Coqui TTS

// Overview

Coqui TTS is a Python library for generating speech from text. It ships a collection of pretrained models, including XTTS v2, an end-to-end model that clones a voice from a short audio clip and speaks in 16 languages. You can run it from a Python script or the command line.

It is aimed at developers and researchers who want to add speech synthesis to their own projects, or who need to train and fine-tune their own voice models. Alongside inference, it includes tools for model training, dataset analysis, and dataset curation.

Within the speech and audio space, it sits among local, self-hosted TTS options. You download the models and run them on your own machine (CPU or GPU), so audio never has to leave your environment.

// What it does

• Pretrained text-to-speech models covering a large range of languages, downloadable and runnable locally
• XTTS v2 end-to-end model for voice cloning from a short reference clip, with streaming support at under 200ms latency
• Many model families included: Tacotron/Tacotron2, Glow-TTS, VITS, YourTTS, plus Tortoise and Bark for inference
• Python API and a `tts` command-line tool for synthesis
• Training and fine-tuning support through a Trainer API, with terminal and TensorBoard logs
• Utilities for multi-speaker TTS, speaker embeddings, and dataset curation

// Getting started

Install the package from PyPI, then synthesize speech from Python or the command line.

pip install TTS

import torch
from TTS.api import TTS

device = "cuda" if torch.cuda.is_available() else "cpu"
tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2").to(device)
tts.tts_to_file(text="Hello world!", speaker_wav="my/cloning/audio.wav", language="en", file_path="output.wav")

tts --list_models
tts --text "Text for TTS" --out_path output/path/speech.wav

Commands and code are distilled from the project's own documentation — always check the official repo for the latest.

// When to use it

• Clone a voice from a short clip and have it read text aloud in another language
• Add offline, self-hosted text-to-speech to an app so audio stays on your own machine
• Fine-tune or train a custom voice model on your own dataset
• Generate voiceovers or narration for videos, demos, and accessibility tooling

// How Coqui TTS compares

Coqui TTS alongside other open-source audio, music & voice tools AI/TLDR tracks, ranked by GitHub stars.