index-tts/index-tts Alternatives

choose for a mature MIT-licensed few-shot voice cloning TTS with a large community.

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

choose for Apache-2.0 full-stack multilingual TTS with training support.

Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

choose for Apache-2.0 streaming TTS with free-form voice design.

Qwen3-TTS is an open-source series of TTS models developed by the Qwen team at Alibaba Cloud, supporting stable, expressive, and streaming speech generation, free-form voice design, and vivid voice cloning.

choose for an Apache-2.0 zero-shot TTS with a compact inference codebase.

Spark-TTS Inference Code

choose for voice cloning across 600+ languages.

High-Quality Voice Cloning TTS for 600+ Languages

choose for an open-weight TTS with top-tier expressiveness.

Zonos-v0.1 is a leading open-weight text-to-speech model trained on more than 200k hours of varied multilingual speech, delivering expressiveness and quality on par with—or even surpassing—top TTS providers.

choose for ultra-fast voice cloning with claimed 150x realtime speed.

A high-quality rapid TTS voice cloning model that reaches speeds of 150x realtime.

choose for a family of speech generation models with Apache-2.0.

An open-source model family for long-form speech, dialogue synthesis, voice design, sound effects, and real-time streaming TTS

choose for controllable TTS supporting over 7000 languages.

Controllable and fast Text-to-Speech for over 7000 languages!

choose for tokenizer-free multilingual TTS with cloning and creative voice design.

VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning

choose for a zero-shot TTS engine from Youdao with multilingual support.

Confucius4-TTS: a Multilingual and Cross-Lingual Zero-Shot TTS Engine

choose for MIT-licensed instant voice cloning with cross-lingual support.

Instant voice cloning by MIT and MyShell. Audio foundation model.

choose for a foundational expressive TTS model with Apache-2.0.

Foundational model for human-like, expressive TTS

choose for zero-shot TTS combined with audio emotion/style editing.

A powerful 3B-parameter, LLM-based Reinforcement Learning audio edit model excels at editing emotion, speaking style, and paralinguistics, and features robust zero-shot text-to-speech

choose for zero-shot TTS and speech editing in the wild.

Zero-Shot Speech Editing and Text-to-Speech in the Wild

choose for Apple Silicon-optimized TTS/STT/STS via MLX, rather than a standalone model.

A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.

choose for a TTS built by inverting Whisper, a unique architecture.

An Open Source text-to-speech system built by inverting Whisper.

choose for a comprehensive speech AI framework instead of a single TTS model.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

choose only for historical reference to VALL-E; it is archived and unmaintained.

An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io/vallex/

choose when you need a ready-to-deploy OpenAI-compatible TTS server.

Dockerized OpenAI-compatible wrapper for Kokoro-82M text-to-speech w/multiplatform CPU, AMD, NVIDIA GPU PyTorch; multi-speaker, clone-tuning, caption timestamps, SSML, optional readalong web UI

choose for an interactive Japanese TTS web app, not a library.

An interactive Japanese text analysis and speech synthesis web app