xqr

PDF to SVG Workflow

This guide explains how to convert PDF files to SVG format with embedded metadata and text extraction.

Prerequisites

Basic Usage

Convert PDF to SVG

python examples/enhanced_pdf_svg_workflow.py input.pdf -o output.svg

Extract Specific Pages

Extract pages 1, 3, and 5-7:

python examples/enhanced_pdf_svg_workflow.py input.pdf --pages "1,3,5-7"

Export Metadata

Export metadata to JSON:

python examples/enhanced_pdf_svg_workflow.py input.pdf --format json --output metadata.json

Export metadata to HTML:

python examples/enhanced_pdf_svg_workflow.py input.pdf --format html --output metadata.html

Advanced Features

Password-Protected PDFs

python examples/enhanced_pdf_svg_workflow.py encrypted.pdf --password "your-password"

Custom DPI for Text Extraction

Increase DPI for better OCR accuracy (default: 300):

python examples/enhanced_pdf_svg_workflow.py input.pdf --dpi 600

Output Formats

XQR supports multiple output formats:

  1. SVG with Embedded PDF:
    • Interactive PDF viewer (browser-dependent)
    • Extracted text with formatting
    • Comprehensive metadata section
  2. HTML:
    • Formatted metadata display
    • Navigation links
    • Responsive design
  3. JSON:
    • Raw metadata in machine-readable format
    • Compatible with other tools and scripts

Troubleshooting

Common Issues

For more information, see the Troubleshooting Guide.

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