ocrbridge-easyocr 3.1.1

EasyOCR engine for OCR Bridge

OCR Bridge - EasyOCR Engine

EasyOCR engine implementation for OCR Bridge.

Overview

This package provides an EasyOCR engine that integrates with the OCR Bridge architecture. EasyOCR is a deep learning-based OCR engine with excellent support for Asian scripts and automatic GPU acceleration.

Features

• 80+ Languages: Excellent support for Asian scripts (Chinese, Japanese, Korean, Thai, etc.)
• GPU Acceleration: Automatic GPU detection and usage with graceful CPU fallback
• Multiple Formats: JPEG, PNG, TIFF, PDF
• Deep Learning: Advanced neural network models for high accuracy
• HOCR Output: Structured XML with bounding boxes

Installation

pip install ocrbridge-easyocr

Note: This will install PyTorch and EasyOCR dependencies (~2GB).

For GPU support, install CUDA-compatible PyTorch first:

pip install torch torchvision --index-url https://download.pytorch.org/whl/cu118
pip install ocrbridge-easyocr

Usage

The engine is automatically discovered by OCR Bridge via entry points.

Parameters

• languages (list[str]): Language codes, e.g., ["en"], ["ch_sim", "en"] (default: ["en"])
• text_threshold (float): Confidence threshold for text detection 0.0-1.0 (default: 0.7)
• link_threshold (float): Threshold for linking text regions 0.0-1.0 (default: 0.7)

Example

from pathlib import Path
from ocrbridge.engines.easyocr import EasyOCREngine, EasyOCRParams

engine = EasyOCREngine()

# Process with defaults (English)
hocr = engine.process(Path("document.pdf"))

# Process with custom parameters
params = EasyOCRParams(
    languages=["ch_sim", "en"],
    text_threshold=0.7,
    link_threshold=0.7
)
hocr = engine.process(Path("chinese_document.pdf"), params)

GPU Support

The engine automatically detects and uses GPU if available. No configuration needed!

Version

0.1.0