speech-recognition

Transcribe live and pre-recorded audio to text using Apple's Speech framework. Covers SFSpeechRecognizer (iOS 10+) and the new SpeechAnalyzer API (iOS 26+). SpeechAnalyzer is an actor-based API introduced in iOS 26 that replaces SFSpeechRecognizer for new projects. It uses Swift concurrency, AsyncSequence for results, and supports modular analysis via SpeechTranscriber . Request both speech recognition and microphone permissions before starting live transcription. Add these keys to Info.plist : The standard pattern: AVAudioEngine captures microphone audio → buffers are appended to SFSpeechAudioBufferRecognitionRequest → results stream in. Use SFSpeechURLRecognitionRequest for audio files on disk: On-device recognition (iOS 13+) works offline but supports fewer locales: Tip: On-device recognition avoids network latency and the one-minute audio limit imposed by server-based recognition. However, accuracy may be lower and not all locales are supported.