Add comprehensive improvement proposals to enhancement_proposals.md

- Added Error Recovery and Resilience section for better error handling
- Added Memory and Performance Optimization for large file support
- Added Security Improvements for API key management
- Added Advanced User Experience features (dry-run, statistics, flexible options)
- Added Code Quality Improvements (type hints, dependency management)
- Added Extended Format Support (video files, audio features, offline mode)
- Added Output Management for better organization and export options
- Added Integration Capabilities (cloud storage, note-taking apps, automation)
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2025-05-22 21:43:26 +02:00
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@@ -89,6 +89,127 @@ This document outlines proposed improvements for the mknotes software, grouped b
- Provide sample configuration files for different use cases. - Provide sample configuration files for different use cases.
- Include examples of custom prompts for different types of content. - Include examples of custom prompts for different types of content.
## Error Recovery and Resilience
- **Robust Error Recovery**
- Implement proper error recovery mechanisms to prevent data loss
- Save transcriptions before enhancement to avoid losing work if API fails
- Add retry mechanism with exponential backoff for failed API calls
- Handle partial failures gracefully in batch processing
- **Process Persistence**
- Add checkpoint/resume functionality for interrupted batch processing
- Save processing state to allow continuation from last successful file
- Implement transaction-like processing (all-or-nothing for each file)
## Memory and Performance Optimization
- **Large File Handling**
- Implement streaming support for large audio files
- Add chunked processing to avoid loading entire files into memory
- Optimize memory usage for batch processing
- **Parallel Processing**
- Implement concurrent transcription of multiple files
- Add configurable worker threads/processes
- Optimize API calls with batching where possible
## Security Improvements
- **API Key Security**
- Validate API key before starting batch processing
- Implement secure storage for API keys (keyring integration)
- Remove unnecessary API key parameter passing
- Add support for multiple API keys with rotation
## Advanced User Experience
- **Preview and Planning**
- Add dry-run mode to preview what will be processed
- Show estimated costs before processing
- Implement interactive file selection mode
- **Processing Statistics**
- Display comprehensive statistics after processing (tokens used, cost, time)
- Add detailed progress reporting with ETA
- Generate processing summary reports
- **Flexible Processing Options**
- Add option to skip transcription and only enhance existing text files
- Support for processing specific file patterns or date ranges
- Implement file filtering based on duration or size
## Code Quality Improvements
- **Type Safety**
- Add type hints throughout the codebase
- Implement proper data validation
- Use dataclasses for configuration objects
- **Dependency Management**
- Remove standard library modules from requirements.txt (argparse)
- Pin dependency versions for reproducibility
- Add optional dependencies for advanced features
- **Configuration**
- Remove hardcoded values (e.g., "gpt-4.1" model name)
- Make all parameters configurable
- Support multiple configuration profiles
## Extended Format Support
- **Video File Support**
- Extract audio from video files (MP4, AVI, MOV, etc.)
- Preserve video metadata in output
- Option to generate subtitles
- **Advanced Audio Features**
- Language detection and specification for transcription
- Speaker diarization support
- Audio preprocessing options (noise reduction, normalization)
- Support for merging multiple audio files before processing
- **Offline Capabilities**
- Support for custom Whisper model paths
- Local LLM integration for enhancement
- Fully offline mode with local models
## Output Management
- **Organization Features**
- Organize output by date, source, or custom categories
- Preserve original file metadata
- Generate index/summary files for processed batches
- Support for incremental updates to existing notes
- **Export Options**
- Export to multiple formats simultaneously
- Custom templates for different output formats
- Metadata embedding in output files
## Integration Capabilities
- **Cloud Storage**
- Direct integration with S3, Google Drive, Dropbox
- Automatic backup of processed files
- Cloud-based processing queue
- **Note-Taking Apps**
- Direct export to Notion, Obsidian, Roam Research
- Sync with existing note structures
- Tag and categorization support
- **Automation**
- Webhook notifications for processing completion
- Custom post-processing script support
- Integration with workflow automation tools (Zapier, IFTTT)
- Watch folder functionality for automatic processing
- **API and SDK**
- RESTful API for remote processing
- Python SDK for programmatic access
- Batch job scheduling support
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These recommendations are intended to guide future development and prioritization for mknotes. Each suggestion can be implemented independently or as part of a broader roadmap. These recommendations are intended to guide future development and prioritization for mknotes. Each suggestion can be implemented independently or as part of a broader roadmap.