![]() The top section is the original test image in PNG format (400 x 300). It also needs a sub-folder named tessdata. I also copy the libtesseract.dylib, liblept.dylib from the Homebrew directories to the code folder of the Processing sketch, with their loading path patched with the the trained language dataįinally, I copy the English trained language file, eng.traineddata, from the Homebrew directory to the data folder of the sketch. Copy the jai_imageio.jar from the lib folder to the code folder of the Processing sketch. It also needs the Java Advanced Imaging Image Tools from the Java archive. From the dist folder, I copy the tess4j.jar to the code folder of the Processing sketch. Install the Tesseract in OSX with all supported languages by using Homebrew This is a short Processing sketch to demonstrate the use optical character recognition (OCR) with the Tesseract OCR engine.
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