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Video & Audio
Skill

/text-to-speech

Generate speech audio from text using HeyGen's Starfish TTS model. Use when: (1) Generating standalone speech audio files from text, (2) Converting text to speech with voice selection, speed, and pitch control, (3) Creating audio for voiceovers, narration, or podcasts, (4)

From plugin
openmontage
80k49 skills4 commands

Claude Code

$ npx -y skills add openmontageinc/openmontage --skill text-to-speech --agent claude-code

SKILL.md

text-to-speech.SKILL.md
name: text-to-speech
description: |
  Generate speech audio from text using HeyGen's Starfish TTS model. Use when: (1) Generating standalone speech audio files from text, (2) Converting text to speech with voice selection, speed, and pitch control, (3) Creating audio for voiceovers, narration, or podcasts, (4) Working with HeyGen's /v1/audio endpoints, (5) Listing available TTS voices by language or gender.
allowed-tools: mcp__heygen__*
metadata:
  openclaw:
    requires:
      env:
        - HEYGEN_API_KEY
    primaryEnv: HEYGEN_API_KEY

Text-to-Speech (HeyGen Starfish)

Generate speech audio files from text using HeyGen's in-house Starfish TTS model. 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/v1/audio/voices" \
  -H "X-Api-Key: $HEYGEN_API_KEY"

Tool Selection

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

| Task | MCP Tool | Fallback (Direct API) | |------|----------|----------------------| | List TTS voices | `mcp__heygen__list_audio_voices` | `GET /v1/audio/voices` | | Generate speech audio | `mcp__heygen__text_to_speech` | `POST /v1/audio/text_to_speech` |

Default Workflow

1. List voices with `mcp__heygen__list_audio_voices` (or `GET /v1/audio/voices`) 2. Pick a voice matching desired language, gender, and features 3. Call `mcp__heygen__text_to_speech` (or `POST /v1/audio/text_to_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 `GET /v1/audio/voices` — a different endpoint from the video voices API (`GET /v2/voices`). Not all video voices support Starfish TTS.

curl

curl -X GET "https://api.heygen.com/v1/audio/voices" \
  -H "X-Api-Key: $HEYGEN_API_KEY"

TypeScript

interface TTSVoice {
  voice_id: string;
  language: string;
  gender: "female" | "male" | "unknown";
  name: string;
  preview_audio_url: string | null;
  support_pause: boolean;
  support_locale: boolean;
  type: string;
}

interface TTSVoicesResponse {
  error: null | string;
  data: {
    voices: TTSVoice[];
  };
}

async function listTTSVoices(): Promise<TTSVoice[]> {
  const response = await fetch("https://api.heygen.com/v1/audio/voices", {
    headers: { "X-Api-Key": process.env.HEYGEN_API_KEY! },
  });

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

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

  return json.data.voices;
}

Python

import requests
import os

def list_tts_voices() -> list:
    response = requests.get(
        "https://api.heygen.com/v1/audio/voices",
        headers={"X-Api-Key": os.environ["HEYGEN_API_KEY"]}
    )

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

    return data["data"]["voices"]

Response Format

{
  "error": null,
  "data": {
    "voices": [
      {
        "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"
      }
    ]
  }
}

Generate Speech Audio

Convert text to speech audio using a specified voice.

Endpoint

`POST https://api.heygen.com/v1/audio/text_to_speech`

Request Fields

| Field | Type | Req | Description | |-------|------|:---:|-------------| | `text` | string | Y | Text content to convert to speech | | `voice_id` | string | Y | Voice ID from `GET /v1/audio/voices` | | `speed` | number | | Speech speed, 0.5-1.5 (default: 1) | | `pitch` | integer | | Voice pitch, -50 to 50 (default: 0) | | `locale` | string | | Accent/locale for multilingual voices (e.g., `en-US`, `pt-BR`) | | `elevenlabs_settings` | object | | Advanced settings for ElevenLabs voices |

ElevenLabs Settings (optional)

| Field | Type | Description | |-------|------|-------------| | `model` | string | Model selection (`eleven_v3`, `eleven_turbo_v2_5`, etc.) | | `similarity_boost` | number | Voice similarity, 0.0-1.0 | | `stability` | number | Output consistency, 0.0-1.0 | | `style` | number | Style intensity, 0.0-1.0 |

curl

curl -X POST "https://api.heygen.com/v1/audio/text_to_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;
  speed?: number;
  pitch?: number;
  locale?: string;
  elevenlabs_settings?: {
    model?: string;
    similarity_boost?: number;
    stability?: number;
    style?: number;
  };
}

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/v1/audio/text_to_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,
    speed: float = 1.0,
    pitch: int = 0,
    locale: str | None = None,
) -
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Questions about text-to-speech.

Which coding agents can use text-to-speech?
text-to-speech installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.