Hume AI builds emotionally intelligent voice AI, with its Empathic Voice Interface (EVI) that understands and expresses emotion in real-time conversation.
Hume’s research into emotional expression powers EVI, a conversational voice interface that detects tone and emotion in speech and responds with empathetic, expressive voice. Conversations feel more human because the system models not just words but how things are said.
Hume offers speech, expression and empathy APIs alongside EVI, serving applications in companionship, mental wellness, customer experience and gaming. Its Octave TTS generates expressive speech with emotional nuance, and its science-first approach grounds its technology in peer-reviewed emotion research. Expression measurement across voice and language lets applications respond to how users feel, not just what they say. Its published research keeps the technology grounded in science rather than marketing claims.
Hume offers free trial credits for exploring EVI and its APIs. Paid plans are usage-based across speech and processing volume, with enterprise agreements for dedicated capacity, compliance and support. Trial credits cover prototype development, and usage pricing scales with speech and processing volume predictably.
Hume serves developers building companions, wellness applications, gaming characters and customer experiences where emotional intelligence differentiates the product from robotic assistants. It also suits research groups studying emotion in human-computer interaction with production-grade tools.
Yes, Hume provides free trial credits sufficient for building prototypes. Production applications move to usage-based pricing as volume grows.
Yes, Hume is entirely API-first, with real-time streaming endpoints for EVI and batch APIs for expression analysis.
Hume differentiates on emotional intelligence where most voice APIs optimize for clarity and speed. For applications that must feel empathetic, Hume’s emotion models give it a unique edge. Hume is the specialist for emotional intelligence; teams needing only clear, fast speech can use simpler and cheaper TTS providers. Projects that only need clear narration will find cheaper options, but when the experience depends on users feeling understood, Hume’s emotion models meaningfully change how interactions land. Integration effort is straightforward thanks to clear documentation, and prototypes typically reach convincing conversational quality within days rather than weeks of tuning work.