Free AI Text to Speech
31+ open-source models, 231+ voices, 34+ languages. No account required.
Everything You Need for Voice AI
30+ tools powered by open-source AI models
31+ AI Voice Models
The most comprehensive collection of open-source TTS models in one platform
Kokoro Free
Kokoro is an 82 million parameter text-to-speech model that punches well above its weight class. Despite its tiny size, it produces remarkably natural and expressive speech. Kokoro supports multiple languages including English, Japanese, Chinese, and Korean with a variety of expressive voices. It runs incredibly fast — generating audio nearly 100x faster than real-time on a GPU.
Best for: High-quality TTS with minimal latency, streaming applications
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Piper Free
Piper is a lightweight text-to-speech engine developed by Rhasspy that uses VITS and larynx architectures. It runs entirely on CPU, making it ideal for edge devices, home automation, and applications requiring offline TTS. With over 100 voices across 30+ languages, Piper delivers natural-sounding speech at real-time speeds even on a Raspberry Pi 4.
Best for: Quick previews, accessibility, and embedded applications
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VITS Free
VITS (Variational Inference with adversarial learning for end-to-end Text-to-Speech) is a parallel end-to-end TTS method that generates more natural sounding audio than current two-stage models. It adopts variational inference augmented with normalizing flows and an adversarial training process, achieving a significant improvement in naturalness.
Best for: General-purpose text-to-speech with natural prosody
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MeloTTS Free
MeloTTS by MyShell.ai is a multilingual TTS library supporting English (American, British, Indian, Australian), Spanish, French, Chinese, Japanese, and Korean. It is extremely fast, processing text at near real-time speed on CPU alone. MeloTTS is designed for production use and supports both CPU and GPU inference.
Best for: Production applications needing fast, multilingual TTS
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OuteTTS Free
OuteTTS extends large language models with text-to-speech capabilities while preserving the original architecture. It supports multiple backends including llama.cpp (CPU/GPU), Hugging Face Transformers, ExLlamaV2, VLLM, and even browser inference via Transformers.js. Features zero-shot voice cloning through speaker profiles saved as JSON.
Best for: Edge deployment, browser-based TTS, low-resource environments
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Pocket TTS Free
Pocket TTS by Kyutai (creators of Moshi) is a compact 100M parameter text-to-speech model that punches well above its weight. It runs efficiently on CPU, supports zero-shot voice cloning from a single audio sample, and produces natural-sounding speech. The small model size makes it ideal for edge deployment and low-resource environments.
Best for: Lightweight deployment, CPU-only environments, quick voice cloning
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Kitten TTS Free
Kitten TTS by KittenML is an ultra-lightweight text-to-speech model built on ONNX. With variants from 15M to 80M parameters (25-80 MB on disk), it delivers high-quality voice synthesis on CPU without requiring a GPU. Features 8 built-in voices, adjustable speech speed, and built-in text preprocessing for numbers, currencies, and units. Ideal for edge deployment and low-latency applications.
Best for: Fast lightweight TTS, edge deployment, low-latency applications
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Bark Standard
Transformer-based text-to-audio model that generates realistic speech, music, and sound effects.
Developer: Suno · License: MIT
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Bark Small Standard
Lighter version of Bark with faster inference and lower memory usage.
Developer: Suno · License: MIT
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CosyVoice 2 Standard
Alibaba's scalable streaming TTS with human-parity naturalness and near-zero latency.
Developer: Alibaba (Tongyi Lab) · License: Apache 2.0
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Dia TTS Standard
Multi-speaker dialog generation model that creates natural conversations between speakers.
Developer: Nari Labs · License: Apache 2.0
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Parler TTS Standard
Describe the voice you want in natural language and Parler generates matching speech.
Developer: Hugging Face · License: Apache 2.0
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GLM-TTS Standard
Achieves the lowest character error rate among open-source TTS models.
Developer: Zhipu AI · License: GLM-4 License
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IndexTTS-2 Standard
Zero-shot TTS with fine-grained emotion control and high expressiveness.
Developer: Index Team · License: Bilibili Model License
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Spark TTS Standard
Voice cloning TTS with controllable emotion and speaking style via prompts.
Developer: SparkAudio · License: CC BY-NC-SA 4.0
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GPT-SoVITS Standard
Few-shot voice cloning TTS that replicates any voice from just 5 seconds of audio.
Developer: RVC-Boss · License: MIT
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Orpheus Standard
Human-level emotional TTS model trained on 100K hours of speech data.
Developer: Canopy Labs · License: Llama 3.2 Community
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Qwen3 TTS Standard
Alibaba's multilingual TTS with voice cloning, preset voices, and voice design from text.
Developer: Alibaba (Qwen) · License: Apache 2.0
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Chatterbox Turbo Standard
Faster Chatterbox with sub-200ms latency and paralinguistic tags for laughs, coughs, and more.
Developer: Resemble AI · License: MIT
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Dia 2 Standard
Streaming-first conversational TTS with multi-speaker dialogue and paralinguistic cues.
Developer: Nari Labs · License: Apache 2.0
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VoxCPM Standard
Tokenizer-free TTS producing 44.1kHz audio with context-aware paragraph consistency.
Developer: OpenBMB · License: Apache 2.0
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TADA Standard
Zero-hallucination TTS with text-acoustic dual alignment, 5x faster than comparable LLM TTS.
Developer: Hume AI · License: MIT
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VibeVoice Standard
Microsoft's multi-speaker long-form TTS generating up to 90 minutes with 4 distinct speakers.
Developer: Microsoft · License: MIT
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CosyVoice3 Standard
Next-generation multilingual TTS with bi-streaming, emotion control, and zero-shot voice cloning.
Developer: Alibaba (FunAudioLLM) · License: Apache 2.0
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CosyVoice 2
Alibaba's scalable streaming TTS with human-parity naturalness and near-zero latency.
Languages: en, zh, ja, ko, fr, de, it, es
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GLM-TTS
Achieves the lowest character error rate among open-source TTS models.
Languages: en, zh
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IndexTTS-2
Zero-shot TTS with fine-grained emotion control and high expressiveness.
Languages: en, zh
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Spark TTS
Voice cloning TTS with controllable emotion and speaking style via prompts.
Languages: en, zh
Clone Voice
GPT-SoVITS
Few-shot voice cloning TTS that replicates any voice from just 5 seconds of audio.
Languages: en, zh, ja, ko
Clone Voice
Chatterbox
State-of-the-art zero-shot voice cloning with emotion control from Resemble AI.
Languages: en
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Tortoise TTS
Multi-voice text-to-speech focused on quality with autoregressive architecture.
Languages: en
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OpenVoice
Instant voice cloning with granular control over style, emotion, and accent.
Languages: en, zh, ja, ko, fr, de, es, it
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Qwen3 TTS
Alibaba's multilingual TTS with voice cloning, preset voices, and voice design from text.
Languages: en, zh, ja, ko, de, fr, ru, pt, es, it
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Chatterbox Turbo
Faster Chatterbox with sub-200ms latency and paralinguistic tags for laughs, coughs, and more.
Languages: en
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VoxCPM
Tokenizer-free TTS producing 44.1kHz audio with context-aware paragraph consistency.
Languages: en, zh
Clone Voice
OuteTTS
LLM-based TTS that runs on CPU, GPU, or browser via llama.cpp and Transformers.js.
Languages: en
Clone Voice
Pocket TTS
Lightweight 100M parameter model by Kyutai with voice cloning from a single sample.
Languages: en, fr
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CosyVoice3
Next-generation multilingual TTS with bi-streaming, emotion control, and zero-shot voice cloning.
Languages: en, zh, ja, ko, de, es, fr, it, ru
Clone Voice
MOSS-TTS
Ultra-long 20-language TTS supporting up to 1 hour of continuous generation with phoneme-level control.
Languages: en, zh, de, es, fr, ja, it, hu, ko, ru, fa, ar, pl, pt, cs, da, sv, el, tr
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MegaTTS3
ByteDance's sparse alignment TTS with adjustable intelligibility vs. speaker similarity.
Languages: en, zh
Clone VoiceDeveloper-First API
OpenAI-compatible REST API. One endpoint, 20+ models. Streaming support for real-time applications.
- OpenAI-compatible format
- Streaming TTS for real-time apps
- Batch processing for large jobs
- Webhook notifications
pip install ttsai
npm install @ttsainpm/ttsai
from tts_ai import TTSClient
client = TTSClient(api_key="sk-tts-xxx")
audio = client.generate(
text="Hello from TTS.ai!",
model="kokoro",
voice="af_bella",
)
client.save(audio, "output.mp3")
Simple, Transparent Pricing
Start free. Scale as you grow.
Free
15,000 characters
- Kokoro, Piper, VITS, MeloTTS
- 500 character limit
- 3 gen/hour (no account)
Starter
500,000 characters/month
- All 20+ models
- 100,000 chars per generation
- Voice Cloning
Pro
2,000,000 characters/month
- Everything in Starter
- API access
- Priority processing
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