PDmFer

THE PDF EMBEDDING POWERHOUSE

Overview • Features • Installation • Usage • Examples • Security • Contributing

PDmFer is a command-line tool designed to embed interactive elements into PDF documents with enterprise-grade reliability.

Transform ordinary PDFs into interactive, secure, and customized documents with download redirects, blur effects, password protection, and custom metadata.

PDmFer:

1. TAKES your input PDF document
2. EMBEDS interactive elements (download redirects, JavaScript, metadata)
3. APPLIES visual effects (blur) and security (password protection)
4. OUTPUTS enhanced, production-ready PDF

Built with robust error handling and optimized for high-performance processing of large PDFs across Windows, macOS, and Linux platforms.

• Python 3.8 or higher
• pip package manager
• Virtual environment (recommended)

1. CLONE THE REPOSITORY

git clone <repository-url>
cd pdmfer

2. CREATE VIRTUAL ENVIRONMENT

python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. INSTALL DEPENDENCIES

pip install -r requirements.txt
pip install -e .

Get started in seconds:

# Basic download redirect
pdmfer -i input.pdf -o output.pdf --link "https://example.com"

# With blur and password
pdmfer -i input.pdf -o output.pdf --link "https://example.com" --blur Medium --password "secure123"

pdmfer -i input.pdf -o output.pdf --link "https://example.com" [options...]

# Simple download redirect
pdmfer -i input.pdf -o output.pdf --link "https://example.com"

# With blur effect
pdmfer -i input.pdf -o output.pdf --link "https://example.com" --blur High

# With password protection
pdmfer -i input.pdf -o output.pdf --link "https://example.com" --password "secret123"

# Complete basic example
pdmfer -i input.pdf -o output.pdf \
  --link "https://example.com/download" \
  --blur Medium \
  --password "secure123" \
  --redirect-message "Download will start shortly"

# Full customization with all options
pdmfer -i input.pdf -o output.pdf \
  --link "https://example.com/download" \
  --blur Medium \
  --password "securepassword123" \
  --redirect-message "Accessing secure content..." \
  --title "Secure Document" \
  --author "John Doe" \
  --subject "Confidential Report" \
  --keywords "secure,confidential,report" \
  --verbose

# Process confidential corporate document
pdmfer -i confidential.pdf -o secure_confidential.pdf \
  --link "https://internal.example.com/access" \
  --blur High \
  --password "enterprise_secret" \
  --redirect-message "Accessing restricted content. Authentication required." \
  --title "Confidential Document" \
  --author "Corporate Security Team" \
  --subject "Internal Use Only" \
  --keywords "confidential,restricted,secure,corporate"

# Batch processing script
find . -name "*.pdf" -exec pdmfer -i {} -o processed_{} \
  --link "https://secure.example.com" \
  --blur Low \;

Blur effects work by converting PDF content to images and applying Gaussian blur filters.

Custom metadata improves document organization and searchability:

• Title - Document name in PDF viewers and file systems
• Author - Creator attribution
• Subject - Brief description of content
• Keywords - Comma-separated tags for search and categorization

• Uses AES-128 encryption for PDF security
• Protects against unauthorized access
• Compatible with standard PDF viewers

• All JavaScript is embedded within the PDF
• Execution requires JavaScript-enabled viewer
• Follows PDF security standards

• All links must use full URL format (http:// or https://)
• Links are validated before PDF creation

Use the -v flag for detailed output:

pdmfer -i input.pdf -o output.pdf --link "https://example.com" -v

PDmFer is designed for high-performance processing:

• Efficient memory usage for large PDFs
• Optimized processing algorithms
• Multi-library approach for feature compatibility
• Enterprise-grade reliability

Contributions are welcome! Feel free to:

• Report bugs
• Suggest new features
• Submit pull requests
• Improve documentation

1. Fork the repository
2. Create a feature branch
3. Submit a pull request
4. Ensure all tests pass

PDmFer is available in the public domain. See UNLICENSE.md for details.