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speech-recognition

Convert live and pre-recorded audio into text with Apple's Speech framework.

Updated Jul 12, 2026
Search Tags:#speech recognition#audio transcription#speech-to-text#iOS development#Apple Speech framework
One-click install
npx skills add https://github.com/yashpalsince2004/National_academy_app --skill speech-recognition-yashpalsince2004
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: speech-recognition
Source: https://github.com/yashpalsince2004/National_academy_app/tree/main/Mobile/.agents/skills/speech-recognition
Command: npx skills add https://github.com/yashpalsince2004/National_academy_app --skill speech-recognition-yashpalsince2004

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill solves the problem of converting live and pre-recorded speech into text using Apple's Speech framework, allowing users to utilize voice commands to transcribe content and streamline speech recognition workflows.

Core Features & Use Cases

  • Live Speech Transcription: Converts real-time audio from the microphone into text.
  • Pre-Recorded Audio Recognition: Analyzes and transcribes audio files already recorded.
  • On-Device vs Server Recognition: Provides the flexibility to use either on-device or server-based recognition for better performance and reliability.
  • Handling Results: Manages and processes partial and final recognition results for seamless integration with various applications.

Quick Start

Start speech recognition and speak your message to transcribe it into text.

Frequently Asked Questions about speech-recognition

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert spoken audio into text using Apple's Speech framework?▼

You can convert spoken audio into text by using Apple's Speech framework to transcribe live microphone input or pre-recorded audio files into written text on iOS.

What is the difference between on-device and server-based speech recognition in iOS?▼

On-device speech recognition processes audio locally for better privacy and offline reliability, while server-based recognition routes audio to Apple servers for potentially higher accuracy and broader language support.

Can I transcribe real-time microphone audio into text on iOS?▼

Yes, you can transcribe real-time microphone audio into text by utilizing the live speech transcription capabilities provided by Apple's Speech framework on iOS.

Does iOS speech recognition support both SFSpeechRecognizer and SpeechAnalyzer APIs?▼

Yes, iOS speech recognition supports both SFSpeechRecognizer for iOS 10+ and SpeechAnalyzer for iOS 26+, allowing you to handle partial and final transcription results across different versions.

How do I handle microphone and speech recognition authorization for audio transcription?▼

Handling microphone and speech recognition authorization requires requesting user permissions within your iOS app to access audio input and route spoken words to Apple's Speech framework for transcription.

What are the limitations of server-backed speech-to-text on iOS?▼

Server-backed speech-to-text on iOS requires an active internet connection, may experience network latency, and is subject to Apple's daily usage limits for recognition requests.

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