Cartesia vs Hume AI
A side-by-side comparison of Cartesia and Hume AI, two Voice tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Cartesia | Hume AI |
|---|---|---|
| Category | Voice | Voice |
| Pricing | FREEMIUM | FREEMIUM |
| License | Proprietary | Proprietary |
| Deployment | Cloud | Cloud |
| Platforms (differs) | API | Web, API |
| Model support (differs) | Single model (proprietary) | Multi-model |
| Vendor (differs) | Cartesia | Hume AI |
| Capabilities (differs) |
|
|
The honest brief
Cartesia
State-space Sonic models hit sub-100ms first audio — the latency floor for real-time voice agent loops.
- Streaming over WebSocket for fast first audio
- State-space architecture, not transformer
- Streaming-first WebSocket protocol depth
- Cost-competitive at scale
- Long-form expressive texture trails ElevenLabs
- Fewer voices than ElevenLabs catalog
- API-only, no end-user app
Hume AI
EVI reads prosody and emotion in the user's voice — not just words — and tunes its own tone and timing in reply.
- Emotion/prosody-aware voice interface
- Speech-to-speech, low-latency replies
- Pairs with a configurable LLM
- Research-grade emotion models
- Emotion inference accuracy is contested
- Narrower than full TTS/STT suites
- Usage-metered pricing
- Smaller ecosystem than ElevenLabs
When to pick which
Both cover Voice agent, Speech synthesis (TTS), and Voice cloning.
Pick Cartesia if you need Transcription (STT).
- Transcription (STT) (secondary capability)
They share capabilities, but each leads with different ones as a headline job:
Cartesia is built around Speech synthesis (TTS).
- Speech synthesis (TTS) (primary capability)
Hume AI is built around Voice agent.
- Voice agent (primary capability)
They also differ on:
- Platforms
- API · Web, API
- Model support
- Single model (proprietary) · Multi-model