TextToSpeechSkills
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For game creators

Create game voices without building an audio pipeline

Use TextToSpeechSkills for prototypes, indie games, internal playtests, and live content systems that need expressive speech. Save character voices as templates, add emotion with inline tags, and generate audio through the UI, API, or your LLM app.

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Who is this for?

TextToSpeechSkills helps game creators generate voice lines for NPC dialogue, tutorials, mission updates, prototype scripts, and dynamic character barks. Each character can use a reusable voice template, while expression tags add emotion and delivery notes such as urgency, fear, confidence, or surprise. Non-technical creators can connect an LLM app through MCP, ask it to draft lines, validate tags, check credit use, and create speech jobs. Developers can later move the same workflow into the game backend or tooling without changing the content model.

Easy LLM setup

LLM-ready even for non-technical teams

Ask an LLM to write NPC lines, then let the installed MCP tool validate tags, select a character template, check credit use, and create the audio job for you.

Read setup guide
01Create a scoped key
02Install MCP
03Choose a voice template
04Generate audio from chat

NPC dialogue and barks

Give each character a saved template and use expression tags for urgency, fear, confidence, or surprise.

Tutorials and mission updates

Turn onboarding steps, quest text, and live event updates into consistent narration without recording sessions.

Prototype faster with agents

Let an LLM generate draft lines and speech assets from one workflow, with account limits keeping experiments controlled.

When this helps

Game creators, indie teams, modders, and interactive fiction builders usually need a repeatable path for writing, review, generation, billing, and reuse. The most important jobs here are npc dialogue and barks, tutorials and mission updates, prototype faster with agents. Those are the moments where voice becomes part of real work instead of a one-off export.

How the workflow works

Start with readable text, add expression tags when tone matters, choose an approved voice template, and create a speech job through the UI, API, or MCP. The same pattern works for text-to-speech for games, NPC voice generator, game narration TTS, which makes it easier for humans and LLM apps to share one process without exposing internal routing or credentials.

Before you roll it out

Decide which templates are approved, which expression tags are allowed, who can create workspace keys, and which usage limits are acceptable. Those choices keep automated voice generation useful without letting it sprawl from the first paid Test plan through Pro, Scale, and Business usage.

Common questions

What teams usually ask before starting

These are the practical details that matter before a team adds speech generation to a real workflow.

Who should use Text-to-Speech for Games and Interactive Characters?

Game creators, indie teams, modders, and interactive fiction builders should use this page when they want generated speech that is easy to review, consistent across prompts, and simple to connect to LLM tools. The core workflow combines expression tags, voice templates, credit previews, and job-based generation.

Can a non-technical user connect this to an LLM app?

Ask an LLM to write NPC lines, then let the installed MCP tool validate tags, select a character template, check credit use, and create the audio job for you. The setup guide keeps the first path short while still giving developers a clean API when the workflow moves into a product backend.

How does pricing stay predictable?

Every paid plan uses credits. Teams can add credit packs when needed, and workspaces on Pro and higher add central billing for $2 per user per month.

Related reading

Keep exploring TextToSpeechSkills

Use these guides to move from a first audio test to a repeatable workflow for your team.

LLM Text-to-Speech Setup GuideA simple guide for connecting TextToSpeechSkills to LLM apps with MCP, scoped keys, voice templates, and expression tags.Text-to-Speech MCP for LLM AppsConnect LLM apps to expressive text-to-speech with MCP tools for tags, voice templates, credit previews, jobs, and audio URLs.Text-to-Speech Skills for LLM WorkflowsInstall text-to-speech skills that teach LLM apps how to use expression tags, saved voices, MCP tools, and speech jobs safely.TTS MCP ServerInstall an MCP server that lets LLM agents validate expression markup, check credit use, use voice templates, and create speech jobs.How to Add Text-to-Speech to an LLM AppA practical launch guide for adding text-to-speech to LLM apps with expression tags, voice templates, MCP setup, jobs, and team billing.Expression Tags for Better AI Voice OutputLearn how expression tags make text-to-speech scripts easier to review, automate, and reuse across LLM apps, creators, games, and support flows.

API playground

Plain JSON in, speech job out

{
  "text": "[quiet] hello. [loud and angry] how are you?",
  "voice_template": "vt_calm_narrator_v1",
  "generation_mode": "instant",
  "format": "mp3"
}
202 queued for polling200 audio ready

MCP install

Agent tools included at launch

Claude Desktoppnpm --package texttospeechskills dlx tts-skills-mcp
Codexpnpm --package texttospeechskills dlx tts-skills-mcp
Cursorpnpm --package texttospeechskills dlx tts-skills-mcp
Skills helperpnpm --package texttospeechskills dlx tts-skills tags