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# Route: Read / Analyze / Extract
## Method 1: Text Extraction via pandoc (Fastest)
```bash
# Plain text
pandoc input.docx -t plain -o output.txt
# Markdown (preserves structure)
pandoc input.docx -t markdown -o output.md
# Extract with metadata
pandoc input.docx -t markdown --standalone -o output.md
```
**Best for**: Quick content reading, text analysis, word count, searching.
## Method 2: Raw XML Access (Detailed)
```bash
mkdir work && cd work && unzip ../input.docx
# Read main content
cat word/document.xml
# Read styles
cat word/styles.xml
# List embedded media
ls word/media/
# Read headers/footers
cat word/header1.xml
cat word/footer1.xml
```
**Best for**: Analyzing formatting, extracting styles, inspecting document structure, debugging layout issues.
### Quick XML Parsing
```python
import defusedxml.ElementTree as ET
tree = ET.parse("word/document.xml")
ns = {"w": "http://schemas.openxmlformats.org/wordprocessingml/2006/main"}
# Extract all text
texts = []
for t in tree.iter("{http://schemas.openxmlformats.org/wordprocessingml/2006/main}t"):
if t.text:
texts.append(t.text)
full_text = "".join(texts)
# Count paragraphs
paras = tree.findall(".//w:p", ns)
print(f"Paragraphs: {len(paras)}")
# Find headings
for para in paras:
pPr = para.find("w:pPr", ns)
if pPr is not None:
pStyle = pPr.find("w:pStyle", ns)
if pStyle is not None and "Heading" in pStyle.get(f"{{{ns['w']}}}val", ""):
text = "".join(t.text for t in para.iter(f"{{{ns['w']}}}t") if t.text)
print(f" {pStyle.get(f'{{{ns[\"w\"]}}}val')}: {text}")
```
## Method 3: Convert to Images (Visual Analysis)
```bash
# Convert to PDF first
libreoffice --headless --convert-to pdf input.docx
# Then to images
pdftoppm -png -r 200 input.pdf page
# Generates page-1.png, page-2.png, etc.
```
**Best for**: Visual layout analysis, comparing formatting, generating previews, when user asks "what does it look like".
## Method 4: python-docx Reading
```python
from docx import Document
doc = Document("input.docx")
# Read paragraphs
for para in doc.paragraphs:
print(f"[{para.style.name}] {para.text}")
# Read tables
for table in doc.tables:
for row in table.rows:
print([cell.text for cell in row.cells])
# Document properties
print(f"Sections: {len(doc.sections)}")
print(f"Paragraphs: {len(doc.paragraphs)}")
print(f"Tables: {len(doc.tables)}")
```
## Choosing the Right Method
| Need | Method |
|------|--------|
| Quick text content | pandoc |
| Document structure/outline | pandoc → markdown |
| Formatting details | Raw XML |
| Table data extraction | python-docx |
| Visual appearance | Convert to images |
| Style analysis | Raw XML (styles.xml) |
| Word/character count | pandoc → plain → wc |