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Tortoise TTS

High-quality multi-voice text-to-speech with emphasis on natural prosody, emotion, and voice variety

★ 14,865 GitHub Apache-2.0 text-to-speechttsvoice-cloningaudiodiffusionneural-tts Image & Video

Overview

Tortoise TTS is a high-quality text-to-speech system built with a focus on natural-sounding speech with rich prosody, emotional expression, and voice variety. Unlike many TTS engines that sound robotic, Tortoise uses a diffusion-based approach to generate speech that captures nuance, rhythm, and intonation. It supports multiple preset voices out of the box and allows voice cloning from short audio samples. The system is designed for quality over speed — it's slower than real-time but produces some of the most natural-sounding open-source TTS available. Key features include: multi-voice support with 10+ built-in presets, voice cloning from 10+ seconds of audio, emotional range control, strong autoregressive decoder with CLIP latents, and Python API for integration into larger applications.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  tortoise-tts:
    image: chriscn/tortoise:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/tortoise-tts:/data

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Guides & articles

Tortoise TTS Tutorial — Install, Docker Deploy, and Voice Cloning Guide

Complete step-by-step guide to installing Tortoise TTS, deploying with Docker, cloning voices, and real performance benchmarks.

Jun 30, 2026

Tortoise TTS Guide — The Most Natural Open-Source Speech Generator Tested

I tested Tortoise TTS for a week — the Apache-2.0 diffusion-based TTS known for the most natural-sounding open-source speech. Honest review, benchmarks, and Docker setup.

Jun 30, 2026