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ScriptsMar 31, 2026·2 min de lecture

Kokoro — Lightweight 82M TTS in 9 Languages

Kokoro is an 82M parameter text-to-speech model delivering quality comparable to larger models. 6.2K+ GitHub stars. Supports English, Spanish, French, Japanese, Chinese, and more. Apache 2.0.

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Introduction

Kokoro is an open-weight text-to-speech model with just 82 million parameters that delivers quality comparable to much larger models while being faster and more cost-efficient. With 6,200+ GitHub stars and Apache 2.0 license, Kokoro supports 9 languages: American English, British English, Spanish, French, Italian, Hindi, Japanese, Brazilian Portuguese, and Mandarin Chinese. It features streaming audio generation, runs on CPU and Apple Silicon GPU, and uses the misaki library for grapheme-to-phoneme conversion.

Best for: Developers needing lightweight, high-quality TTS without large GPU requirements Works with: Claude Code, OpenAI Codex, Cursor, Gemini CLI, Windsurf Languages: English (US/UK), Spanish, French, Italian, Hindi, Japanese, Portuguese, Chinese

Key Features

  • 82M parameters: Lightweight yet high-quality speech synthesis
  • 9 languages: English, Spanish, French, Italian, Hindi, Japanese, Portuguese, Chinese
  • Apache 2.0 weights: Unrestricted commercial deployment
  • Streaming audio: Generator-based interface for real-time output
  • CPU + Apple Silicon: Runs efficiently without NVIDIA GPU
  • Multiple voices: Various speaker styles per language
  • Cost-efficient: Fraction of the compute cost of larger TTS models

FAQ

Q: What is Kokoro? A: Kokoro is an 82M parameter TTS model with 6.2K+ stars delivering quality comparable to larger models in 9 languages. Apache 2.0 licensed, runs on CPU and Apple Silicon.

Q: How do I install Kokoro? A: Run pip install kokoro. Use KPipeline(lang_code='a') for American English, then generate speech with the pipe() method.

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Source et remerciements

Created by Hexgrad. Licensed under Apache 2.0. hexgrad/kokoro — 6,200+ GitHub stars

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