Agent skill

text-to-speech

Convert text to natural speech with ElevenLabs, DIA TTS, Kokoro, Chatterbox, and more via inference.sh CLI. Models: 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. Use for: voiceovers, audiobooks, podcasts, accessibility, video narration, IVR, voice assistants. 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

Stars 247
Forks 46

Install this agent skill to your Project

npx add-skill https://github.com/inference-sh/skills/tree/main/tools/audio/text-to-speech

SKILL.md

Text-to-Speech

Convert text to natural speech via inference.sh CLI.

Text-to-Speech

Quick Start

Requires inference.sh CLI (infsh). Install instructions

bash
infsh login

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

Available Models

Model App ID Best For
ElevenLabs TTS elevenlabs/tts Premium quality, 22+ voices, 32 languages
DIA TTS infsh/dia-tts Conversational, expressive
Kokoro TTS infsh/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
infsh app list --category audio

Examples

Basic Text-to-Speech

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

Conversational TTS with DIA

bash
infsh 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"
# }

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

Long-form Audio (Podcasts)

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

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

Expressive Speech with Higgs

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

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

infsh 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

Combine with Video

Generate speech, then create a talking head video:

bash
# 1. Generate speech
infsh app run infsh/kokoro-tts --input '{"text": "Your script here"}' > speech.json

# 2. Use the audio URL with OmniHuman for avatar video
infsh app run bytedance/omnihuman-1-5 --input '{
  "image_url": "https://portrait.jpg",
  "audio_url": "<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 150+ 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: infsh app list

Documentation

Expand your agent's capabilities with these related and highly-rated skills.

inference-sh/skills

agent-ui

Batteries-included agent component for React/Next.js from ui.inference.sh. One component with runtime, tools, streaming, approvals, and widgets built in. Capabilities: drop-in agent, human-in-the-loop, client-side tools, form filling. Use for: building AI chat interfaces, agentic UIs, SaaS copilots, assistants. Triggers: agent component, agent ui, chat agent, shadcn agent, react agent, agentic ui, ai assistant ui, copilot ui, inference ui, human in the loop

247 46
Explore
inference-sh/skills

chat-ui

Chat UI building blocks for React/Next.js from ui.inference.sh. Components: container, messages, input, typing indicators, avatars. Capabilities: chat interfaces, message lists, input handling, streaming. Use for: building custom chat UIs, messaging interfaces, AI assistants. Triggers: chat ui, chat component, message list, chat input, shadcn chat, react chat, chat interface, messaging ui, conversation ui, chat building blocks

247 46
Explore
inference-sh/skills

tools-ui

Tool lifecycle UI components for React/Next.js from ui.inference.sh. Display tool calls: pending, progress, approval required, results. Capabilities: tool status, progress indicators, approval flows, results display. Use for: showing agent tool calls, human-in-the-loop approvals, tool output. Triggers: tool ui, tool calls, tool status, tool approval, tool results, agent tools, mcp tools ui, function calling ui, tool lifecycle, tool pending

247 46
Explore
inference-sh/skills

widgets-ui

Declarative UI widgets from JSON for React/Next.js from ui.inference.sh. Render rich interactive UIs from structured agent responses. Capabilities: forms, buttons, cards, layouts, inputs, selects, checkboxes. Use for: agent-generated UIs, dynamic forms, data display, interactive cards. Triggers: widgets, declarative ui, json ui, widget renderer, agent widgets, dynamic ui, form widgets, card widgets, shadcn widgets, structured output ui

247 46
Explore
inference-sh/skills

web-search

Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative

247 46
Explore
inference-sh/skills

ai-rag-pipeline

Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. Tools: Tavily Search, Exa Search, Exa Answer, Claude, GPT-4, Gemini via OpenRouter. Capabilities: research, fact-checking, grounded responses, knowledge retrieval. Use for: AI agents, research assistants, fact-checkers, knowledge bases. Triggers: rag, retrieval augmented generation, grounded ai, search and answer, research agent, fact checking, knowledge retrieval, ai research, search + llm, web grounded, perplexity alternative, ai with sources, citation, research pipeline

247 46
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results