Open Source AI Project


Whisperboard is an iOS app that records and transcribes speech to text using the OpenAI Whisper model.


Whisperboard is an innovative application designed for iOS users who seek a reliable and efficient method to convert their spoken words into text. This application is built upon the OpenAI Whisper model, a cutting-edge speech recognition technology known for its accuracy and efficiency in understanding and transcribing spoken language. By integrating the Whisper model, Whisperboard offers its users a seamless experience in transcribing speech to text in real-time. This feature is particularly beneficial for various practical applications, including but not limited to, taking notes during lectures or meetings, creating accurate transcriptions of discussions or interviews, and enhancing accessibility for individuals who rely on voice inputs due to preferences or physical limitations.

A distinctive feature of Whisperboard is its capability to operate offline, thanks to its development on whisper.cpp. This aspect is crucial for users who require transcription services but may not have consistent access to the internet or prefer to maintain their privacy by processing data locally on their device. The offline functionality ensures that Whisperboard can be used anywhere and anytime, providing flexibility and convenience to its users.

Given its robust framework and offline capability, Whisperboard stands out as a powerful tool for iOS users, offering a versatile solution for speech-to-text conversion. Whether for professional use, educational purposes, or accessibility support, Whisperboard harnesses the power of OpenAI’s Whisper model to meet the diverse needs of its users, making digital text creation more accessible and efficient.

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