77 lines
1.8 KiB
Markdown
77 lines
1.8 KiB
Markdown
# Engine Comparison
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## Tesseract vs PaddleOCR
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| Feature | Tesseract | PaddleOCR |
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|---------|-----------|-----------|
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| **Accuracy** | 90-95% | 98%+ |
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| **Chinese Support** | Good | Excellent |
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| **Speed** | ~200ms init, ~50ms/img | ~3s init, ~500ms/img |
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| **Memory** | ~100MB | ~500MB |
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| **Dependencies** | `pytesseract + cv2 + PIL` | `paddleocr + paddlepaddle` |
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| **Best For** | Quick extraction, English | High accuracy, Chinese docs |
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## When to Use Which
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### Use Tesseract When:
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- ✅ Extracting text from screenshots
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- ✅ Processing English-only documents
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- ✅ Need fast OCR (-web scraping, quick验证)
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- ✅ Limited memory environment
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### Use PaddleOCR When:
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- ✅ Processing Chinese documents
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- ✅ Need high accuracy (98%+)
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- ✅ Working with complex layouts（tables, forms）
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- ✅ Critical data extraction (invoices, contracts)
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## Performance Comparison
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| Task | Tesseract | PaddleOCR | Improvement |
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|------|-----------|-----------|-------------|
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| Screenshot text | ~70ms | ~600ms | Tesseract faster |
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| Chinese menu | ~200ms | ~550ms | - |
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| Invoice extraction | ~180ms | ~520ms | - |
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| Certificate OCR | ~250ms | ~580ms | PaddleOCR more accurate |
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## Quality Comparison
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### Example: Chinese Restaurant Menu
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**Tesseract (confidence: 88%)**
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```
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北京烤鸭
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宫保鸡丁
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麻婆豆腐...
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```
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**PaddleOCR (confidence: 99%)**
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```
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北京烤鸭
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宫保鸡丁
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麻婆豆腐
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...
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```
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### Example: English Invoice
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**Tesseract (confidence: 92%)**
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```
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Invoice #12345
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Date: 2024-03-05
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Amount: $199.99
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```
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**PaddleOCR (confidence: 98%)**
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```
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Invoice #12345
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Date: 2024-03-05
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Amount: $199.99
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```
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## Recommendation
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- **General use**: Auto mode (PaddleOCR by default for quality)
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- **Speed-critical**: Force Tesseract
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- **Chinese critical**: Force PaddleOCR
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- **Production**: Auto mode with fallback to PaddleOCR for low confidence |