speech

On-device speech-to-text for live audio in iOS is implemented using SpeechAnalyzer and SpeechTranscriber. This modular pipeline streams microphone input asynchronously, delivering private, fast transcription without network connectivity.

Yes, you can transcribe pre-recorded audio files locally on iOS. The transcription pipeline supports file-based audio input, applying audio format negotiation and explicit finalization of volatile results to ensure accurate transcripts.

The best way to handle long-form transcription on iOS without internet is using SpeechAnalyzer. It provides on-device model management via AssetInventory and supports long-form and distant-audio scenarios completely offline.

Asynchronous result streaming for iOS speech transcription delivers real-time volatile results followed by finalized text with timing metadata. Explicit finalization of volatile results ensures the final transcript remains accurate.

Yes, you need to check locales for on-device speech recognition. The transcription pipeline includes explicit locale checks and manages speech models via AssetInventory to ensure the requested language is supported locally.