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Using pytesseract, we’ll OCR our input image: # load the input image and convert it from BGR to RGB channel

-lang: The language to translate the OCR’d text into - by default, it is Spanish ( es).

-image: The path to our input image to be OCR’d and translated.

From there, we dive into our command line argument parsing procedure. We begin with our imports, where TextBlob is the most notable for this script. Help="language to translate OCR'd text to (default is Spanish)") # construct the argument parser and parse the argumentsĪp.add_argument("-i", "-image", required=True,Īp.add_argument("-l", "-lang", type=str, default="es", Open the ocr_translate.py in our project directory structure, and insert the following code: # import the necessary packages We are now ready to implement our Python script, which will automatically OCR text and translate it into our chosen language. Implementing Our OCR and Language Translation Script

Our textblob based OCR translator is housed in the ocr_translate.py script. Our project consists of a funny cartoon image that I generated with a comic tool called Explosm. Let’s start by reviewing the project directory structure for this tutorial: |- comic.png Notice how I have successfully translated the Japanese phrase for “Good morning” into English. Let’s use TextBlob to do that now: UTF8ipxm > text = u"おはようございます。" Once instantiated, we can call the translate() method of the TextBlob class and perform the automatic text translation. Notice how we are importing the TextBlob class - this class enables us to automatically analyze a piece of text for tags, noun phrases, and yes, even language translation. Next, you should familiarize yourself with the library by opening a Python shell: $ python

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Once textblob is installed, you should run the following command to download the Natural Language Toolkit (NLTK) corpora that textblob uses to automatically analyze text: $ python -m textblob.download_corpora

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If not, you can install it with pip: $ pip install textblob If you’ve followed the development environment configuration instructions from an earlier tutorial, then you should already have textblob installed on your system. To translate text from one language to another, we’ll use the textblob Python package ( ). Translating Text to Different Languages with TextBlob We’ll wrap up the tutorial with a discussion of our OCR and text translation results. From there, we’ll review our project directory structure and implement our OCR and text translation Python script. In the first part of this tutorial, we’ll briefly discuss the textblob package and how it can be used to translate text. Review the results of the text translation.Implement a Python script that OCRs text and then translates it.

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Learn how to translate text using the TextBlob Python package.Gain access to Jupyter Notebooks for this tutorial and other PyImageSearch guides that are pre-configured to run on Google Colab’s ecosystem right in your web browser! No installation required.Īnd best of all, these Jupyter Notebooks will run on Windows, macOS, and Linux! Learning Objectives Then join PyImageSearch University today!

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