SwiftWhisper and whisperclip
SwiftWhisper is a Swift binding/wrapper for the Whisper speech recognition model, while WhisperClip is a macOS application that uses Whisper transcription as its core engine—making them ecosystem siblings that both depend on the same underlying Whisper model but serve different use cases (library vs. standalone app).
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.
About whisperclip
aboda-dirbas/whisperclip
🎤 Enhance your voice-to-text transcriptions with WhisperClip, prioritizing privacy and featuring AI improvements for macOS users.
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