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Computer Vision/Text_Extractor/readme.md

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+I have a text extractor, to extract texts from images of any extension(png, jpg, jpeg, etc).
+I have done this using two different approaches :
+
+1. PyTesseract: It is a Python wrapper for Google's Tesseract-OCR Engine.
+   It's widely used for text extraction from clear, high-quality images.
+   PyTesseract works well with images where the text is easily distinguishable from the background.
+
+   Key Features:
+    - Works best with clear, high-contrast images.
+    - Good for images with clean and well-spaced text.
+    - Simple and fast for high-quality documents.
+
+2. EasyOCR : It is a deep learning-based OCR library that supports over 80 languages.
+   It’s great for noisy, low-quality images where PyTesseract may struggle.
+   EasyOCR uses more advanced algorithms, making it better at handling blurry text, noisy backgrounds, and images with distorted or handwritten text.
+
+   Key Features:
+   - Works better on noisy or complex images.
+   - Supports multiple languages and scripts.
+   - Handles skewed, rotated, and non-uniform text layout better.
+   - Can extract text from both printed and handwritten sources.
+
+