MCPInstall

text-to-speech

Convert text to natural speech with Inworld TTS, ElevenLabs, DIA TTS, Kokoro, Chatterbox, and more via inference.sh CLI. Models: Inworld TTS-2 (100+ languages, emotion steering), Inworld TTS 1.5 (ultra-low latency), ElevenLabs (premium, 22+ voices, 32 languages), DIA TTS (conversational), Kokoro TTS, Chatterbox, Higgs Audio, VibeVoice (podcasts). Capabilities: text-to-speech, voice cloning, multi-speaker dialogue, podcast generation, expressive speech, emotion/delivery steering, character voices. Use for: voiceovers, audiobooks, podcasts, accessibility, video narration, IVR, voice assistants, gaming characters, avatar audio. Triggers: text to speech, tts, voice generation, ai voice, speech synthesis, voice over, generate speech, ai narrator, voice cloning, text to audio, elevenlabs, eleven labs, voice ai, ai voiceover, speech generator, natural voice, inworld, inworld tts, character voice, game voice, npc voice

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/qu-skills/superpowers --skill text-to-speech
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads text-to-speech automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Install the belt CLI skill: npx skills add belt-sh/cli

Text-to-Speech

Convert text to natural speech via inference.sh CLI.

Text-to-Speech

Quick Start

Requires inference.sh CLI (belt). Install instructions

belt login

# Generate speech
belt app run infsh/kokoro-tts --input '{"text": "Hello, welcome to our product demo."}'

Available Models

ModelApp IDBest For
Inworld TTS-2inworld/text-to-speech-2100+ languages, emotion steering with [brackets], delivery modes
Inworld TTS 1.5 Maxinworld/text-to-speech-1-5-maxLow latency (<200ms), 15 languages
Inworld TTS 1.5 Miniinworld/text-to-speech-1-5-miniUltra-low latency (~120ms), 15 languages
ElevenLabs TTSelevenlabs/ttsPremium quality, 22+ voices, 32 languages
DIA TTSinfsh/dia-ttsConversational, expressive
Kokoro TTSinfsh/kokoro-ttsFast, natural
Chatterboxinfsh/chatterboxGeneral purpose
Higgs Audioinfsh/higgs-audioEmotional control
VibeVoiceinfsh/vibevoicePodcasts, long-form

Browse All Audio Apps

belt app list --category audio

Examples

Basic Text-to-Speech

belt app run infsh/kokoro-tts --input '{"text": "Welcome to our tutorial."}'

Inworld TTS-2 — Emotion Steering

Inworld TTS-2 supports natural-language steering with [brackets] — control emotion, volume, speed, and non-verbals inline with text:

belt app run inworld/text-to-speech-2 --input '{
  "text": "I have some [exciting] news to share with you! [pause] We just hit one million users. [laugh]",
  "voice_id": "Sarah",
  "delivery_mode": "CREATIVE"
}'

Delivery modes: STABLE (consistent), BALANCED (natural, default), CREATIVE (expressive).

Built-in voices (271+ across 15 languages): Sarah, Alex, Ashley, Dennis, Hana, Blake, Luna, Clive, and many more. Browse all voices in the Inworld TTS Playground or list programmatically via GET https://api.inworld.ai/voices/v1/voices.

Inworld TTS 1.5 — Low Latency

For real-time applications where speed matters:

# Max quality at low latency (<200ms)
belt app run inworld/text-to-speech-1-5-max --input '{
  "text": "Welcome back! How can I help you today?",
  "voice_id": "Ashley"
}'

# Ultra-low latency (~120ms) for conversational AI
belt app run inworld/text-to-speech-1-5-mini --input '{
  "text": "Sure, let me look that up for you.",
  "voice_id": "Dennis"
}'

Conversational TTS with DIA

belt app sample infsh/dia-tts --save input.json

# Edit input.json:
# {
#   "text": "Hey! How are you doing today? I'm really excited to share this with you.",
#   "voice": "conversational"
# }

belt app run infsh/dia-tts --input input.json

Long-form Audio (Podcasts)

belt app sample infsh/vibevoice --save input.json

# Edit input.json with your podcast script
belt app run infsh/vibevoice --input input.json

Expressive Speech with Higgs

belt app sample infsh/higgs-audio --save input.json

# {
#   "text": "This is absolutely incredible!",
#   "emotion": "excited"
# }

belt app run infsh/higgs-audio --input input.json

Use Cases

  • Voiceovers: Product demos, explainer videos
  • Audiobooks: Convert text to spoken word
  • Podcasts: Generate podcast episodes
  • Accessibility: Make content accessible
  • IVR: Phone system voice prompts
  • Video Narration: Add narration to videos
  • Gaming / NPCs: Character voices with emotion steering (Inworld TTS-2)
  • Conversational AI: Ultra-low latency responses (Inworld TTS 1.5 Mini)
  • Avatar / UGC Videos: Generate speech for talking head avatars

Combine with Video

The easiest way to create a talking head video is P-Video-Avatar with built-in TTS — no separate audio step:

belt app run pruna/p-video-avatar --input '{
  "image": "https://portrait.jpg",
  "voice_script": "Your script here",
  "voice": "Zephyr (Female)"
}'

For models without built-in TTS (OmniHuman, PixVerse), generate speech first:

# 1. Generate speech with Inworld TTS-2 (emotion steering)
belt app run inworld/text-to-speech-2 --input '{
  "text": "[friendly] Your script here. [excited] This is the best part!",
  "voice_id": "Sarah",
  "delivery_mode": "CREATIVE"
}' > speech.json

# 2. Use the audio URL with OmniHuman for avatar video
belt app run bytedance/omnihuman-1-5 --input '{
  "image_url": "https://portrait.jpg",
  "audio_url": "<audio-url-from-step-1>"
}'

Related Skills

# ElevenLabs TTS (premium, 22+ voices)
npx skills add inference-sh/skills@elevenlabs-tts

# ElevenLabs dialogue (multi-speaker)
npx skills add inference-sh/skills@elevenlabs-dialogue

# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli

# AI avatars (combine TTS with talking heads)
npx skills add inference-sh/skills@ai-avatar-video

# AI music generation
npx skills add inference-sh/skills@ai-music-generation

# Speech-to-text (transcription)
npx skills add inference-sh/skills@speech-to-text

# Video generation
npx skills add inference-sh/skills@ai-video-generation

Browse all apps: belt app list

Documentation

FAQ

What does the text-to-speech skill do?

Convert text to natural speech with Inworld TTS, ElevenLabs, DIA TTS, Kokoro, Chatterbox, and more via inference.sh CLI. Models: Inworld TTS-2 (100+ languages, emotion steering), Inworld TTS 1.5 (ultra-low latency), ElevenLabs (premium, 22+ voices, 32 languages), DIA TTS (conversational), Kokoro TTS, Chatterbox, Higgs Audio, VibeVoice (podcasts). Capabilities: text-to-speech, voice cloning, multi-speaker dialogue, podcast generation, expressive speech, emotion/delivery steering, character voices. Use for: voiceovers, audiobooks, podcasts, accessibility, video narration, IVR, voice assistants, gaming characters, avatar audio. Triggers: text to speech, tts, voice generation, ai voice, speech synthesis, voice over, generate speech, ai narrator, voice cloning, text to audio, elevenlabs, eleven labs, voice ai, ai voiceover, speech generator, natural voice, inworld, inworld tts, character voice, game voice, npc voice

How do I install text-to-speech?

Run npx skills add https://github.com/qu-skills/superpowers --skill text-to-speech in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/text-to-speech/ (personal) or .claude/skills/text-to-speech/ (project).

Which AI agents can use text-to-speech?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is text-to-speech safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains text-to-speech?

It is published by qu-skills in qu-skills/superpowers. It has 41 recorded installs.

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