGNIZE_TYPE_ALL, Ocr.OUTPUT_FORMAT_PLAINTEXT);

Note this property must be specified when you call startEngine. Now, you’ll get the extact text as on the image: abcdopqr abcd0pqr

Alternatively, you can specify the words using a template:

abcd\npqr

Template entries are separated by line breaks. Save it to a file templates.txt and specify it using :

Ocr ocr = new Ocr(); // create a new OCR engine
ocr.startEngine("eng", Ocr.SPEED_FASTEST, "START_PROP_DICT_CUSTOM_TEMPLATES_FILE=templates.txt");
String s = ocr.recognize(new File[] {new File("image.png")}, Ocr.RECOGNIZE_TYPE_ALL, Ocr.OUTPUT_FORMAT_PLAINTEXT);

Again, the correct result is returned.

The following wildcards are allowed in templates: