We are going to review my method that gives consistent results. Technically speaking, Tesseract should already be configured to handle multiple languages, including non-English languages however, in my experience the multi-language support can be a bit temperamental. Follow the instructions in the How to install Tesseract 4 section of that tutorial, confirm your Tesseract install, and then come back here to learn how to configure Tesseract for multiple languages.I have provided instructions for installing the Tesseract OCR engine as well as pytesseract (the Python bindings used to interface with Tesseract) in my blog post OpenCV OCR and text recognition with Tesseract.If you have not already installed Tesseract: We will break this down, step by step, to see what it looks like on both macOS and Ubuntu. In this section, we are going to configure Tesseract OCR for multiple languages. Let’s get started! Configuring Tesseract OCR for Multiple Languages Translate the OCR’d text from the given input language into English.Detect and OCR text in non-English languages.Once we have completed all of this setup, we’ll implement the Project Structure for a Python script that will: I’ll then show you how you can download multiple language packs for Tesseract and verify that it works properly - we’ll use German as an example case.įrom there, we will configure the TextBlob package, which will be used to translate from one language into another. In the first part of this tutorial you will learn how to configure the Tesseract OCR engine for multiple languages, including non-English languages. Looking for the source code to this post? Jump Right To The Downloads Section Tesseract Optical Character Recognition (OCR) for Non-English Languages

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