v2.1.0 UI Overhaul

This release introduces a premium Apple-inspired UI redesign, light theme as default, removed badge, logo blending, footer refinements, and a single-viewport optimized layout.

v2.0.0 - Modular Architecture

ResumeUnmark v2.0.0 - Modular Architecture

Major refactoring to professional package structure while maintaining 100% compatibility for end users.

🎯 For End Users

No changes needed! Everything works the same:

• ✅ Web UI: Same functionality at https://patrickzs.github.io/ResumeUnmark/
• ✅ Output: Same *_clean.pdf files

✨ What's New

Architecture

• Modular codebase: Separated into core, cli, and utils packages
• Professional structure: Industry-standard Python package layout
• Better organized: Clear separation of concerns

For Developers

• src/core: PDFCleaner, EdgeTextDetector, configuration
• src/cli: Command-line interface
• src/utils: File handling utilities
• tests/: Comprehensive unit test suite
• scripts/: Build automation

Documentation

• 📖 Complete README with usage examples
• 👥 CONTRIBUTING guide for developers
• 🏗️ ARCHITECTURE documentation
• 📝 CHANGELOG for version history
• ⚖️ MIT License

Configuration

• Modern pyproject.toml (replaces setup.py)
• Separate prod/dev dependencies
• CI/CD ready (workflows can be added manually)

📦 Downloads

Web UI: No download needed - use https://patrickzs.github.io/ResumeUnmark/

Source Code: Clone or download from this repository

🔧 Installation Options

Option 1: Windows Executable (Recommended)

1. Download ResumeUnmark.exe from the assets below
2. Drag and drop PDF files onto the .exe
3. Get cleaned PDFs instantly

Option 2: Run from Source

git clone https://github.com/patrickzs/ResumeUnmark.git
cd ResumeUnmark
pip install -r requirements.txt
python -m src.cli.main "yourfile.pdf"

Option 3: Install as Package

pip install -e .

Then use in Python:

from src.core import PDFCleaner
cleaner = PDFCleaner()
cleaner.clean_file("document.pdf")

💥 Breaking Changes

For developers only (desktop .exe and Web UI unchanged):

• CLI command is now: python -m src.cli.main (was: python ResumeUnmark.py)
• Package-based imports: from src.core import PDFCleaner
• Legacy ResumeUnmark.py removed (code now in src/)

🙏 Thanks

Thank you for using ResumeUnmark! Report issues at https://github.com/patrickzs/ResumeUnmark/issues

v1.1.1: Smart Watermark Detection & Fixes

Updates

• Smarter Detection: Now identifies watermarks as right-aligned text situated strictly below the main body content.
• Consistency: Web UI and Desktop App now use 100% identical logic.

Fixes

• Fixed: Watermarks positioned higher on the page are no longer missed.
• Fixed: Body text (e.g., 'present') is no longer incorrectly flagged as a watermark.

v1.1.0

Highlights

• Added GitHub Pages Web UI (in /docs): drag/drop a PDF, clean locally in your browser, auto-download *_clean.pdf
• Shows the selected file name + size inside the drop area
• Optional experimental removal of small right-edge text watermarks

Notes

• Web UI is local-only (no uploads).
• If your resume has content near the far-right margin, disable the experimental right-edge text option.

ResumeUnmark v1.0.0

Initial public release of ResumeUnmark.

How to use:

1. Download ResumeUnmark.exe
2. Drag and drop your PDF(s) onto the EXE
3. Find output files ending with _clean.pdf