| name | doc-to-markdown |
| description | Converts DOCX/PDF/PPTX to high-quality Markdown with automatic post-processing. Fixes pandoc grid tables, simple tables, image paths, CJK bold spacing, attribute noise, and code blocks. Benchmarked best-in-class (7.6/10) against Docling, MarkItDown, Pandoc raw, and Mammoth. Trigger on "convert document", "docx to markdown", "parse word", "doc to markdown", "解析word", "转换文档". |
Doc to Markdown
Convert documents to high-quality markdown with intelligent multi-tool orchestration and automatic DOCX post-processing.
Architecture: Pandoc (best-in-class extraction) + 8 post-processing fixes (our value-add).
Quick Start
uv run --with pymupdf4llm --with markitdown scripts/convert.py document.docx -o output.md --assets-dir ./media
uv run --with pymupdf4llm --with markitdown scripts/convert.py document.pdf -o output.md
uv run --with pytest pytest scripts/test_convert.py -v
Dual Mode
| Mode | Speed | Quality | Use Case |
|---|
| Quick (default) | Fast | Good | Drafts, simple documents |
| Heavy | Slower | Best | Final documents, complex layouts |
Tool Selection
| Format | Quick Mode | Heavy Mode |
|---|
| PDF | pymupdf4llm | pymupdf4llm + markitdown |
| DOCX | pandoc + post-processing | pandoc + markitdown |
| PPTX | markitdown | markitdown + pandoc |
| XLSX | markitdown | markitdown |
DOCX Post-Processing (automatic)
When converting DOCX via pandoc, 8 cleanups are applied automatically:
| Problem | Fix | Test coverage |
|---|
Grid tables (+:---+) | Single-column → blockquote, multi-column → pipe table | TestPostprocessPipeline |
Simple tables ( ---- ----) | Multi-column images → pipe table with captions | TestSimpleTable |
Image path nesting (media/media/) | Flatten to media/, absolute → relative | test_stats_tracking |
Pandoc attributes ({width="..."}) | Removed | test_pandoc_attributes_removed |
CJK bold spacing (**粗体**中文) | Add space around ** for CJK bold spans | TestCjkBoldSpacing (15 cases) |
| Indented dashed code blocks | → fenced ``` with language detection | test_code_block_with_language |
Escaped brackets (\[...\]) | → [...] | test_escaped_brackets_fixed |
Double-bracket links ([[text]](url)) | → [text](url) | test_double_bracket_links_fixed |
CJK Bold Spacing — why and how
DOCX uses run-level styling (no spaces between bold/normal runs in CJK text). Markdown renderers need whitespace around ** to recognize bold boundaries.
Rule: if a **content** span contains any CJK character, ensure both sides have a space — unless already spaced or at line boundary. This handles CJK punctuation, emoji adjacency, and mixed content.
Before: 打开**飞书**,就可以 → some renderers fail to bold
After: 打开 **飞书** ,就可以 → universally renders correctly
Heavy Mode Workflow
Heavy Mode runs multiple tools in parallel and selects the best segments:
- Parallel Execution: Run all applicable tools simultaneously
- Segment Analysis: Parse each output into segments (tables, headings, images, paragraphs)
- Quality Scoring: Score each segment based on completeness and structure
- Intelligent Merge: Select best version of each segment across tools
Merge Criteria
| Segment Type | Selection Criteria |
|---|
| Tables | More rows/columns, proper header separator |
| Images | Alt text present, local paths preferred |
| Headings | Proper hierarchy, appropriate length |
| Lists | More items, nested structure preserved |
| Paragraphs | Content completeness |
Image Extraction
uv run --with pymupdf scripts/extract_pdf_images.py document.pdf -o ./extracted-images
uv run --with pymupdf scripts/extract_pdf_images.py document.pdf --markdown refs.md
Output:
- Images:
extracted-images/img_page1_1.png, extracted-images/img_page2_1.jpg
- Metadata:
extracted-images/images_metadata.json (page, position, dimensions)
Quality Validation
uv run --with pymupdf scripts/validate_output.py document.pdf output.md
uv run --with pymupdf scripts/validate_output.py document.pdf output.md --report report.html
Quality Metrics
| Metric | Pass | Warn | Fail |
|---|
| Text Retention | >95% | 85-95% | <85% |
| Table Retention | 100% | 90-99% | <90% |
| Image Retention | 100% | 80-99% | <80% |
Merge Outputs Manually
python scripts/merge_outputs.py output1.md output2.md -o merged.md
python scripts/merge_outputs.py output1.md output2.md -o merged.md --verbose
Path Conversion (Windows/WSL)
python scripts/convert_path.py "C:\Users\<windows-user>\Documents\file.pdf"
Common Issues
"No conversion tools available"
pip install pymupdf4llm
uv tool install "markitdown[pdf]"
brew install pandoc
FontBBox warnings during PDF conversion
- Harmless font parsing warnings, output is still correct
Images missing from output
- Use Heavy Mode for better image preservation
- Or extract separately with
scripts/extract_pdf_images.py
Tables broken in output
- Use Heavy Mode - it selects the most complete table version
- Or validate with
scripts/validate_output.py
Bundled Scripts
| Script | Purpose |
|---|
convert.py | Main orchestrator with Quick/Heavy mode + DOCX post-processing |
test_convert.py | 31 tests covering all post-processing functions |
merge_outputs.py | Merge multiple markdown outputs |
validate_output.py | Quality validation with HTML report |
extract_pdf_images.py | PDF image extraction with metadata |
convert_path.py | Windows to WSL path converter |
References
references/benchmark-2026-03-22.md - 5-tool benchmark (Docling/MarkItDown/Pandoc/Mammoth/ours)
references/heavy-mode-guide.md - Detailed Heavy Mode documentation
references/tool-comparison.md - Tool capabilities comparison
references/conversion-examples.md - Batch operation examples
Next Step: Clean Up Converted Content
After converting documents to markdown, suggest cleanup:
Conversion complete: [N] files converted to markdown.
Options:
A) Clean up docs — run /daymade-docs:docs-cleaner to consolidate redundant content (Recommended if multiple files)
B) Check facts — run /fact-checker to verify claims in the converted content
C) No thanks — the markdown conversion is sufficient