Acknowledgements
Record & Learn is built on the shoulders of giants. We gratefully acknowledge the open-source projects and third-party components that make our application possible.
Open Source Technologies
Whisper
State-of-the-art speech recognition system that powers our on-device transcription.
Supabase
Open source Firebase alternative providing backend services for optional cloud storage.
OpenRouter
API service that provides access to various AI models for content generation features.
CoreML
Apple's machine learning framework used to optimize AI model performance on macOS.
SQLite
Self-contained, serverless database engine used for local data storage.
Swift NIO
Event-driven network application framework for high performance protocol servers & clients.
Kingfisher
Powerful, pure-Swift library for downloading and caching images from the web.
Swift Markdown
Parse and process Markdown in Swift, used for formatting study notes.
Additional Acknowledgements
We would also like to express our gratitude to:
- The Whisper team at OpenAI for their groundbreaking work in speech recognition technology.
- The open source community for their continuous contributions to software development.
- Our beta testers who provided invaluable feedback during the development process.
- All the users who have supported us and helped improve Record & Learn through their suggestions and feedback.
License Information
Record & Learn is proprietary software. The application uses various open-source components, each governed by its respective license.
For complete license information, please visit our licenses page or review the documentation included with the application.