mcpField
T
text-to-speech

text-to-speech

github.com/heygen-comCreative & media5251.2k installsUpdated 15w ago
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About text-to-speech

A skill for generating standalone speech audio from text with HeyGen’s Starfish TTS model through the v3 API. It supports voice discovery and controls for SSML, speed, language, and locale.

Key features

  1. 01Find Starfish-compatible voices
  2. 02Generate audio from text or SSML
  3. 03Set speech speed, language, and locale
  4. 04Use word timestamps for synchronization
  5. 05Paginated voice discovery

Use cases

  1. 01Creating narration audio for a selected voice
  2. 02Generating speech with SSML pauses or markup
  3. 03Synchronizing captions using word timestamps

MCP support

When HeyGen MCP tools are available, the skill recommends them to list TTS voices and generate speech. Otherwise, it uses the HeyGen v3 HTTP API.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/heygen-com/skills --skill text-to-speech

After installing, type/text-to-speechin Claude Code to confirm it loaded.

Details

From the project README

Text-to-Speech (HeyGen Starfish)

Generate speech audio files from text using HeyGen's in-house Starfish TTS model via the v3 API. This skill is for standalone audio generation — separate from video creation.

Authentication

All requests require the X-Api-Key header. Set the HEYGEN_API_KEY environment variable.

curl -X GET "https://api.heygen.com/v3/voices?engine=starfish" \
  -H "X-Api-Key: $HEYGEN_API_KEY"

Tool Selection

If HeyGen MCP tools are available (mcp__heygen__*), prefer them over direct HTTP API calls.

TaskMCP ToolFallback (Direct API)
List TTS voicesmcp__heygen__list_audio_voicesGET /v3/voices?engine=starfish
Generate speech audiomcp__heygen__text_to_speechPOST /v3/voices/speech

Default Workflow

  1. List voices with mcp__heygen__list_audio_voices (or GET /v3/voices?engine=starfish)
  2. Pick a voice matching desired language, gender, and features
  3. Call mcp__heygen__text_to_speech (or POST /v3/voices/speech) with text and voice_id
  4. Use the returned audio_url to download or play the audio

List TTS Voices

Retrieve voices compatible with the Starfish TTS model.

Note: This uses the unified GET /v3/voices endpoint with the engine=starfish filter to return only TTS-compatible voices. Not all video voices support Starfish TTS. The response is paginated — use next_token to fetch additional pages.

Query Parameters
ParamTypeDescription
enginestringFilter by engine (use starfish for TTS voices)
typestringpublic or private
languagestringFilter by language
genderstringFilter by gender
limitintegerResults per page, 1-100
tokenstringPagination cursor from next_token
curl
curl -X GET "https://api.heygen.com/v3/voices?engine=starfish" \
  -H "X-Api-Key: $HEYGEN_API_KEY"
TypeScript
interface AudioVoiceItem {
  voice_id: string;
  name: string;
  language: string;
  gender: "female" | "male" | "unknown";
  preview_audio_url: string | null;
  support_pause: boolean;
  support_locale: boolean;
  type: string;
}

interface TTSVoicesResponse {
  error: null | string;
  data: AudioVoiceItem[];
  has_more: boolean;
  next_token: string | null;
}

async function listTTSVoices(): Promise<AudioVoiceItem[]> {
  const allVoices: AudioVoiceItem[] = [];
  let token: string | null = null;

  do {
    const url = new URL("https://api.heygen.com/v3/voices");
    url.searchParams.set("engine", "starfish");
    if (token) url.searchParams.set("token", token);

    const response = await fetch(url.toString(), {
      headers: { "X-Api-Key": process.env.HEYGEN_API_KEY! },
    });

    const json: TTSVoicesResponse = await response.json();

    if (json.error) {
      throw new Error(json.error);
    }

    allVoices.push(...json.data);
    token = json.next_token;
  } while (token);

  return allVoices;
}
Python
import requests
import os

def list_tts_voices() -> list:
    all_voices = []
    token = None

    while True:
        params = {"engine": "starfish"}
        if token:
            params["token"] = token

        response = requests.get(
            "https://api.heygen.com/v3/voices",
            headers={"X-Api-Key": os.environ["HEYGEN_API_KEY"]},
            params=params,
        )

        data = response.json()
        if data.get("error"):
            raise Exception(data["error"])

        all_voices.extend(data["data"])

        if not data.get("has_more"):
            break
        token = data.get("next_token")

    return all_voices
Response Format
{
  "error": null,
  "data": [
    {
      "voice_id": "f38a635bee7a4d1f9b0a654a31d050d2",
      "name": "Chill Brian",
      "language": "English",
      "gender": "male",
      "preview_audio_url": "https://resource.heygen.ai/text_to_speech/WpSDQvmLGXEqXZVZQiVeg6.mp3",
      "support_pause": true,
      "support_locale": false,
      "type": "public"
    }
  ],
  "has_more": false,
  "next_token": null
}

Generate Speech Audio

Convert text to speech audio using a specified voice.

Endpoint

POST https://api.heygen.com/v3/voices/speech

Request Fields
FieldTypeReqDescription
textstringYText content to convert (1-5000 characters)
voice_idstringYVoice ID from GET /v3/voices?engine=starfish
input_typestring"text" (default) or "ssml" for full SSML markup
speednumberSpeech speed, 0.5-2.0 (default: 1.0)
languagestringBase language code (e.g., "en", "pt"). Auto-detected if omitted
localestringBCP-47 locale for multilingual voices (e.g., "en-US", "pt-BR")
curl
curl -X POST "https://api.heygen.com/v3/voices/speech" \
  -H "X-Api-Key: $HEYGEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Hello! Welcome to our product demo.",
    "voice_id": "YOUR_VOICE_ID",
    "speed": 1.0
  }'
TypeScript
interface TTSRequest {
  text: string;
  voice_id: string;
  input_type?: "text" | "ssml";
  speed?: number;
  language?: string;
  locale?: string;
}

interface WordTimestamp {
  word: string;
  start: number;
  end: number;
}

interface TTSResponse {
  error: null | string;
  data: {
    audio_url: string;
    duration: number;
    request_id?: string;
    word_timestamps?: WordTimestamp[];
  };
}

async function textToSpeech(request: TTSRequest): Promise<TTSResponse["data"]> {
  const response = await fetch(
    "https://api.heygen.com/v3/voices/speech",
    {
      method: "POST",
      headers: {
        "X-Api-Key": process.env.HEYGEN_API_KEY!,
        "Content-Type": "application/json",
      },
      body: JSON.stringify(request),
    }
  );

  const json: TTSResponse = await response.json();

  if (json.error) {
    throw new Error(json.error);
  }

  return json.data;
}
Python
import requests
import os

def text_to_speech(
    text: str,
    voice_id: str,
    input_type: str = "text",
    speed: float = 1.0,
    language: str | None = None,
    locale: str | None = None,
) -> dict:
    payload = {
        "text": text,
        "voice_id": voice_id,
        "speed": speed,
    }

    if input_type != "text":
        payload["input_type"] = input_type

    if language:
        payload["language"] = language

    if locale:
        payload["locale"] = locale

    response = requests.post(
        "https://api.heygen.com/v3/voices/speech",
        headers={
            "X-Api-Key": os.environ["HEYGEN_API_KEY"],
            "Content-Type": "application/json",
        },
        json=payload,
    )

    data = response.json()
    if data.get("error"):
        raise Exception(data["error"])

    return data["data"]
Response Format
{
  "error": null,
  "data": {
    "audio_url": "https://resource2.heygen.ai/text_to_speech/.../id=365d46bb.wav",
    "duration": 5.526,
    "request_id": "p38QJ52hfgNlsYKZZmd9",
    "word_timestamps": [
      { "word": "<start>", "start": 0.0, "end": 0.0 },
      { "word": "Hey", "start": 0.079, "end": 0.219 },
      { "word": "there,", "start": 0.239, "end": 0.459 },
      { "word": "<end>", "start": 5.526, "end": 5.526 }
    ]
  }
}

Usage Examples

Basic TTS
const result = await textToSpeech({
  text: "Welcome to our quarterly earnings call.",
  voice_id: "YOUR_VOICE_ID",
});

console.log(`Audio URL: ${result.audio_url}`);
console.log(`Duration: ${result.duration}s`);
With Speed Adjustment
const result = await textToSpeech({
  text: "We're thrilled to announce our newest feature!",
  voice_id: "YOUR_VOICE_ID",
  speed: 1.1,
});
With Language and Locale for Multilingual Voices
const result = await textToSpeech({
  text: "Bem-vindo ao nosso produto.",
  voice_id: "MULTILINGUAL_VOICE_ID",
  language: "pt",
  locale: "pt-BR",
});
With SSML Input
const result = await textToSpeech({
  text: '<speak>Hello <break time="1s"/> and welcome!</speak>',
  voice_id: "YOUR_VOICE_ID",
  input_type: "ssml",
});
Find a Voice and Generate Audio
async function generateSpeech(text: string, language: string): Promise<string> {
  const voices = await listTTSVoices();
  const voice = voices.find(
    (v) => v.language.toLowerCase().includes(language.toLowerCase())
  );

  if (!voice) {
    throw new Error(`No TTS voice found for language: ${language}`);
  }

  const result = await textToSpeech({
    text,
    voice_id: voice.voice_id,
  });

  return result.audio_url;
}

const audioUrl = await generateSpeech("Hello and welcome!", "english");

Pauses with Break Tags

Use SSML-style break tags in your text for pauses:

word <break time="1s"/> word

Rules:

  • Use seconds with s suffix: <break time="1.5s"/>
  • Must have spaces before and after the tag
  • Self-closing tag format

With v3, you can also use input_type: "ssml" for full SSML support, allowing richer markup beyond just break tags:

{
  "text": "<speak>Welcome! <break time=\"1s\"/> Let's get started.</speak>",
  "voice_id": "YOUR_VOICE_ID",
  "input_type": "ssml"
}

Best Practices

  1. Use GET /v3/voices?engine=starfish to find compatible voices — the unified /v3/voices endpoint serves all voice types, so the engine=starfish filter is essential for TTS
  2. Check support_locale before setting a locale — only multilingual voices support locale selection
  3. Keep speed between 0.8-1.2 for natural-sounding output
  4. Preview voices using the preview_audio_url before generating (may be null for some voices)
  5. Use word_timestamps in the response for caption syncing or timed text overlays
  6. Use SSML break tags in your text for pauses: word <break time="1s"/> word
  7. Use input_type: "ssml" when you need full SSML markup control beyond simple break tags
  8. Paginate voice listing — the v3 endpoint returns paginated results; use has_more and next_token to fetch all voices

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