bambu-studio-ai
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...
Extract text from images and scanned documents using PaddleOCR - supports 100+ languages
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Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
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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