ios-speech-recognition
OfficialTurn speech into on-device text for iOS.
Software Engineering#ios#dictation#avfoundation#speech-recognition#sfspeechrecognizer#real-time-transcription#permission-handling
Authorco-labs-co
Version1.0.0
Installs0
System Documentation
What problem does it solve?
On-device iOS speech-to-text enables apps to convert spoken words into text without relying on network services, improving privacy and latency.
Core Features & Use Cases
- Setup SFSpeechRecognizer and AVAudioEngine for real-time transcription in iOS apps.
- Handle user permissions and microphone access for seamless dictation and voice command workflows.
- Use cases include dictation, voice commands, accessibility features, and hands-free interactions on iPhone/iPad.
Quick Start
Integrate Apple's Speech Framework into an iOS project, request necessary permissions, and begin capturing audio to transcribe speech.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ios-speech-recognition Download link: https://github.com/co-labs-co/context-harness-skills/archive/main.zip#ios-speech-recognition Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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