A new player in the AI notetaking space, Talat, offers users a local-first solution that keeps meeting notes on their machines, not in the cloud. Developed as an alternative to the subscription-based Granola app, Talat provides a one-time fee option for those seeking a more private notetaking experience.
Nick Payne, the Yorkshire-based developer behind Talat, was inspired to create this local AI notetaker after exploring the capabilities of Granola and delving into Apple’s Core Audio Taps API. Payne’s journey led him to develop an open-source audio library, AudioTee, to enhance the functionality of his app.
Through his research, Payne discovered FluidAudio, a Swift framework enabling local, low-latency audio AI on Apple devices. By leveraging the Mac’s Neural Engine, Talat can run transcription models directly on the user’s device, ensuring data privacy without compromising on functionality.
Talat’s introduction highlights a growing trend towards local-first applications, emphasizing data security and user privacy. As the tech industry explores ways to balance convenience with confidentiality, Talat stands out as a promising solution for individuals and businesses seeking a secure notetaking experience.
Source: TechCrunch