This Python script automates the extraction of text from images using Tesseract OCR. It processes all images in the test_images/ folder and saves the extracted text as .txt files in the extracted_texts/ directory, maintaining the original image filenames.

OCR-Text-Extractor/
├── OCR.py
├── test_images/
│   └── image1.jpg
│   └── image2.png
├── extracted_texts/
│   └── image1.txt
│   └── image2.txt
└── README.md

• Batch processes .jpg, .jpeg, and .png images.
• Supports multiple languages (default: English and Hindi).
• Automatically creates the extracted_texts/ folder if it doesn't exist.
• Provides informative logging for each processed file.([GitHub][2])

git clone https://github.com/Mrigank005/OCR
cd OCR

Ensure you have Python 3 installed. Then, install the required Python libraries:

pip install pillow pytesseract

• Windows: Download and install from Tesseract OCR Windows Installer.

• macOS: Use Homebrew:([GitHub][1])

  brew install tesseract

• Linux (Debian/Ubuntu):

  sudo apt-get install tesseract-ocr

Ensure Tesseract is added to your system's PATH.

Place the images you want to process into the test_images/ directory.

python OCR.py

The extracted text files will be saved in the extracted_texts/ directory.

• Language Support: The script defaults to English and Hindi. To modify the languages, edit the langs parameter in the extract_text_and_save function within OCR.py:

  def extract_text_and_save(image_path, langs=["eng", "hin"]):

Refer to Tesseract OCR Language Data for available language codes.([GitHub][1])

• Tesseract Path: If Tesseract isn't in your system's PATH, specify its location in OCR.py:

  import pytesseract
  pytesseract.pytesseract.tesseract_cmd = r'/path/to/tesseract'

For an image named page1.jpg in test_images/, the script will generate page1.txt in extracted_texts/ containing the recognized text.

• Tesseract OCR
• pytesseract
• Pillow