RapidOCR

Lightweight OCR based on ONNX Runtime for fast inference

What is RapidOCR?

Lightweight OCR based on ONNX Runtime for fast inference. Best for speed and lightweight deployment.

Usage

from upsonic.ocr import OCR
from upsonic.ocr.layer_1.engines import RapidOCREngine
# Also available: from upsonic.ocr import RapidOCREngine

# Create engine instance
engine = RapidOCREngine(languages=['en'], confidence_threshold=0.5)

# Create OCR orchestrator
ocr = OCR(layer_1_ocr_engine=engine)

# Extract text from image
text = ocr.get_text('invoice.png')
print(text)

# Process PDF
result = ocr.process_file('document.pdf')
print(f"Extracted {len(result.text)} characters from {result.page_count} pages")

Parameters

Parameter	Type	Default	Description
languages	List[str]	['en']	List of language codes
confidence_threshold	float	0.0	Minimum confidence for text blocks
rotation_fix	bool	False	Auto-detect and fix image rotation
enhance_contrast	bool	False	Enhance image contrast
remove_noise	bool	False	Apply noise reduction
pdf_dpi	int	300	DPI for PDF rendering

Supported Languages

English, Chinese (simplified and traditional), Japanese, Korean, and several other scripts including Tamil, Telugu, Arabic, Cyrillic, and Devanagari.