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Waveflow

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 About Waveflow

Offline Private Local Note Taking & Summary

Platforms

Web Self-hosted macOS iOS

Languages

Swift

Links

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WaveFlow - Offline Private Note Taking & Summary

WaveFlow is an open-source, offline-first application for private note-taking and meeting summaries. It uses local LLMs to keep your sensitive data on your machine while providing powerful transcription and summarization capabilities.

✨ Features

  • πŸŽ™οΈ Local speech-to-text capture (microphone and system audio)
  • πŸ“ Offline summary generation
  • πŸ”’ Complete data privacy - everything stays on your machine
  • πŸ’¨ Fast processing with local LLMs
  • πŸ–₯️ Cross-platform support

🎯 Why WaveFlow?

We built WaveFlow to address common pain points with existing solutions:

  • Keep sensitive meeting data private and secure
  • Eliminate recurring subscription costs for teams
  • Provide a reliable offline-first experience

πŸš€ Getting Started

TODO: fill in this space

πŸ›£οΈ Roadmap

Completed βœ…

  • Local speech to text capture for microphone and system audio
  • Local summary generation

In Progress 🚧

  • Configurable Whisper model size selection
  • Support for multiple LLM models (Qwen, Llama, etc.)
  • Ollama integration for advanced users
  • Templates library (1:1s, Customer Discovery, Standups, etc.)
  • Apple Notes/iCloud integration
  • UI/UX improvements

⚠️ Alpha Version Notice

Please note that WaveFlow is currently in alpha. While fully functional, you may encounter bugs or incomplete features. We're actively working on improvements and welcome your feedback!

🀝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

πŸ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.

πŸ™ Acknowledgments

Special thanks to all contributors and the open-source community for making this project possible.


Made with ❀️ by the Acorn Globus team