TextToSpeechSkills
Start test plan

For learning products

Turn lessons, guides, and training content into clear narration

Use TextToSpeechSkills to create consistent educational audio for modules, onboarding paths, product academies, and internal training. Templates keep the instructor voice steady while expression tags add emphasis where learners need it.

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Who is this for?

TextToSpeechSkills helps learning teams create narration for lessons, training modules, product academies, onboarding paths, and accessibility audio. A course can keep one instructor voice through reusable templates, while expression tags add emphasis and pacing where learners need it. Non-technical course builders can ask an LLM app to adapt lesson text for speech, validate the tags, and generate audio through MCP. Developers can use the same templates and job API when the workflow becomes part of a learning platform.

Easy LLM setup

LLM-ready even for non-technical teams

Non-technical course builders can ask an LLM to adapt lesson text for audio, validate the expression tags, and generate speech through the MCP tool.

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

Reusable instructor voices

Keep one recognizable instructor style across lessons, quizzes, walkthroughs, and updates.

Readable lesson scripts

Expression tags add audio direction without making source material difficult to edit.

Accessible by default

Generate audio versions of learning content and store usage records for operations teams.

When this helps

Course creators, learning platforms, internal training teams, and product educators usually need a repeatable path for writing, review, generation, billing, and reuse. The most important jobs here are reusable instructor voices, readable lesson scripts, accessible by default. 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 e-learning text-to-speech, course narration TTS, training audio API, 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 E-Learning and Course Narration?

Course creators, learning platforms, internal training teams, and product educators 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?

Non-technical course builders can ask an LLM to adapt lesson text for audio, validate the expression tags, and generate speech through the MCP tool. 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