# inworld-tts

> inworld-tts — gugic-inworld-tts. Use this tool when you need to convert written text into spoken words, enabling voice interactions and audio outputs. It solves problems such as generating voiceovers, creating audiobooks, or providing accessibility features for visually impaired users. The inworld-tts tool takes text input and produces audio output via the Inworld.ai API.

Canonical page: https://skillsregistry.net/skills/gugic-inworld-tts  
JSON: https://api.skillsregistry.net/v1/skills/gugic-inworld-tts

## Description

Text-to-speech via Inworld.ai API.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/gugic-inworld-tts)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gugic-inworld-tts"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gugic-inworld-tts` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gugic-inworld-tts/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt