Whisperboard and SwiftWhisper
These are ecosystem siblings—SwiftWhisper is a Swift library for audio transcription that could serve as the underlying transcription engine for Whisperboard's iOS app implementation.
About Whisperboard
Saik0s/Whisperboard
The open-source iOS app that's making quality voice transcription more accessible on mobile devices.
Leverages whisper.cpp for on-device inference of OpenAI's Whisper models, enabling local transcription without cloud dependency. Supports dynamic model downloading and selection within the app, resumable transcription sessions, and flexible audio input via microphone selection or file import. Built with Swift and The Composable Architecture (TCA) for predictable state management, using Tuist for project generation.
About SwiftWhisper
exPHAT/SwiftWhisper
🎤 The easiest way to transcribe audio in Swift
Wraps OpenAI's Whisper model via the optimized whisper.cpp C++ library, enabling on-device audio transcription in Swift with async/await APIs and delegate callbacks for streaming segment updates and progress tracking. Supports CoreML acceleration through optional `.mlmodelc` encoder files, and integrates with AudioKit for audio format conversion to the required 16kHz PCM input format.
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