text-to-speech

> **Install the belt CLI skill:** `npx skills add belt-sh/cli` # Text-to-Speech Convert text to natural speech via [inference.sh](https://inference.sh) CLI.  ## Quick Start > Requires inference.sh CLI (`belt`). [Install instructions](https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md) ```bash 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 ```bash belt app list --category audio ``` ## Examples ### Basic Text-to-Speech ```bash 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: ```bash 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](https://platform.inworld.ai/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: ```bash # 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 ```bash 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) ```bash 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 ```bash 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: ```bash 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: ```bash # 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 ```bash # 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](https://inference.sh/docs/apps/running) - How to run apps via CLI - [Audio Transcription Example](https://inference.sh/docs/examples/audio-transcription) - Audio processing workflows - [Apps Overview](https://inference.sh/docs/apps/overview) - Understanding the app ecosystem