Swift

The official Swift library for the Typecast API. Convert text to lifelike speech using AI-powered voices. Compatible with Swift 5.9+ and supports all Apple platforms: iOS, macOS, tvOS, watchOS, and visionOS.

Swift Package

Typecast Swift SDK

Source Code

Typecast Swift SDK Source Code

Requirements

Platform	Minimum Version
iOS	13.0+
macOS	10.15+
tvOS	13.0+
watchOS	6.0+
visionOS	1.0+
Swift	5.9+

Installation

Swift Package Manager
Xcode

Add the following to your Package.swift:

dependencies: [
    .package(url: "https://github.com/neosapience/typecast-sdk.git", from: "0.3.9")
]

Then add Typecast to your target dependencies:

targets: [
    .target(
        name: "YourTarget",
        dependencies: ["Typecast"]
    )
]

Open your project in Xcode
Go to File → Add Package Dependencies…
Enter the repository URL: https://github.com/neosapience/typecast-sdk.git
Select version rules and click Add Package
Select the Typecast library and add it to your target

Latest registered version: typecast-swift/v0.3.9 in the SDK Git tags. Make sure you have Swift 5.9 or higher installed. The SDK uses Swift Concurrency (async/await) which requires this minimum version.

Quick Start

import AVFoundation
import Typecast

let client = TypecastClient(apiKey: "YOUR_API_KEY")
var audioPlayer: AVAudioPlayer?

// Simple usage with convenience method
let audio = try await client.speak(
    "Hello! I'm your friendly text-to-speech assistant.",
    voiceId: "tc_672c5f5ce59fac2a48faeaee"
)

// Play audio directly from data
audioPlayer = try AVAudioPlayer(data: audio.audioData)
audioPlayer?.play()
print("Duration: \(audio.duration)s, Format: \(audio.format.rawValue)")

Features

The Typecast Swift SDK provides powerful features for text-to-speech conversion:

Multiple Voice Models: Support for ssfm-v30 (latest) and ssfm-v21 AI voice models
Multi-language Support: 37 languages including English, Korean, Spanish, Japanese, Chinese, and more
Emotion Control: Preset emotions (normal, happy, sad, angry, whisper, toneup, tonedown) or smart context-aware inference
Audio Customization: Control loudness (LUFS -70 to 0), pitch (-12 to +12 semitones), tempo (0.5x to 2.0x), and format (WAV/MP3)
Voice Discovery: V2 Voices API with filtering by model, gender, age, and use cases
Instant Voice Cloning: Upload a WAV/MP3 sample and create a custom voice ID
Swift Concurrency: Full async/await support for modern Swift development
Thread-Safe: All types conform to Sendable for safe concurrent usage
Timestamp TTS: Word- and character-level alignment data for subtitles, karaoke, and lip-sync
Cross-Platform: Works on iOS, macOS, tvOS, watchOS, and visionOS
Streaming: Real-time chunked audio delivery for low-latency playback

Voice Recommendations

Use recommendVoices when you know the desired style but not the exact voice_id.

let voices = try await client.recommendVoices(
    query: "warm female voice for a product tutorial",
    count: 3
)

for voice in voices {
    print("\(voice.voiceId) \(voice.voiceName) \(voice.score)")
}

Recommendation results contain only voiceId, voiceName, and score. Use getVoice(voiceId:) or getVoices(filter:) when you need detailed metadata such as supported models, emotions, gender, age, or use cases.

Configuration

Initialize the client with your API key:

import Typecast

// Direct initialization
let client = TypecastClient(apiKey: "your-api-key")

// With custom base URL
let client = TypecastClient(
    apiKey: "your-api-key",
    baseURL: "https://api.typecast.ai"
)

// Using configuration struct
let config = TypecastConfiguration(apiKey: "your-api-key")
let client = TypecastClient(configuration: config)

When requests go through your own proxy, set baseURL to the proxy endpoint and omit apiKey. The SDK will not send the X-API-KEY header for nil or empty keys. Requests to the default Typecast host still require an API key.

Proxy without API key

let client = TypecastClient(
    baseURL: "https://your-proxy.example.com"
)

Advanced Usage

Emotion Control (ssfm-v30)

ssfm-v30 offers two emotion control modes: Preset and Smart.

Smart Mode
Preset Mode
Convenience Method

Let the AI infer emotion from context:

let request = TTSRequest(
    voiceId: "tc_672c5f5ce59fac2a48faeaee", // Find voice IDs at https://studio.typecast.ai/developers/api/voices
    text: "Everything is going to be okay.",
    model: .ssfmV30,
    prompt: .smart(SmartPrompt(
        previousText: "I just got the best news!",  // Optional context
        nextText: "I can't wait to celebrate!"      // Optional context
    ))
)

let response = try await client.textToSpeech(request)
audioPlayer = try AVAudioPlayer(data: response.audioData)
audioPlayer?.play()

Explicitly set emotion with preset values:

let request = TTSRequest(
    voiceId: "tc_672c5f5ce59fac2a48faeaee",
    text: "I am so excited to show you these features!",
    model: .ssfmV30,
    prompt: .preset(PresetPrompt(
        emotionPreset: .happy,  // normal, happy, sad, angry, whisper, toneup, tonedown
        emotionIntensity: 1.5   // Range: 0.0 to 2.0
    ))
)

let response = try await client.textToSpeech(request)
audioPlayer = try AVAudioPlayer(data: response.audioData)
audioPlayer?.play()

Use the convenience method for quick emotion control:

let audio = try await client.speak(
    "I'm so excited!",
    voiceId: "tc_672c5f5ce59fac2a48faeaee",
    emotion: .happy,
    intensity: 1.5
)

audioPlayer = try AVAudioPlayer(data: audio.audioData)
audioPlayer?.play()

Audio Customization

Control loudness, pitch, tempo, and output format:

let request = TTSRequest(
    voiceId: "tc_672c5f5ce59fac2a48faeaee",
    text: "Customized audio output!",
    model: .ssfmV30,
    output: OutputSettings(
        targetLufs: -14.0,     // Range: -70 to 0 (LUFS)
        audioPitch: 2,        // Range: -12 to +12 semitones
        audioTempo: 1.2,      // Range: 0.5x to 2.0x
        audioFormat: .mp3     // Options: .wav, .mp3
    ),
    seed: 42  // Unsigned seed for reproducible results
)

let response = try await client.textToSpeech(request)

audioPlayer = try AVAudioPlayer(data: response.audioData)
audioPlayer?.play()
print("Duration: \(response.duration)s, Format: \(response.format.rawValue)")

Generate audio to a file

Use generateToFile when you want the SDK to synthesize speech and write the audio bytes directly to a local file. The model defaults to ssfm-v30, and .mp3 / .wav extensions infer the output format when no output format is set. Browse available voice IDs on the Voices page.

try await client.generateToFile(
    "output.mp3",
    request: GenerateToFileRequest(
        voiceId: "tc_672c5f5ce59fac2a48faeaee", // Find voice IDs at https://studio.typecast.ai/developers/api/voices
        text: "Hello from Typecast."
    )
)

Text pauses

Use text pause markup when you only need silent gaps inside one composed text segment. Put <|5s|>, <|1s|>, <|0.3s|>, or <|0.34413s|> directly in the text. The value is interpreted as seconds and must end with s. This keeps the pause expression visible in plain text without adding separate pause calls.

let audio = try await client.composeSpeech()
    .defaults(ComposerSettings(voiceId: "tc_672c5f5ce59fac2a48faeaee", model: .ssfmV30))
    .say("Hello<|5s|>Nice to meet you<|1s|>Today<|2s|>how does the weather feel?")
    .generate()

Multi-speaker composition

Use the composer chaining API when one output file needs different voices or per-segment options such as pitch, tempo, prompt, or seed. The composer generates each segment as WAV, trims leading/trailing silent PCM samples, and concatenates the result. If you need MP3, generate WAV first and convert it in your app or server pipeline.

let audio = try await client.composeSpeech()
    .defaults(ComposerSettings(voiceId: "tc_672c5f5ce59fac2a48faeaee", model: .ssfmV30))
    .say("Hello there")
    .pause(5)
    .say("Nice to meet you", overrides: ComposerSettings(
        voiceId: "tc_60e5426de8b95f1d3000d7b5",
        output: OutputSettings(audioPitch: 2)
    ))
    .say("Today")
    .pause(2)
    .say("How does the weather feel?")
    .generate()

try audio.audioData.write(to: URL(fileURLWithPath: "conversation.wav"))

Voice Discovery (V2 API)

List and filter available voices with enhanced metadata:

// Get all voices
let voices = try await client.getVoices()

// Filter by criteria
let filteredVoices = try await client.getVoices(filter: VoicesV2Filter(
    model: .ssfmV30,
    gender: .female,
    age: .youngAdult
))

// Get a specific voice
let voice = try await client.getVoice(voiceId: "tc_672c5f5ce59fac2a48faeaee")

// Display voice info
print("ID: \(voice.voiceId), Name: \(voice.voiceName)")
print("Gender: \(voice.gender?.rawValue ?? "N/A"), Age: \(voice.age?.rawValue ?? "N/A")")

for model in voice.models {
    print("Model: \(model.version.rawValue), Emotions: \(model.emotions.joined(separator: ", "))")
}

if let useCases = voice.useCases {
    print("Use cases: \(useCases.joined(separator: ", "))")
}

Multilingual Content

The SDK supports 37 languages with automatic language detection:

// Auto-detect language (recommended)
let request = TTSRequest(
    voiceId: "tc_672c5f5ce59fac2a48faeaee",
    text: "こんにちは。お元気ですか。",
    model: .ssfmV30
)

let response = try await client.textToSpeech(request)

// Or specify language explicitly
let koreanRequest = TTSRequest(
    voiceId: "tc_672c5f5ce59fac2a48faeaee",
    text: "안녕하세요. 반갑습니다.",
    model: .ssfmV30,
    language: .korean  // Explicit language code
)

let koreanResponse = try await client.textToSpeech(koreanRequest)

audioPlayer = try AVAudioPlayer(data: koreanResponse.audioData)
audioPlayer?.play()

Streaming

Stream audio chunks in real-time for low-latency playback:

import AVFoundation
import Typecast

let engine = AVAudioEngine()
let playerNode = AVAudioPlayerNode()
let format = AVAudioFormat(commonFormat: .pcmFormatInt16, sampleRate: 32000, channels: 1, interleaved: true)!

engine.attach(playerNode)
engine.connect(playerNode, to: engine.mainMixerNode, format: format)
try engine.start()
playerNode.play()

let stream = try await client.textToSpeechStream(request)
var first = true

for try await chunk in stream {
    var pcmData = chunk
    if first {
        pcmData = chunk.dropFirst(44)  // Skip 44-byte WAV header
        first = false
    }
    let buffer = AVAudioPCMBuffer(pcmFormat: format, frameCapacity: AVAudioFrameCount(pcmData.count / 2))!
    buffer.frameLength = buffer.frameCapacity
    pcmData.withUnsafeBytes { ptr in
        buffer.int16ChannelData!.pointee.update(from: ptr.bindMemory(to: Int16.self).baseAddress!, count: Int(buffer.frameLength))
    }
    playerNode.scheduleBuffer(buffer)
}

WAV streaming format: 32000 Hz, 16-bit, mono PCM. The first chunk includes a 44-byte WAV header (size = 0xFFFFFFFF); subsequent chunks are raw PCM only. For MP3: 320 kbps, 44100 Hz, each chunk is independently decodable. Use Typecast.OutputStream to avoid collision with Foundation.OutputStream.

Timestamp TTS

textToSpeechWithTimestamps() wraps POST /v1/text-to-speech/with-timestamps and returns the audio together with per-word and per-character alignment data — useful for karaoke highlights, subtitle generation, and lip-sync applications.

Basic Usage

import Typecast

let client = TypecastClient(apiKey: "YOUR_API_KEY")

let request = TTSRequestWithTimestamps(
    voiceId: "tc_60e5426de8b95f1d3000d7b5",
    text: "Hello. How are you?",
    model: .ssfmV30
)

let result = try await client.textToSpeechWithTimestamps(request)

audioPlayer = try AVAudioPlayer(data: result.audioData)
audioPlayer?.play()
print("Duration: \(result.audioDuration)s")

for word in result.words {
    print("  [\(word.startTime)s – \(word.endTime)s] \(word.text)")
}

Granularity

Pass granularity: .word (default) or granularity: .char to control the alignment unit.

let request = TTSRequestWithTimestamps(
    voiceId: "tc_60e5426de8b95f1d3000d7b5",
    text: "Hello. How are you?",
    model: .ssfmV30,
    granularity: .char  // required for Japanese / Chinese
)

Subtitle Export

let srt = result.toSrt()
print(srt)

let vtt = result.toVtt()
print(vtt)

Japanese / Chinese: Word-level segmentation is not meaningful for languages without whitespace delimiters (jpn, zho). Use .char granularity for these languages to get character-level alignment.

Instant Voice Cloning

Clone a custom voice from a short audio sample, then pass the returned uc_ voice ID directly to TTS.

import AVFoundation
import Foundation
import Typecast

let client = TypecastClient(apiKey: "YOUR_API_KEY")
var audioPlayer: AVAudioPlayer?
let audioData = try Data(contentsOf: URL(fileURLWithPath: "sample.wav"))

let voice = try await client.cloneVoice(
    audio: audioData,
    filename: "sample.wav",
    name: "My Voice",
    model: "ssfm-v30"
)

let response = try await client.speak(
    "Hello from my cloned voice!",
    voiceId: voice.voiceId
)

audioPlayer = try AVAudioPlayer(data: response.audioData)
audioPlayer?.play()
try await client.deleteVoice(voice.voiceId)

Voice cloning audio must be 25 MB or smaller, the audio duration must be 5-150 seconds, and the custom voice name must be 1-30 characters.

Supported Languages

The SDK supports 37 languages with automatic language detection:

Code	Language	Code	Language	Code	Language
`.english`	English	`.japanese`	Japanese	`.ukrainian`	Ukrainian
`.korean`	Korean	`.greek`	Greek	`.indonesian`	Indonesian
`.spanish`	Spanish	`.tamil`	Tamil	`.danish`	Danish
`.german`	German	`.tagalog`	Tagalog	`.swedish`	Swedish
`.french`	French	`.finnish`	Finnish	`.malay`	Malay
`.italian`	Italian	`.chinese`	Chinese	`.czech`	Czech
`.polish`	Polish	`.slovak`	Slovak	`.portuguese`	Portuguese
`.dutch`	Dutch	`.arabic`	Arabic	`.bulgarian`	Bulgarian
`.russian`	Russian	`.croatian`	Croatian	`.romanian`	Romanian
`.bengali`	Bengali	`.hindi`	Hindi	`.hungarian`	Hungarian
`.minNan`	Hokkien	`.norwegian`	Norwegian	`.punjabi`	Punjabi
`.thai`	Thai	`.turkish`	Turkish	`.vietnamese`	Vietnamese
`.cantonese`	Cantonese

If not specified, the language will be automatically detected from the input text.

Error Handling

The SDK provides a comprehensive TypecastError enum for handling API errors:

import Typecast

do {
    let response = try await client.textToSpeech(request)
} catch let error as TypecastError {
    switch error {
    case .unauthorized(let message):
        // 401: Invalid API key
        print("Invalid API key: \(message)")
    case .paymentRequired(let message):
        // 402: Insufficient credits
        print("Insufficient credits: \(message)")
    case .notFound(let message):
        // 404: Resource not found
        print("Voice not found: \(message)")
    case .validationError(let message):
        // 422: Validation error
        print("Validation error: \(message)")
    case .rateLimitExceeded(let message):
        // 429: Rate limit exceeded
        print("Rate limit exceeded: \(message)")
    case .serverError(let message):
        // 500: Server error
        print("Server error: \(message)")
    case .networkError(let underlyingError):
        // Network connectivity issues
        print("Network error: \(underlyingError.localizedDescription)")
    case .invalidResponse(let message):
        // Invalid response from server
        print("Invalid response: \(message)")
    default:
        print("Error: \(error.localizedDescription)")
    }
    
    // Access status code if available
    if let statusCode = error.statusCode {
        print("HTTP Status: \(statusCode)")
    }
}

Error Types

Error	Status Code	Description
`.badRequest`	400	Invalid request parameters
`.unauthorized`	401	Invalid or missing API key
`.paymentRequired`	402	Insufficient credits
`.notFound`	404	Resource not found
`.validationError`	422	Validation error
`.rateLimitExceeded`	429	Rate limit exceeded
`.serverError`	500	Server error
`.networkError`	-	Network connectivity issues
`.invalidResponse`	-	Invalid response from server

Platform-Specific Usage

iOS

import Typecast
import AVFoundation

class TTSManager {
    private let client = TypecastClient(apiKey: "YOUR_API_KEY")
    private var audioPlayer: AVAudioPlayer?
    
    func speak(_ text: String) async throws {
        let audio = try await client.speak(text, voiceId: "tc_672c5f5ce59fac2a48faeaee")
        
        // Play audio directly from data
        audioPlayer = try AVAudioPlayer(data: audio.audioData)
        audioPlayer?.play()
    }
}

macOS

import Typecast
import AppKit
import AVFoundation

class MacTTSManager {
    private let client = TypecastClient(apiKey: "YOUR_API_KEY")
    private var audioPlayer: AVAudioPlayer?
    
    func speak(_ text: String) async throws {
        let audio = try await client.speak(text, voiceId: "tc_672c5f5ce59fac2a48faeaee")
        
        audioPlayer = try AVAudioPlayer(data: audio.audioData)
        audioPlayer?.play()
    }
    
}

watchOS

import Typecast
import AVFoundation

class WatchTTSManager {
    private let client = TypecastClient(apiKey: "YOUR_API_KEY")
    private var audioPlayer: AVAudioPlayer?
    
    func speak(_ text: String) async throws {
        let audio = try await client.speak(text, voiceId: "tc_672c5f5ce59fac2a48faeaee")
        
        audioPlayer = try AVAudioPlayer(data: audio.audioData)
        audioPlayer?.play()
    }
}

API Reference

TypecastClient Methods

Method	Description
`textToSpeech(_:)`	Convert text to speech audio
`generateToFile(_:request:)`	Generate speech and save it directly to a local file
`speak(_:voiceId:model:)`	Simple TTS with minimal parameters
`speak(_:voiceId:model:emotion:intensity:)`	TTS with emotion preset
`cloneVoice(audio:filename:name:model:)`	Create a custom voice via instant cloning
`cloneVoice(audioFileURL:name:model:)`	Create a custom voice from a local audio file
`deleteVoice(_:)`	Delete a custom cloned voice
`getVoices(filter:)`	Get available voices with optional filter
`getVoice(voiceId:)`	Get a specific voice by ID

TTSRequest Fields

Field	Type	Required	Description
`voiceId`	`String`	✓	Voice ID (format: `tc_` or `uc_`)
`text`	`String`	✓	Text to synthesize (max 2000 chars)
`model`	`TTSModel`	✓	TTS model (`.ssfmV21` or `.ssfmV30`)
`language`	`LanguageCode`		Language code (auto-detected if omitted)
`prompt`	`TTSPrompt`		Emotion settings (`.basic`, `.preset`, or `.smart`)
`output`	`OutputSettings`		Audio output settings
`seed`	`UInt32`		Unsigned integer seed for reproducibility (≥ 0)

TTSResponse Fields

Field	Type	Description
`audioData`	`Data`	Generated audio data
`duration`	`TimeInterval`	Audio duration in seconds
`format`	`AudioFormat`	Audio format (`.wav` or `.mp3`)

GET STARTED

SDKs

INTEGRATIONS

Swift Package

Source Code

Requirements

Installation

Quick Start

Features

Voice Recommendations

Configuration

Advanced Usage

Emotion Control (ssfm-v30)

Audio Customization

Generate audio to a file

Text pauses

Multi-speaker composition

Voice Discovery (V2 API)

Multilingual Content

Streaming

Timestamp TTS

Basic Usage

Granularity

Subtitle Export

Instant Voice Cloning

Supported Languages

Error Handling

Error Types

Platform-Specific Usage

iOS

macOS

watchOS

API Reference

TypecastClient Methods

TTSRequest Fields

TTSResponse Fields

Swift Package

Source Code

​Requirements

​Installation

​Quick Start

​Features

​Voice Recommendations

​Configuration

​Advanced Usage

​Emotion Control (ssfm-v30)

​Audio Customization

​Generate audio to a file

​Text pauses

​Multi-speaker composition

​Voice Discovery (V2 API)

​Multilingual Content

​Streaming

​Timestamp TTS

​Basic Usage

​Granularity

​Subtitle Export

​Instant Voice Cloning

​Supported Languages

​Error Handling

​Error Types

​Platform-Specific Usage

​iOS

​macOS

​watchOS

​API Reference

​TypecastClient Methods

​TTSRequest Fields

​TTSResponse Fields

Requirements

Installation

Quick Start

Features

Voice Recommendations

Configuration

Advanced Usage

Emotion Control (ssfm-v30)

Audio Customization

Generate audio to a file

Text pauses

Multi-speaker composition

Voice Discovery (V2 API)

Multilingual Content

Streaming

Timestamp TTS

Basic Usage

Granularity

Subtitle Export

Instant Voice Cloning

Supported Languages

Error Handling

Error Types

Platform-Specific Usage

iOS

macOS

watchOS

API Reference

TypecastClient Methods

TTSRequest Fields

TTSResponse Fields