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ImageWeaver v1.0.0 - Initial Release

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@shini111 shini111 released this 24 Jul 22:29
· 1 commit to main since this release
v1.0.0
7e9ce96

🎯 ImageWeaver v1.0.0 - AI-Powered Image Placement

First official release! 🎉

ImageWeaver intelligently restores images to translated HTML files using advanced context analysis and LLM refinement. Perfect for Korean→English translation workflows where images get lost during text-only translation.

🚀 Quick Start for Windows

Option 1: Download Executable (Recommended)

  1. Download ImageWeaver-1.0.0-windows.zip from assets below
  2. Extract the zip file
  3. Run start.bat for one-click setup menu
  4. Or directly run ImageWeaver.exe for GUI

Option 2: Individual Downloads

  • ImageWeaver.exe (17.3 MB) - Modern GUI application
  • ImageWeaver-Console.exe (13.8 MB) - Command line version

No Python installation required! ✨

✨ What's New in v1.0.0

  • 🎯 Advanced Context Extraction: Dynamic thresholds (60-100 chars), quality scoring, adaptive windowing
  • 🧠 LLM-Powered Refinement: Ollama (local) and OpenAI support for intelligent placement
  • 📊 Smart Fallback Strategies: 4-tier placement system ensures images are never lost
  • 🖥️ Modern Dark Mode GUI: Professional interface with real-time progress tracking
  • 💻 Command Line Support: Batch processing for automation workflows
  • 📈 Detailed Analytics: Success rates, strategy breakdowns, performance metrics

🎯 Performance Highlights

  • 15-25x faster than brute-force approaches
  • 95% cost reduction for OpenAI usage with advanced targeting
  • Dynamic adaptation to document characteristics
  • Professional Windows batch files for easy setup

🛠️ LLM Support

Ollama (Recommended - Free & Local)

  1. Install from https://ollama.ai
  2. Run: ollama pull llama3.2:1b
  3. Start: ollama serve

OpenAI (Cloud - Paid)

💻 System Requirements

  • Windows: 10+ (64-bit)
  • RAM: 4GB minimum (8GB recommended for LLM features)
  • Storage: 50MB for application
  • Optional: Ollama for local LLM processing

🔧 Advanced Features

  • Dynamic threshold adaptation based on paragraph length
  • Context quality scoring with dialogue/action detection
  • Adaptive window sizing based on document structure
  • Intelligent context usage (up to 5+5 paragraphs for LLM)
  • Repetitive content detection with automatic fallbacks

📁 Usage Example

Original folder: C:\docs\original\     (HTML files with images)
Translated folder: C:\docs\translated\ (HTML files, text only)
Output folder: C:\docs\output\         (HTML files with images restored)

🤝 Perfect For

  • Post-translation processing - Restore images after AI translation
  • Content migration - Move images between different HTML structures
  • Quality assurance - Ensure translated documents maintain visual layout
  • Batch operations - Process large sets of files efficiently

📄 What's Included

  • ImageWeaver.exe - Main GUI application (Windows)
  • ImageWeaver-Console.exe - Command line version (Windows)
  • Batch files - One-click setup and launch scripts
  • Complete documentation - README, LICENSE, requirements
  • Source code - Full Python source for other platforms

🐛 Known Issues

  • Very short paragraphs (< 10 characters) may affect context quality scoring
  • Large documents (> 1000 paragraphs) may require longer processing times

🔗 Links

  • Documentation: See README.md
  • Issues: Report bugs in the Issues tab
  • Source Code: Available for other platforms

Supports Korean→English workflows with advanced AI-powered context matching

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