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Extract text from images and scanned documents using PaddleOCR - supports 100+ languages
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This skill enables intelligent text extraction from images and scanned documents using PaddleOCR - a leading OCR engine supporting 100+ languages. Extract text from photos, screenshots, scanned PDFs, and handwritten documents with high accuracy.
Example prompts:
from paddleocr import PaddleOCR
# Initialize OCR engine
ocr = PaddleOCR(use_angle_cls=True, lang='en')
# Run OCR on image
result = ocr.ocr('image.png', cls=True)
# Result structure: [[box, (text, confidence)], ...]
for line in result[0]:
box = line[0] # [[x1,y1], [x2,y2], [x3,y3], [x4,y4]]
text = line[1][0] # Extracted text
conf = line[1][1] # Confidence score
print(f"{text} ({conf:.2f})")
# Common language codes
languages = {
'en': 'English',
'ch': 'Chinese (Simplified)',
'cht': 'Chinese (Traditional)',
'japan': 'Japanese',
'korean': 'Korean',
'french': 'French',
'german': 'German',
'spanish': 'Spanish',
'russian': 'Russian',
'arabic': 'Arabic',
'hindi': 'Hindi',
'vi': 'Vietnamese',
'th': 'Thai',
# ... 100+ languages supported
}
# Use specific language
ocr = PaddleOCR(lang='ch') # Chinese
ocr = PaddleOCR(lang='japan') # Japanese
ocr = PaddleOCR(lang='multilingual') # Auto-detect
from paddleocr import PaddleOCR
ocr = PaddleOCR(
# Detection settings
det_model_dir=None, # Custom detection model
det_limit_side_len=960, # Ma...
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# Smart OCR Skill
## Overview
This skill enables intelligent text extraction from images and scanned documents using **PaddleOCR** - a leading OCR engine supporting 100+ languages. Extract text from photos, screenshots, scanned PDFs, and handwritten documents with high accuracy.
## How to Use
1. Provide the image or scanned document
2. Optionally specify language(s) to detect
3. I'll extract text with position and confidence data
**Example prompts:**
- "Extract all text from this screenshot"
- "OCR this scanned PDF document"
- "Read the text from this business card photo"
- "Extract Chinese and English text from this image"
## Domain Knowledge
### PaddleOCR Fundamentals
```python
from paddleocr import PaddleOCR
# Initialize OCR engine
ocr = PaddleOCR(use_angle_cls=True, lang='en')
# Run OCR on image
result = ocr.ocr('image.png', cls=True)
# Result structure: [[box, (text, confidence)], ...]
for line in result[0]:
box = line[0] # [[x1,y1], [x2,y2], [x3,y3], [x4,y4]]
text = line[1][0] # Extracted text
conf = line[1][1] # Confidence score
print(f"{text} ({conf:.2f})")
```
### Supported Languages
```python
# Common language codes
languages = {
'en': 'English',
'ch': 'Chinese (Simplified)',
'cht': 'Chinese (Traditional)',
'japan': 'Japanese',
'korean': 'Korean',
'french': 'French',
'german': 'German',
'spanish': 'Spanish',
'russian': 'Russian',
'arabic': 'Arabic',
'hindi': 'Hindi',
'vi': 'Vietnamese',
'th': 'Thai',
# ... 100+ languages supported
}
# Use specific language
ocr = PaddleOCR(lang='ch') # Chinese
ocr = PaddleOCR(lang='japan') # Japanese
ocr = PaddleOCR(lang='multilingual') # Auto-detect
```
### Configuration Options
```python
from paddleocr import PaddleOCR
ocr = PaddleOCR(
# Detection settings
det_model_dir=None, # Custom detection model
det_limit_side_len=960, # Ma...Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
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