vamseeachanta Conversion Strategy Selection (+3)
Conversion Strategy Selection
- Vector PDFs: Direct vector extraction
- Scanned Drawings: OCR and vectorization
- Mixed Content: Hybrid approach
- Complex Cases: Manual reconstruction
Conversion Tools
| Category | Tools |
|---|---|
| Commercial | AutoDWG, AnyDWG, Print2CAD, Scan2CAD, pdf2cad |
| Open-Source | Inkscape+pstoedit, potrace, autotrace, pdf2dxf |
| Libraries | OpenCV, Tesseract OCR, CADLib, LibreDWG, TeighaFile |
| Cloud Services | Zamzar, CloudConvert, CAD Exchanger |
| AI/ML Tools | Deep learning drawing recognition, neural vectorization |
PDF Analysis Workflow
from digitalmodel.agents.cad import PDFAnalyzer
# Analyze PDF type
analyzer = PDFAnalyzer()
analysis = analyzer.analyze("drawing.pdf")
print(f"PDF Type: {analysis['type']}") # vector/raster/hybrid
print(f"Creation Method: {analysis['creation_method']}")
print(f"Embedded Fonts: {analysis['fonts']}")
*See sub-skills for full details.*
## Conversion Quality Optimization
```python
from digitalmodel.agents.cad import CADConverter
converter = CADConverter()
# Pre-processing for scanned PDFs
converter.preprocess(
input_file="scanned_drawing.pdf",
operations=[
"denoise",
*See sub-skills for full details.*