Chatter by Hume AI
Emotion AI software
AI notes generator tools
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$3 per month
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What is Chatter by Hume AI
Chatter by Hume AI is an emotion AI product that analyzes human vocal and conversational signals to infer expressed affect and related behavioral cues. It is used by product teams and developers to evaluate spoken interactions (for example, customer support calls, user interviews, or voice assistant conversations) and to build emotion-aware features into applications. The product typically centers on speech-based emotion understanding rather than solely facial analysis, and it is delivered as software that can be integrated into workflows via APIs and tooling.
Speech-focused emotion inference
Chatter is oriented around analyzing voice and conversation, which fits use cases where video is unavailable or impractical (calls, podcasts, voice assistants). This provides an alternative to approaches that rely primarily on facial expressions or lab-grade sensor setups. For teams working with audio-first datasets, it reduces the need to add additional modalities to get affect signals.
Developer-oriented integration model
Hume AI products are commonly positioned for programmatic use, enabling teams to embed emotion inference into applications and pipelines. This supports automation for large volumes of audio (batch processing) as well as near-real-time experiences. It can be easier to operationalize than research-lab tooling that requires specialized hardware and controlled environments.
Useful for conversation QA
Emotion and behavioral cues can complement standard speech analytics by adding signals about frustration, engagement, or uncertainty. This can help QA teams review interactions more efficiently by prioritizing segments that show strong affective changes. It also supports experimentation on how conversational design changes influence user experience over time.
Model validity varies by context
Emotion inference from speech can be sensitive to language, accent, domain vocabulary, and recording conditions. Outputs may not generalize across industries or populations without careful evaluation and calibration. Teams often need to run validation studies and monitor drift to avoid over-interpreting scores.
Privacy and compliance overhead
Processing voice data introduces regulatory and contractual considerations (consent, retention, data residency, and security controls). Some organizations require on-premises or dedicated deployments, which may not be available depending on the offering. Even with strong controls, internal review processes can slow adoption for call and interview analytics.
Limited multimodal coverage
If Chatter is primarily audio-centric, it may not capture facial expressions, gaze, or physiological signals that some emotion research workflows require. Organizations seeking multimodal measurement may need additional tools to combine video and sensor-based inputs. This can add integration work and complicate analysis across modalities.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Free | $0 / month | Text-to-speech (Octave): 10,000 characters (~10 minutes). Speech-to-speech (EVI): 5 minutes included. RPM: 15. Voice cloning: Create only. Support: Discord. |
| Starter | $3 / month | Text-to-speech: 30,000 characters (~30 minutes). EVI: 40 minutes (additional EVI billed $0.07/min). RPM: 15. Projects: 20. |
| Creator | $7 / month and $14 / month (both values shown on site) | Text-to-speech: 140,000 characters (~140 minutes). Additional characters: $0.15/1,000. EVI: 200 minutes (additional $0.07/min). RPM: 75. Projects: 1,000. Voice cloning: Unlimited (create and use). Note: page displays both $7/month and $14/month. |
| Pro | $70 / month | Text-to-speech: 1,000,000 characters (~1,000 minutes). Additional characters: $0.12/1,000. EVI: 1,200 minutes (additional $0.06/min). RPM: 75. Projects: 3,000. |
| Scale | $200 / month | Text-to-speech: 3,300,000 characters (~3,300 minutes). Additional characters: $0.10/1,000. EVI: 5,000 minutes (additional $0.05/min). RPM: 150. Projects: 10,000. Team seats: 3. |
| Business | $500 / month | Text-to-speech: 10,000,000 characters (~10,000 minutes). Additional characters: $0.05/1,000. EVI: 12,500 minutes (additional $0.04/min). RPM: 225. Projects: 20,000. Team seats: 5. |
| Enterprise | Custom | Custom pricing — contact sales. Text-to-speech/EVI/limits: "As much as you need"; unlimited team seats and API access. |
Expression Measurement (pay-as-you-go):
Pricing model: Pay-as-you-go Free tier/trial: Not indicated on pricing page Example costs: Video with audio — $0.0828 / minute; Audio only — $0.0639 / minute; Video only — $0.045 / minute; Images — $0.00204 / image; Text only — $0.00024 / word Discount options: Volume discounts and enterprise volume discounts noted on the page.
(Information sourced directly from Hume AI official pricing page.)
Seller details
Hume AI, Inc.
New York, NY, USA
2021
Private
https://www.hume.ai/
https://x.com/hume_ai
https://www.linkedin.com/company/hume-ai/
