
Hume AI provides an API for emotionally aware text-to-speech and speech-to-speech voice interactions for developers building conversational applications.
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Hume AI provides an API for emotionally aware text-to-speech and speech-to-speech voice interactions for developers building conversational applications.
Category
Developer Tools
Free plan available at $0 per month with limited usage for testing. Starter plan is $3 per month. Creator plan is $7 or $14 per month depending on billing cycle. Pro plan is $70 per month. Scale plan is $200 per month. Business plan is $500 per month. Enterprise pricing is available on request. Usage-based charges apply for API consumption beyond plan-included limits.
| Plan | Details |
|---|---|
| Free | Free plan provides limited monthly usage for testing and experimentation with Hume AI's voice models, without commercial licensing. |
| Paid | Starter: $3/month. Creator: $7–$14/month. Pro: $70/month with commercial license and higher request limits. Scale: $200/month with expanded concurrency and usage. Business: $500/month with organization features and team management. Enterprise: custom pricing from Hume AI. Usage-based charges apply beyond plan limits. |
Quick Summary
Hume AI is a developer-focused voice AI platform that provides text-to-speech and speech-to-speech capabilities through an API, with a core focus on emotionally expressive and contextually aware voice output. It is designed for developers, product teams, and businesses building conversational agents, virtual assistants, and interactive applications that require voice interactions to feel natural rather than robotic. Hume AI offers a free plan for testing alongside paid tiers scaling from $3 to $500 per month, with enterprise pricing available for high-volume production deployments.
Associated Tags
emotionally intelligent voice AI, text-to-speech API, speech-to-speech AI, real-time voice API, voice cloning, conversational AI voice, EVI voice model
Discover practical workflows and real-world scenarios where Hume AI delivers key solutions.
Building a conversational AI assistant that responds to user speech with emotionally contextual voice output, improving engagement compared to flat TTS responses
Integrating Hume AI's EVI model into a customer support voice agent to detect caller tone and adapt response delivery to the emotional context of the conversation
Creating a voice cloned brand persona for an application using higher-tier plans, maintaining consistent voice identity across user interactions
Connecting Hume AI's voice layer to an external LLM to produce real-time speech output from a preferred language model backend without separate TTS infrastructure
Prototyping an emotionally aware voice interface on the free plan before scaling to a paid tier for production deployment with commercial licensing
Deploying interactive voice characters in games or narrative applications using Octave's expressive delivery modes for more natural character speech
Reviewed by Sohail Akhtar
Lead Editor & Founder
What we like
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Who should use Hume AI?
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