Optical character recognition (OCR) has many practical and useful applications from augmented reality translation apps like Google Translate to business card readers and document scanners.

Tesseract is an open-source optical character recognition library. This test uses a fork of Tesseract Tools for Android called tess-two.

This test use tess-two to recognize and extract English text from a set of four images. Each passage of text has been photographed in poor lighting conditions and at a slight angle to better simulate the challenges of OCR in real-world use. 

The test measures the time taken to recognize and extract the text from each image. It does not test the accuracy of the OCR engine.


The result is the average of the times taken to recognize the text in each image.