TextToSpeechSkills blog

Guides for launching voice in LLM apps

Practical writing, setup, and product guides for teams adding expressive speech to apps, videos, games, support flows, and learning products.

Practical guides for adding speech to real workflows

The TextToSpeechSkills blog is for creators, developers, and teams who want voice output that can move from a first test into a repeatable product workflow. It focuses on the details that matter after the first demo: how scripts are prepared, how LLM apps should use MCP tools, how templates keep voices stable, and how billing controls keep automated generation predictable.

Start with the setup path

The strongest speech workflow starts with one clear route from account creation to the first usable audio file. These guides explain how to choose a saved voice, add readable expression tags, connect an LLM app through MCP, and keep generation behind jobs that can be polled or delivered when the audio is ready.

Make content easier to review

Generated voice works better when writers, developers, and LLM apps share the same language. Expression tags keep tone beside the sentence that needs it, while voice templates keep the narrator, character, instructor, or support voice consistent across many prompts.

Plan for teams and billing early

Automated speech can grow quickly once it becomes useful. The blog covers paid test usage, workspace billing, scoped keys, and the operational decisions that help teams launch voice without opening broad access or confusing billing.

Launch reading

Start with these guides

Deep dives for setting up speech workflows, expression tags, reusable voices, and team rollout.