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5 Text Extraction And Metadata
ASecuritySub-skill of pypdf: 5. Text Extraction and Metadata.
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- Added September 9, 2026
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[](https://www.skillsdirectory.com/skills/vamseeachanta-5-text-extraction-and-metadata)---
name: pypdf-5-text-extraction-and-metadata
description: 'Sub-skill of pypdf: 5. Text Extraction and Metadata.'
version: 1.0.0
category: data
type: reference
scripts_exempt: true
---
# 5. Text Extraction and Metadata
## 5. Text Extraction and Metadata
```python
"""
Extract text and manage PDF metadata.
"""
from pypdf import PdfReader, PdfWriter
from pathlib import Path
from typing import Dict, Optional, List
from datetime import datetime
def extract_text(
input_path: str,
pages: Optional[List[int]] = None,
preserve_layout: bool = False
) -> str:
"""Extract text from PDF.
Args:
input_path: Source PDF file
pages: List of page numbers to extract (0-indexed), None for all
preserve_layout: Try to preserve text layout
Returns:
Extracted text as string
"""
reader = PdfReader(input_path)
text_parts = []
target_pages = pages if pages else range(len(reader.pages))
for page_num in target_pages:
if 0 <= page_num < len(reader.pages):
page = reader.pages[page_num]
if preserve_layout:
page_text = page.extract_text(extraction_mode="layout")
else:
page_text = page.extract_text()
if page_text:
text_parts.append(f"--- Page {page_num + 1} ---\n{page_text}")
return "\n\n".join(text_parts)
def extract_text_to_file(
input_path: str,
output_path: str,
pages: Optional[List[int]] = None
) -> int:
"""Extract text from PDF and save to file."""
text = extract_text(input_path, pages)
with open(output_path, 'w', encoding='utf-8') as f:
f.write(text)
word_count = len(text.split())
print(f"Extracted {word_count} words to: {output_path}")
return word_count
def get_pdf_info(input_path: str) -> Dict:
"""Get PDF document information and metadata."""
reader = PdfReader(input_path)
info = {
'file_path': input_path,
'num_pages': len(reader.pages),
'is_encrypted': reader.is_encrypted,
'metadata': {}
}
# Get metadata
if reader.metadata:
metadata = reader.metadata
info['metadata'] = {
'title': metadata.get('/Title', ''),
'author': metadata.get('/Author', ''),
'subject': metadata.get('/Subject', ''),
'creator': metadata.get('/Creator', ''),
'producer': metadata.get('/Producer', ''),
'creation_date': str(metadata.get('/CreationDate', '')),
'modification_date': str(metadata.get('/ModDate', ''))
}
# Get page dimensions of first page
if reader.pages:
first_page = reader.pages[0]
info['page_width'] = float(first_page.mediabox.width)
info['page_height'] = float(first_page.mediabox.height)
info['page_size_inches'] = (
info['page_width'] / 72,
info['page_height'] / 72
)
return info
def set_pdf_metadata(
input_path: str,
output_path: str,
metadata: Dict[str, str]
) -> None:
"""Set PDF metadata.
Args:
input_path: Source PDF file
output_path: Destination file
metadata: Dictionary with keys: title, author, subject, keywords, creator
"""
reader = PdfReader(input_path)
writer = PdfWriter()
# Copy pages
for page in reader.pages:
writer.add_page(page)
# Set metadata
writer.add_metadata({
'/Title': metadata.get('title', ''),
'/Author': metadata.get('author', ''),
'/Subject': metadata.get('subject', ''),
'/Keywords': metadata.get('keywords', ''),
'/Creator': metadata.get('creator', 'pypdf'),
'/Producer': 'pypdf',
'/ModDate': datetime.now().strftime("D:%Y%m%d%H%M%S")
})
writer.write(output_path)
print(f"Metadata updated: {output_path}")
def search_pdf(
input_path: str,
search_term: str,
case_sensitive: bool = False
) -> List[Dict]:
"""Search for text in PDF and return page numbers and context."""
reader = PdfReader(input_path)
results = []
for i, page in enumerate(reader.pages):
text = page.extract_text()
if not text:
continue
search_text = text if case_sensitive else text.lower()
term = search_term if case_sensitive else search_term.lower()
if term in search_text:
# Find context around match
idx = search_text.find(term)
start = max(0, idx - 50)
end = min(len(text), idx + len(term) + 50)
context = text[start:end].replace('\n', ' ')
results.append({
'page': i + 1,
'context': f"...{context}..."
})
return results
# Example usage
# text = extract_text('document.pdf')
# info = get_pdf_info('document.pdf')
# set_pdf_metadata('document.pdf', 'with_metadata.pdf', {
# 'title': 'My Document',
# 'author': 'John Doe',
# 'subject': 'Report'
# })
# results = search_pdf('document.pdf', 'important')
```
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