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Kitten TTS tutorial: add local text to speech to a Python app

Install kittenml, load Kitten-TTS 2 and write speech to a WAV file with a preset voice.

  • Top pick
  • Content
  • Intermediate
  • 15 minutes
  • From the README
  • Any agent

Who it is forA developer building a voice assistant prototype on a laptop without a GPU.

The problemCloud TTS adds latency, cost and a dependency.

The outcomeWAV files generated locally from text with a chosen voice.

What you need first

  • Python with pip
  • A CPU is enough for the lightweight models; Kitten-TTS 2 runs realtime on CPUs and consumer GPUs per the README

Steps

  1. Install with pip install kittenml
  2. Load the model with Kitten TTS("KittenML/kitten-tts-2")
  3. Call generate with your text and a voice such as WeatherPresenterCheerful
  4. Write the audio with soundfile at m.sample_rate

Prompt for your agent

Using KittenML/KittenTTS, install kittenml, generate <text> with voice "Matthew" and save output.wav. Confirm the file plays and its sample rate equals m.sample_rate.

Caveat. Use weights="emb4" to halve the download if bandwidth or disk is tight.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for KittenML/KittenTTS and "Add natural speech to a Python app in a few lines"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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