---name: text-to-speechdescription: 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 voiceallowed-tools: Bash(belt *)---

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

Text-to-Speech

Convert text to natural speech via inference.sh CLI.

Quick Start

Requires inference.sh CLI (belt). Install instructions

belt login

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

Available Models

Model	App ID	Best For
Inworld TTS-2	inworld/text-to-speech-2	100+ languages, emotion steering with [brackets], delivery modes
Inworld TTS 1.5 Max	inworld/text-to-speech-1-5-max	Low latency (<200ms), 15 languages
Inworld TTS 1.5 Mini	inworld/text-to-speech-1-5-mini	Ultra-low latency (~120ms), 15 languages
ElevenLabs TTS	elevenlabs/tts	Premium quality, 22+ voices, 32 languages
DIA TTS	infsh/dia-tts	Conversational, expressive
Kokoro TTS	falai/kokoro-tts	Fast, natural
Chatterbox	infsh/chatterbox	General purpose
Higgs Audio	infsh/higgs-audio	Emotional control
VibeVoice	infsh/vibevoice	Podcasts, long-form

Browse All Audio Apps

belt app list --category audio

Examples

Basic Text-to-Speech

belt app run falai/kokoro-tts --input '{"prompt": "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": "https://portrait.jpg",
  "audio": "<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

• Running Apps - How to run apps via CLI
• Audio Transcription Example - Audio processing workflows
• Apps Overview - Understanding the app ecosystem