Hume AI logo

Hume AI

Empathic voice AI lab providing speech-to-speech models (EVI, Octave) that understand and generate emotion.

-
US Est. 2021 Active AI API / SDK for Developers

Our Verdict

The lab to use when empathy and affect in voice actually matter to your product.

Pros

  • Best-in-class emotion understanding in voice
  • Low-latency EVI for real-time conversations
  • Octave TTS is expressive and customizable

Cons

  • Pricing higher than commodity TTS providers
  • Emotion labels raise ethical and UX questions
  • Still niche vs incumbents like ElevenLabs
Best for: Voice agents, coaching, healthcare and companionship apps Not for: Bulk TTS workloads where cost per character is the priority

When to Use Hume AI

Good fit if you need

  • Measuring emotional tone in voice and video for UX research
  • Building empathic voice interfaces with emotion-aware responses
  • Analyzing customer sentiment from call recordings at scale
  • Detecting emotional signals in text for mental health apps

Hume AI Pricing

Pricing Model
usage
Free Tier
Yes
Entry Price
β€”
Enterprise Available
No
Transparency Score
β€”

Beta β€” estimates may differ from actual pricing

1,000
1001K10K100K1M
10,000
1K10K100K1M10M

Estimated Monthly Cost

$25

Estimated Annual Cost

$300

Estimates are approximate and may not reflect current pricing. Always check the official pricing page.

Project Health

C

Health Score

172 44
Bus Factor

4

Last Commit

8 days

Release Freq

15d

Open Issues

2

Issue Response

1d

License

MIT

Last checked: 2026-04-21

Lock-in Assessment

Medium 3/5
Lock-in Score
3/5

πŸ”„ Thinking about migrating off Hume AI?

Get an AI-drafted migration plan + a copy-paste email to Hume AI support requesting a data export. Pick where you're moving to and tell us your context.

Looking for alternatives to Hume AI?

Answer 4 quick questions β€” get an AI-ranked shortlist of tools that match your stack and requirements.

Open AI Tool Finder

Community Discussion

Comments powered by Giscus (GitHub Discussions). You need a GitHub account to comment.