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smart-ocr

Extract text from images and scanned documents using PaddleOCR - supports 100+ languages

duykhangdangzn10 source installs☆ 0 Repository starsv1.0

Installation

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Skill instructions

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
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
# 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
from paddleocr import PaddleOCR

ocr = PaddleOCR(
    # Detection settings
    det_model_dir=None,         # Custom detection model
    det_limit_side_len=960,     # Ma...

Source information

Source
github
Repository
openclaw/skills
Path
skills/duykhangdangzn1/smar
Version
1.0
Commit
57adde403d9804a774df9e7baebfcfa34a5f5a1a
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# 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...

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