easyocr2 1.0.0

Next-generation OCR with 80+ languages - Ready-to-use OCR powered by deep learning

EasyOCR2

Next-generation ready-to-use OCR with 80+ supported languages and all popular writing scripts.

Installation

pip install easyocr2

Quick Start

import easyocr2

# Create reader
reader = easyocr2.Reader(['en'])

# Perform OCR
result = reader.readtext('image.jpg')
print(result)

Features

• 🌍 80+ Languages Support
• 🚀 GPU Acceleration (CUDA/MPS)
• 📦 Easy Installation via pip
• 🎯 High Accuracy with deep learning
• 🔧 Simple API - just 3 lines of code

Supported Languages

Latin, Chinese (Simplified & Traditional), Japanese, Korean, Thai, Arabic, Cyrillic, Devanagari, and many more!

See full list at: https://github.com/cyberiums/EasyOCR

Advanced Usage

import easyocr2

# GPU mode (default)
reader = easyocr2.Reader(['en'], gpu=True)

# CPU mode
reader = easyocr2.Reader(['en'], gpu=False)

# Multiple languages
reader = easyocr2.Reader(['en', 'ch_sim', 'ja'])

# Perform OCR with details
result = reader.readtext('image.jpg', detail=1)
for bbox, text, confidence in result:
    print(f"Text: {text}, Confidence: {confidence:.2f}")

Integration with RustOCR

EasyOCR2 works seamlessly with RustOCR CLI for high-performance batch processing:

# Install easyocr2
pip install easyocr2

# Use with RustOCR server mode
rustocr --server
rustocr -i image.jpg --use-server  # 5-10x faster!

Requirements

• Python >= 3.7
• PyTorch >= 1.6

License

Apache-2.0

Credits

• Fork/continuation of the original EasyOCR by JaidedAI
• Maintained by Cyberiums
• See: https://github.com/cyberiums/EasyOCR