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Engine Comparison

Tesseract vs PaddleOCR

Feature Tesseract PaddleOCR
Accuracy 90-95% 98%+
Chinese Support Good Excellent
Speed ~200ms init, ~50ms/img ~3s init, ~500ms/img
Memory ~100MB ~500MB
Dependencies pytesseract + cv2 + PIL paddleocr + paddlepaddle
Best For Quick extraction, English High accuracy, Chinese docs

When to Use Which

Use Tesseract When:

  • Extracting text from screenshots
  • Processing English-only documents
  • Need fast OCR (-web scraping, quick验证)
  • Limited memory environment

Use PaddleOCR When:

  • Processing Chinese documents
  • Need high accuracy (98%+)
  • Working with complex layoutstables, forms
  • Critical data extraction (invoices, contracts)

Performance Comparison

Task Tesseract PaddleOCR Improvement
Screenshot text ~70ms ~600ms Tesseract faster
Chinese menu ~200ms ~550ms -
Invoice extraction ~180ms ~520ms -
Certificate OCR ~250ms ~580ms PaddleOCR more accurate

Quality Comparison

Example: Chinese Restaurant Menu

Tesseract (confidence: 88%)

北京烤鸭
宫保鸡丁
麻婆豆腐...

PaddleOCR (confidence: 99%)

北京烤鸭
宫保鸡丁
麻婆豆腐
...

Example: English Invoice

Tesseract (confidence: 92%)

Invoice #12345
Date: 2024-03-05
Amount: $199.99

PaddleOCR (confidence: 98%)

Invoice #12345
Date: 2024-03-05
Amount: $199.99

Recommendation

  • General use: Auto mode (PaddleOCR by default for quality)
  • Speed-critical: Force Tesseract
  • Chinese critical: Force PaddleOCR
  • Production: Auto mode with fallback to PaddleOCR for low confidence