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The goal was to build an application that allows users to recognize text from images using OCR (Optical Character Recognition) powered by Tesseract and OpenCV. It supports multiple languages and can be applied to documents, license plates, or general images containing text.

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OCR Text Recognition App 📝🔍 (WORKING ON)

The goal was to build an application that allows users to recognize text from images using OCR (Optical Character Recognition) powered by Tesseract and OpenCV.
It supports multiple languages and can be applied to documents, license plates, or general images containing text.


📌 Features

  • Preprocessing of images for better OCR results:
    • Grayscale conversion
    • Thresholding
    • Filtering and blurring
    • Contour detection with bounding boxes
  • Text recognition with pytesseract.
  • Language support: English (eng), Portuguese (por), Simplified Chinese (chi_sim).
  • Works with different types of input images:
    • License plates
    • Documents
    • General text images

🛠️ Technologies Used

  • Python (main language)
  • OpenCV (image processing)
  • pytesseract / Tesseract OCR (optical character recognition)
  • Pillow (image handling)
  • NumPy (matrix and array operations)

About

The goal was to build an application that allows users to recognize text from images using OCR (Optical Character Recognition) powered by Tesseract and OpenCV. It supports multiple languages and can be applied to documents, license plates, or general images containing text.

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