Compare AI voice and TTS models at a glance
Choosing a text-to-speech model means trading off naturalness, language coverage, latency, price, and whether you need voice cloning. This table puts the major voice APIs side by side — ElevenLabs, OpenAI TTS, Google Cloud, AWS Polly, Azure, and more — so you can pick the right model for narration, IVR, audiobooks, or a real-time voice agent.
How to read the table
- Naturalness is a 1–5 rating of how human the default voices sound.
- Languages is the approximate number of supported languages and locales.
- Cloning flags whether you can create a custom voice from a sample.
- Latency is rough first-audio latency for streaming use; lower is better for conversational agents.
- $/1M chars is a list-price estimate; high-volume tiers and free quotas vary.
Filter by cloning requirement and budget, search by model name, and click a column header to sort.
Tips for picking a voice model
- For expressive narration and audiobooks, ElevenLabs and OpenAI TTS deliver the most lifelike output.
- For high-volume IVR or notifications, Google Cloud and AWS Polly Neural cut cost dramatically with acceptable quality.
- For real-time voice agents, prioritise the low-latency streaming tiers (ElevenLabs Flash, OpenAI streaming) over the highest-quality voices.
- If you need a branded custom voice, only ElevenLabs and Azure Custom Neural Voice support it here — and Azure requires an ethics review.