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Conversion Strategy Selection

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Sub-skill of cad-engineering: Conversion Strategy Selection (+3).

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  • Added September 9, 2026
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A100/100

Scanned September 9, 2026

npx -y skills add vamseeachanta/workspace-hub --skill conversion-strategy-selection --agent claude-code

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SKILL.md
---
name: cad-engineering-conversion-strategy-selection
description: 'Sub-skill of cad-engineering: Conversion Strategy Selection (+3).'
version: 1.0.0
category: engineering
type: reference
scripts_exempt: true
---

# Conversion Strategy Selection (+3)

## Conversion Strategy Selection


1. **Vector PDFs**: Direct vector extraction
2. **Scanned Drawings**: OCR and vectorization
3. **Mixed Content**: Hybrid approach
4. **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


```python
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.*

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