schihei
c47089aa0d
- Add support for WAV files with automatic conversion to MP3 - Save converted MP3 files in the same directory as WAV files - Reuse existing MP3 files if already converted - Update documentation and requirements
93 lines
3.6 KiB
Markdown
93 lines
3.6 KiB
Markdown
# mknotes Improvement Recommendations
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This document outlines proposed improvements for the mknotes software, grouped by category.
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## Feature Enhancements
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- **Support for More Audio Formats** ✅ (Partially implemented - WAV support added)
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- ✅ Added support for WAV files with automatic conversion to MP3 before processing
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- Extend support to include additional formats like FLAC, OGG, etc.
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- ✅ Updated the `find_audio_files` function in `utils.py` to recognize WAV extension
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- **Customizable Enhancement Prompts**
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- Allow users to provide their own prompts via CLI arguments or configuration files.
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- Increase flexibility for different use cases (e.g., meeting notes, lectures, interviews).
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- **Batch Processing Controls**
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- Add the ability to limit the number of files processed in one run.
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- Implement resume functionality for interrupted batch processing.
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- **Output Format Options**
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- Support multiple output formats beyond Markdown (e.g., HTML, PDF, DOCX).
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- Add options for customizing Markdown styling.
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- **Caching Mechanism**
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- Implement caching for OpenAI API calls to reduce costs and improve performance.
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- Store intermediate results to avoid reprocessing if enhancement fails.
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## Technical Improvements
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- **Robust Error Handling and Logging**
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- Implement a proper logging system instead of print statements.
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- Add comprehensive error handling with appropriate recovery strategies.
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- Example: Add retry logic for API calls with exponential backoff.
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- **Configuration Management**
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- Create a configuration system using YAML/JSON files.
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- Allow users to set default values for all parameters.
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- Support environment-specific configurations.
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- **API Key Management**
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- Implement a more secure way to handle API keys.
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- Add support for API key rotation.
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- **Performance Optimization**
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- Implement parallel processing for transcription of multiple files.
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- Add an option to use local models for offline processing.
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- **Testing Framework**
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- Add unit tests for core functionality.
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- Implement integration tests for the complete workflow.
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## Code Structure Improvements
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- **Separation of Concerns**
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- Move prompts to separate configuration files.
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- Create a more abstract API client layer.
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- **Progress Tracking and Reporting**
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- Enhance progress reporting beyond simple tqdm bars.
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- Add detailed statistics about processing time, token usage, etc.
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- **Plugin Architecture**
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- Implement a plugin system to allow for custom transcription or enhancement modules.
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- Make it easier to switch between different AI models or services.
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## User Experience Enhancements
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- **Interactive Mode**
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- Add an interactive mode where users can preview and edit enhanced notes before saving.
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- Implement a simple TUI (Text User Interface) for a better CLI experience.
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- **Web Interface**
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- Create a simple web interface for users who prefer GUI over CLI.
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- Consider a lightweight Flask/FastAPI app that wraps the core functionality.
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- **Notification System**
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- Add notifications for long-running processes (email, desktop notifications).
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- Implement a webhook system for integration with other tools.
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## Documentation Improvements
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- **Enhanced Documentation**
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- Create comprehensive documentation with examples and use cases.
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- Add a troubleshooting guide for common issues.
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- **Sample Configurations**
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- Provide sample configuration files for different use cases.
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- Include examples of custom prompts for different types of content.
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---
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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.
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