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I've been at this for a bit but I can't seem to restrict Tesseract to only output words from the "user-words" dictionary I built. I don't want anything else, just basic matching against those words.
Does anyone know how to do this?
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Inevitably, noise in an input image, non-standard fonts that Tesseract wasn't trained on, or less than ideal image quality will cause Tesseract to make a mistake and incorrectly OCR a piece of text.
Tesseract is an open source text recognition (OCR) Engine, available under the Apache 2.0 license. It can be used directly, or (for programmers) using an API to extract printed text from images. It supports a wide variety of languages.
Tesseract tests the text lines to determine whether they are fixed pitch. Where it finds fixed pitch text, Tesseract chops the words into characters using the pitch, and disables the chopper and associator on these words for the word recognition step.
Create a Python tesseract script Create a project folder and add a new main.py file inside that folder. Once the application gives access to PDF files, its content will be extracted in the form of images. These images will then be processed to extract the text.
Try Tesseract's bazaar configuration.
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