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Programming with Asprise OCR is very straightforward. Below is the typical source code sample in Python to recognize images:
from asprise_ocr_api import *
Ocr.set_up() # one time setup
ocrEngine = Ocr()
ocrEngine.start_engine("eng")
s = ocrEngine.recognize("test-image.png", -1, -1, -1, -1, -1,
OCR_RECOGNIZE_TYPE_ALL, OCR_OUTPUT_FORMAT_PLAINTEXT)
print "Result: " + s
# recognizes more images here ..
ocrEngine.stop_engine()
With the below sample input image:
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]].
If you need additional information like accuracy confidence and text coordinates, you can select XML as the output format. Additionally, table information like rows and cells are also available in XML.
<?xml version="1.0"?>
<asprise-ocr input="test-image.png">
<page no="1" width="2400" height="3200" words="124" confidence="92">
<block type="text" x="320" y="248" width="1176" height="63" words="5" confidence="88">
Asprise OCR and Barcode Recognition
</block>
...
<block type="barcode" subtype="QR-Code" x="1397" y="1647" width="441" height="441">www.asprise.com</block>
<block type="barcode" subtype="CODE-128" x="348" y="1651" width="583" height="147">Asprise</block>
</page>
</asprise-ocr>
Click here to view the actual XML
Asprise OCR supports generating searchable PDF:
Asprise OCR offer property for you to configure whether text should be highlighted or transparent. Please refer to the developer's guide for details.
Choose RTF format if the user needs to further edit the recognition result in a word processor.