speech-recognition

Transcribe live and pre-recorded audio to text using Apple's Speech framework.

dpearson2699/swift-ios-skills|Updated Apr 26, 2026

Works with

Claude CodeCursorClineWindsurfCodexGoose

What it does

Covers SFSpeechRecognizer (iOS 10+) and the new SpeechAnalyzer API (iOS 26+).

Repository

dpearson2699/swift-ios-skills

Last updated

Apr 26, 2026

Installation Guide

Select your AI agent

How to use speech-recognition on Cursor

AI-first code editor with Composer

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

›Cursor installed and configured on your machine
›Node.js 16+ with npm — verify with node --version
›Active project directory where you want to add speech-recognition

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/dpearson2699/swift-ios-skills --skill speech-recognition

Fetches speech-recognition from dpearson2699/swift-ios-skills and configures it for Cursor.

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?

│

│ ── Universal (.agents/skills) ────────────────

│ · Cline · Codex · Goose · Windsurf

│ ●Cursor(selected)

│ · Cursor · Aider · Continue

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/speech-recognition

Restart Cursor to activate speech-recognition. Access via /speech-recognition in your agent's command palette.

⚠

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

›View source on GitHub ›Skills CLI docs ›About Cursor ›What are agent skills?

Documentation

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

SpeechAnalyzer (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.

Basic transcription with SpeechAnalyzer

import Speech // 1. Create a transcriber module guard let locale = SpeechTranscriber.supportedLocale( equivalentTo: Locale.current ) else { return } let transcriber = SpeechTranscriber(locale: locale, preset: .offlineTranscription) // 2. Ensure assets are installed if let request = try await AssetInventory.assetInstallationRequest( supporting: [transcriber] ) { try await request.downloadAndInstall() } // 3. Create input stream and analyzer let (inputSequence, inputBuilder) = AsyncStream.makeStream(of: AnalyzerInput.self) let audioFormat = await SpeechAnalyzer.bestAvailableAudioFormat( compatibleWith: [transcriber] ) let analyzer = SpeechAnalyzer(modules: [transcriber]) // 4. Feed audio buffers (from AVAudioEngine or file) Task { // Append PCM buffers converted to audioFormat let pcmBuffer: AVAudioPCMBuffer = // ... your audio buffer inputBuilder.yield(AnalyzerInput(buffer: pcmBuffer)) inputBuilder.finish() } // 5. Consume results Task { for try await result in transcriber.results { let text = String(result.text.characters) print(text) } } // 6. Run analysis let lastSampleTime = try await analyzer.analyzeSequence(inputSequence) // 7. Finalize if let lastSampleTime { try await analyzer.finalizeAndFinish(through: lastSampleTime) } else { try analyzer.cancelAndFinishNow() }

Transcribing an audio file with SpeechAnalyzer

let transcriber = SpeechTranscriber(locale: locale, preset: .offlineTranscription) let audioFile = try AVAudioFile(forReading: fileURL) let analyzer = SpeechAnalyzer( inputAudioFile: audioFile, modules: [transcriber], finishAfterFile: true ) for try await result in transcriber.results { print(String(result.text.characters)) }

Key differences from SFSpeechRecognizer

Feature

SFSpeechRecognizer

SpeechAnalyzer

Concurrency

Callbacks/delegates

async/await + AsyncSequence

Type

class

actor

Modules

Monolithic

Composable (SpeechTranscriber, SpeechDetector)

Audio input

append(_:) on request

AsyncStream<AnalyzerInput>

Availability

iOS 10+

iOS 26+

On-device

requiresOnDeviceRecognition

Asset-based via AssetInventory

SFSpeechRecognizer Setup

Creating a recognizer with locale

import Speech // Default locale (user's current language) let recognizer = SFSpeechRecognizer() // Specific locale let recognizer = SFSpeechRecognizer(locale: Locale(identifier: "en-US")) // Check if recognition is available for this locale guard let recognizer, recognizer.isAvailable else { print("Speech recognition not available") return }

Monitoring availability changes

final class SpeechManager: NSObject, SFSpeechRecognizerDelegate { private let recognizer = SFSpeechRecognizer()! override init() { super.init() recognizer.delegate = self } func speechRecognizer( _ speechRecognizer: SFSpeechRecognizer, availabilityDidChange available: Bool ) { // Update UI — disable record button when unavailable } }

Authorization

Request both speech recognition and microphone permissions before starting live transcription. Add these keys to Info.plist:

NSSpeechRecognitionUsageDescription

NSMicrophoneUsageDescription

import Speech import AVFoundation func requestPermissions() async -> Bool { let speechStatus = await withCheckedContinuation { continuation in SFSpeechRecognizer.requestAuthorization { status in continuation.resume(returning: status) } } guard speechStatus == .authorized else { return false } let micStatus: Bool if #available(iOS 17, *) { micStatus = await AVAudioApplication.requestRecordPermission() } else { micStatus = await withCheckedContinuation { continuation in AVAudioSession.sharedInstance().requestRecordPermission { granted in continuation.resume(returning: granted) } } } return micStatus }

speech-recognition

What it does

Category

Repository

Last updated

Installation Guide

How to use speech-recognition on Cursor

Prerequisites

Run the install command

Select Cursor when prompted

Verify installation

Security Notice

Documentation

List & Monetize Your Skill

Use Cases

User Story & Requirements Generation

Competitive Analysis

Roadmap Prioritization

Install Skill

Speech Recognition

Contents

SpeechAnalyzer (iOS 26+)

Basic transcription with SpeechAnalyzer

Transcribing an audio file with SpeechAnalyzer

Key differences from SFSpeechRecognizer

SFSpeechRecognizer Setup

Creating a recognizer with locale

Monitoring availability changes

Authorization

Live Microphone Transcription

Stakeholder Communication

Implementation Guide

Best Practices

When to Use This

Learning Path

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Reviews

Discussion

`Stakeholder Communication`

`Implementation Guide`

`Best Practices`

`When to Use This`

`Learning Path`

`Related Skills`

`Reviews`

`Discussion`