matocr8d

A simple and easy-to-use OCR (Optical Character Recognition) library for Python that leverages Tesseract OCR engine for text extraction from images.

Features

• Extract text from various image formats (JPEG, PNG, BMP, TIFF, WebP)
• Support for multiple languages
• Get text with confidence scores and metadata
• Extract text blocks with bounding box coordinates
• Simple and intuitive API
• Comprehensive error handling

Installation

Prerequisites

1. Install Tesseract OCR on your system:

   Windows:

   # Download and install from: https://github.com/UB-Mannheim/tesseract/wiki
   # Make sure to add Tesseract to your PATH
   

   macOS:

   brew install tesseract
   

   Ubuntu/Debian:

   sudo apt update
   sudo apt install tesseract-ocr
   

2. Install additional language packs if needed:

   # Ubuntu/Debian
   sudo apt install tesseract-ocr-[lang_code]
   
   # Example for Spanish
   sudo apt install tesseract-ocr-spa
   

Install the library

pip install matocr8d

Or install from source:

git clone https://github.com/Akshay404error/OCR-library-python.git
cd OCR-library-python
pip install -r requirements.txt
pip install -e .

Quick Start

from matocr8d import MatOCR8D

# Initialize OCR engine
ocr = MatOCR8D()

# Extract text from image file
text = ocr.extract_text("path/to/image.jpg")
print(text)

# Extract text with metadata
result = ocr.extract_text_with_data("path/to/image.jpg")
print(f"Text: {result['text']}")
print(f"Confidence: {result['confidence']}")
print(f"Word count: {result['word_count']}")

# Extract text blocks with coordinates
blocks = ocr.extract_text_blocks("path/to/image.jpg")
for block in blocks:
    print(f"Text: '{block['text']}' at {block['bbox']}")

Advanced Usage

Using Different Languages

# Initialize with Spanish language
ocr = MatOCR8D(language='spa')

# Get available languages
languages = ocr.get_available_languages()
print(f"Available languages: {languages}")

Custom Tesseract Path

# Specify custom Tesseract executable path
ocr = MatOCR8D(tesseract_cmd='C:/Program Files/Tesseract-OCR/tesseract.exe')

Using PIL Image Objects

from PIL import Image
from matocr8d import MatOCR8D

# Load image with PIL
image = Image.open("path/to/image.jpg")

# Extract text from PIL Image object
ocr = MatOCR8D()
text = ocr.extract_text(image)
print(text)

API Reference

MatOCR8D Class

Constructor

MatOCR8D(language='eng', tesseract_cmd=None)

• language (str): Language code for OCR (default: 'eng')
• tesseract_cmd (str, optional): Path to Tesseract executable

Methods

extract_text(image_input)

Extract plain text from an image.

Parameters:

• image_input (str or PIL.Image): Path to image file or PIL Image object

Returns:

• str: Extracted text

extract_text_with_data(image_input)

Extract text with additional metadata.

Parameters:

• image_input (str or PIL.Image): Path to image file or PIL Image object

Returns:

• dict: Dictionary containing:
  • text: Extracted text
  • raw_data: Raw OCR data
  • confidence: Average confidence score
  • word_count: Number of words detected

extract_text_blocks(image_input)

Extract text blocks with bounding box coordinates.

Parameters:

• image_input (str or PIL.Image): Path to image file or PIL Image object

Returns:

• list: List of dictionaries containing:
  • text: Text block content
  • confidence: Confidence score
  • bbox: Bounding box coordinates (x, y, width, height)

get_available_languages()

Get list of available OCR languages.

Returns:

• list: Available language codes

Supported Image Formats

• JPEG (.jpg, .jpeg)
• PNG (.png)
• BMP (.bmp)
• TIFF (.tiff, .tif)
• WebP (.webp)

Error Handling

The library provides custom exceptions for better error handling:

• OCRError: Base exception for OCR-related errors
• ImageLoadError: Raised when an image cannot be loaded
• UnsupportedFormatError: Raised when an unsupported image format is provided

from matocr8d import MatOCR8D, OCRError, ImageLoadError

ocr = MatOCR8D()

try:
    text = ocr.extract_text("nonexistent.jpg")
except ImageLoadError as e:
    print(f"Image error: {e}")
except OCRError as e:
    print(f"OCR error: {e}")

Examples

Check the examples/ directory for more usage examples:

• Basic text extraction
• Batch processing
• Text detection with confidence filtering
• Multi-language OCR

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Tesseract OCR for the OCR engine
• Pillow for image processing
• pytesseract for Python Tesseract wrapper