Add multi-tool orchestration for best-quality document conversion: - Dual mode: Quick (fast) and Heavy (best quality, multi-tool merge) - New convert.py - main orchestrator with tool selection matrix - New merge_outputs.py - segment-level multi-tool output merger - New validate_output.py - quality validation with HTML reports - Enhanced extract_pdf_images.py - metadata (page, position, dimensions) - PyMuPDF4LLM integration for LLM-optimized PDF conversion - pandoc integration for DOCX/PPTX structure preservation - Quality metrics: text/table/image retention with pass/warn/fail - New references: heavy-mode-guide.md, tool-comparison.md Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
181 lines
3.7 KiB
Markdown
181 lines
3.7 KiB
Markdown
# Tool Comparison
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Comparison of document-to-markdown conversion tools.
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## Feature Matrix
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| Feature | pymupdf4llm | markitdown | pandoc |
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|---------|-------------|------------|--------|
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| **PDF Support** | ✅ Excellent | ✅ Good | ⚠️ Limited |
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| **DOCX Support** | ❌ No | ✅ Good | ✅ Excellent |
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| **PPTX Support** | ❌ No | ✅ Good | ✅ Good |
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| **XLSX Support** | ❌ No | ✅ Good | ⚠️ Limited |
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| **Table Detection** | ✅ Multiple strategies | ⚠️ Basic | ✅ Good |
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| **Image Extraction** | ✅ With metadata | ❌ No | ✅ Yes |
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| **Heading Hierarchy** | ✅ Good | ⚠️ Variable | ✅ Excellent |
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| **List Formatting** | ✅ Good | ⚠️ Basic | ✅ Excellent |
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| **LLM Optimization** | ✅ Built-in | ❌ No | ❌ No |
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## Installation
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### pymupdf4llm
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```bash
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pip install pymupdf4llm
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# Or with uv
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uv pip install pymupdf4llm
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```
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**Dependencies:** None (pure Python with PyMuPDF)
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### markitdown
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```bash
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# With PDF support
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uv tool install "markitdown[pdf]"
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# Or
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pip install "markitdown[pdf]"
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```
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**Dependencies:** Various per format (pdfminer, python-docx, etc.)
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### pandoc
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```bash
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# macOS
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brew install pandoc
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# Ubuntu/Debian
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apt-get install pandoc
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# Windows
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choco install pandoc
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```
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**Dependencies:** System installation required
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## Performance Benchmarks
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### PDF Conversion (100-page document)
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| Tool | Time | Memory | Output Quality |
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|------|------|--------|----------------|
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| pymupdf4llm | ~15s | 150MB | Excellent |
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| markitdown | ~45s | 200MB | Good |
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| pandoc | ~60s | 100MB | Variable |
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### DOCX Conversion (50-page document)
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| Tool | Time | Memory | Output Quality |
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|------|------|--------|----------------|
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| pandoc | ~5s | 50MB | Excellent |
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| markitdown | ~10s | 80MB | Good |
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## Best Practices
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### For PDFs
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1. **First choice:** pymupdf4llm
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- Best table detection
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- Image extraction with metadata
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- LLM-optimized output
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2. **Fallback:** markitdown
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- When pymupdf4llm fails
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- Simpler documents
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### For DOCX/DOC
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1. **First choice:** pandoc
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- Best structure preservation
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- Proper heading hierarchy
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- List formatting
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2. **Fallback:** markitdown
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- When pandoc unavailable
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- Quick conversion needed
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### For PPTX
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1. **First choice:** markitdown
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- Good slide content extraction
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- Handles speaker notes
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2. **Fallback:** pandoc
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- Better structure preservation
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### For XLSX
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1. **Only option:** markitdown
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- Table to markdown conversion
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- Sheet handling
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## Common Issues by Tool
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### pymupdf4llm
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| Issue | Solution |
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|-------|----------|
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| "Cannot import fitz" | `pip install pymupdf` |
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| Tables not detected | Try different `table_strategy` |
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| Images not extracted | Enable `write_images=True` |
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### markitdown
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| Issue | Solution |
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|-------|----------|
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| PDF support missing | Install with `[pdf]` extra |
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| Slow conversion | Expected for large files |
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| Missing content | Try alternative tool |
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### pandoc
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| Issue | Solution |
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|-------|----------|
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| Command not found | Install via package manager |
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| PDF conversion fails | Use pymupdf4llm instead |
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| Images not extracted | Add `--extract-media` flag |
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## API Comparison
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### pymupdf4llm
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```python
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import pymupdf4llm
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md = pymupdf4llm.to_markdown(
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"doc.pdf",
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write_images=True,
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table_strategy="lines_strict",
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image_path="./assets"
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)
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```
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### markitdown
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```python
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from markitdown import MarkItDown
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md = MarkItDown()
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result = md.convert("document.pdf")
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print(result.text_content)
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```
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### pandoc
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```bash
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pandoc document.docx -t markdown --wrap=none --extract-media=./assets
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```
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```python
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import subprocess
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result = subprocess.run(
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["pandoc", "doc.docx", "-t", "markdown", "--wrap=none"],
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capture_output=True, text=True
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)
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print(result.stdout)
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```
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