WhisperKit and whisper-web
These are **complements** — WhisperKit provides an optimized inference engine for Apple Silicon devices, while whisper-web enables browser-based transcription, allowing developers to choose the platform (native iOS/macOS vs. web) best suited for their deployment needs.
About WhisperKit
argmaxinc/WhisperKit
On-device Speech Recognition for Apple Silicon
This tool helps Apple users convert spoken audio into written text directly on their devices, without needing an internet connection. You provide an audio file, and it quickly generates a transcription with features like word timestamps and speaker identification. It's designed for developers building apps for macOS, iOS, or iPadOS that require robust, private speech-to-text capabilities.
About whisper-web
xenova/whisper-web
ML-powered speech recognition directly in your browser
This tool helps you convert spoken audio into written text, all within your web browser without sending data to a server. You feed it an audio recording (like a voice note, meeting recording, or spoken lecture), and it produces a precise transcription. It's ideal for anyone who needs to quickly get text from speech, such as journalists, researchers, or students.
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