Watch: Do not start a net-new Expression Measurement...

Hume AI
Hume AI builds empathic voice...
$0-$500/month
Best plan
$0-$500/month
Risk: Do not start a net-new Expression Measurement...
Rankings stay editorial.
Should you use it?
Hume AI builds empathic voice AI. EVI handles speech-to-speech with emotional awareness; Octave is the TTS model with emotional nuance. Pick Hume for voice agents where emotional response style matters. Skip for new Expression Measurement projects unless Hume gives you a current replacement path.
- Buy ifVoice agents needing emotional awareness
- Pick$0-$500/month
- Skip ifUltra-low-latency transactional agents
Plan guidance
What to buy
$0 / $3 / $14 / $70 / $200 / $500 per month / custom
Do not start a net-new Expression Measurement...
Current pricing source: Hume AI pricing
Fit
Use it for this, skip it for that
Best for
- Voice agents needing emotional awareness
- Customer support and coaching apps
- Therapy, wellness, companion apps
- Migration planning for older Expression Measurement workflows
Avoid if
- Ultra-low-latency transactional agents
- Self-hosted deployments
- Teams needing a single TTS replacement for ElevenLabs (different positioning)
- Watch out
- Do not start a net-new Expression Measurement implementation without Hume confirmation: the current docs index no longer lists that route and the old markdown endpoint returns Page Not Found. EVI/Octave projects still need consent, privacy, bias, and safety review.
Recent changes
Only what affects the decision
- Free / Starter / Creator / Pro / Scale / Business / Enterprise
Public pricing page rechecked with browser extraction. Current rows list Octave characters, EVI minutes, concurrency, seats, voice cloning, support, and Enterprise compliance packaging
Hume AI pricing - Free / Starter / Creator / Pro / Scale / Business
Reverified subscription ladder and treated the legacy Expression Measurement route as a migration caveat. EVI and Octave remain the active buyer surfaces
Hume AI pricing - Free / Starter / Creator / Pro / Scale / Business
Pricing page rechecked. Subscription pricing and quota structure remain visible. Legacy Expression Measurement availability should be vendor-confirmed before any new build
Hume AI pricing
Alternatives
Best swaps
The top-ranked AI voice platform in June 2026. Eleven v3 covers 70+ languages with expressive audio tags, Flash v2.5 hits ~75ms
$0-$990/month · 9.3/10WhisperOpenAI's open-weights speech-to-text baseline. MIT-licensed code and weights remain useful for self-hosted batch transcription,
Free self-host / OpenAI transcription API $0.003-$0.006 per minute; GPT-Realtime-Whisper $0.017 per minute · 9/10CartesiaReal-time voice stack for agents. Sonic-3.5 TTS and Ink-2 STT now form the default Line model pair for eligible voice agents, wi
$0-$239/month + credits · 8.5/10Proof and score mathVerified Jun 28
Proof
Why this recommendation is trusted
- Source
- Registered source
- Freshness
- Review due
- Confidence
- Low confidence
- Verified
- Review
- Volatility
- Volatile
Stale source hume-ai-pricing.
Editorial score
Unweighted average of 4 axes · confidence high
- Utility8/10
How much real work it can do for a competent operator, end to end.
- Value8/10
What you get for the dollar relative to the closest alternative.
- Moat8/10
How hard it would be for a competitor to replicate the underlying advantage.
- Longevity7/10
How likely the product is to still be best-in-class 24 months out.
Verified facts
- Best ForBest for teams building expressive voice, empathic AI, and emotion-aware interaction features through hosted APIs.
- Pricing AnchorHume AI pricing is API/usage oriented with Free, Starter $3/mo, Creator $14/mo (first month $7), Pro $70/mo, Scale $200/mo, Business $500/mo, and Enterprise custom packaging as of June 28, 2026; verify EVI minutes, Octave characters, concurrency, seats, voice cloning, and enterprise terms before purchase.
- Watch Out ForDo not start a net-new Expression Measurement implementation without Hume confirmation: the current docs index no longer lists that route and the old markdown endpoint returns Page Not Found. EVI/Octave projects still need consent, privacy, bias, and safety review.
- Api AvailableDeveloper docs are the source of truth for authentication, streaming, EVI voice behavior, Octave TTS, voice cloning, SDK integration, use-case guidelines, billing, and current API surfaces.
- Model ControlProduct evaluation should separate EVI speech-to-speech, Octave TTS, voice cloning, and safety-review requirements because each has different cost, latency, consent, and risk implications.
Full review notesLong-form details, FAQ, and source history
Hume AI is the empathic voice research lab turned product company. Founded 2021 by former Google AI emotion researcher Alan Cowen, the company ships three closed-source products plus one open-source TTS model:
- EVI (Empathic Voice Interface) is the speech-to-speech system. Handles interruptions, back-channeling, external LLM routing, and expressive instruction-following. Current production lineup: EVI 3 and EVI 4 mini.
- Octave is the text-to-speech model with voice design, modulation, cloning, and conversion. Emotional nuance is the differentiator, not raw quality.
- Expression Measurement is now a legacy/migration caveat. The current Hume docs index no longer lists the old route, and the old markdown endpoint returns Page Not Found.
- TADA that streams text and audio together to reduce hallucinations and latency.
Supporting services: Human Feedback API (survey templates + participant pools), Data Library (speech datasets covering 50+ languages and 48 emotions), Study Runner (programmatic human evaluations).
System Verdict
Pick Hume AI when emotion is the differentiator in the voice interaction. Voice agents for therapy, wellness, coaching, and customer support benefit from EVI’s prosody-aware responses and interruption handling in ways that generic TTS does not deliver. Starter at $3/mo is one of the cheapest paid voice-AI entry points in the category, and Creator at $14/mo (with a permanent 50% first-month discount to $7) remains competitive for indie developers.
Skip it if raw TTS quality, ultra-low latency, or new emotion-analytics API work is the goal. ElevenLabs leads on voice quality ceiling; Cartesia wins on low-latency voice-agent infrastructure. Hume’s Octave is good but not the strongest pick for pure narration. The legacy Expression Measurement route should be treated as a migration item, not a fresh-build reason, unless Hume confirms a replacement. Also skip if you need self-hosted weights for on-prem deployment; EVI and Octave are both cloud-only.
Who pays which tier: Free for evaluation (5 min EVI, 10K TTS chars). Starter $3/mo for hobbyist voice-agent builders. Creator $14/mo (first month $7) for indie developers (140K chars + 200 min EVI + 1,000 projects). Pro $70/mo when production usage crosses 1M chars/mo. Scale $200/mo for teams needing 3 seats. Business $500/mo for 5-seat orgs with higher concurrency. Enterprise custom for SOC 2 + GDPR + HIPAA, unlimited usage, and Slack support.
Key Facts
| Core products | ) · TADA (open-source) · voice cloning docs · use-case guidelines |
| EVI versions | EVI 3 (full) · EVI 4 mini (smaller, faster) |
| Languages (datasets / TTS) | 50+ in the Data Library · multilingual TTS in Octave |
| Research/data signals | Hume’s site describes 50+ languages, 48+ emotions, and 600+ voice descriptors across its emotional-intelligence research/data story |
| Voice descriptors | 600+ in the Data Library |
| Subscription pricing | Free · Starter $3 · Creator $14 (first month $7) · Pro $70 · Scale $200 · Business $500 · Enterprise custom |
| Octave TTS rate | $0.05 to $0.15 per 1,000 chars (plan-dependent) |
| EVI speech-to-speech | $0.04 to $0.07 per minute overage |
| Expression Measurement | Legacy route no longer appears in the current docs index; old markdown endpoint returns Page Not Found |
| Concurrent connections | 1 Free · 5 Starter/Creator · 10 Pro · 20 Scale · 30 Business · unlimited Enterprise |
| Team seats | Solo through Pro · 3 Scale · 5 Business · custom Enterprise |
| Compliance | SOC 2 · GDPR · HIPAA (Enterprise) |
| Voice cloning | Included on all tiers (create + use) |
| Self-hosted | None on EVI / Octave · TADA is open-source |
Every current data point above was verified against Hume’s published sources on 2026-06-28.
What it actually is
A voice-AI platform with emotion science at the core. The company’s current public site still emphasizes a research/data story spanning 50+ languages, 48+ emotions, and 600+ voice descriptors, while current buyer evaluation should center on EVI, Octave, voice cloning, and safety-review requirements.
EVI is the flagship. It’s a speech-to-speech system rather than a TTS pipeline: input audio in, response audio out, with the model handling prosody, interruptions, and back-channeling natively. Developers can route the LLM-level reasoning through external models (Claude, GPT, Gemini, open-source) while EVI owns the audio layer.
Octave is where voice quality sits. Less polished than ElevenLabs on pure narration but with more emotional range per prompt. Voice design lets developers spec voices by description (“warm, gentle, 40s female”) rather than cloning; voice cloning is included on all tiers.
Expression Measurement should be treated as a legacy path. The current docs index no longer lists the old route, and the old markdown endpoint returns Page Not Found. Existing users should ask Hume for migration guidance; new buyers should not evaluate Hume primarily for that API unless their Hume contact confirms a replacement path.
TADA architecture where text and audio stream together to reduce hallucination. Useful for teams evaluating Hume’s approach before committing to EVI.
When to pick Hume AI
- Voice agents where emotion matters. Therapy, coaching, wellness, customer support, companion apps. EVI’s interruption handling and back-channeling feel conversationally different from ChatGPT Voice or ElevenLabs Conversational.
- Emotional nuance in narration. Octave with emotion tags produces delivery variations that straight TTS misses. Useful for character voices, audiobook dramatization, and expressive brand voices.
- Migration planning for older emotion analytics. Existing Expression Measurement users should ask Hume for a current replacement path. Net-new analytics projects should not assume the old route remains available.
- Budget-friendly voice-AI entry. Starter at $3/mo stays among the cheapest paid voice-AI entry points. Creator moved to $14/mo as of May 2026 with a permanent 50% first-month discount ($7), still competitive for indie developers wanting 140K TTS chars + 200 EVI minutes. Free tier includes 5 min EVI + 10K TTS chars for evaluation.
- External LLM flexibility. EVI’s architecture lets developers bring their own LLM for reasoning while Hume owns the voice layer. Useful for teams already committed to a specific model.
- Research-adjacent workflows. Data Library, Human Feedback API, and Study Runner serve academic and commercial research teams that other voice-AI vendors do not target.
When to pick something else
- Peak voice quality or multilingual breadth: ElevenLabs. Eleven v3 leads on narration quality and language coverage (70+ languages on v3); Octave’s positioning is emotion, not peak fidelity.
- Ultra-low latency for real-time agents: Cartesia delivers sub-40ms vs EVI’s higher round-trip latency.
- Open-source self-hosting of the full stack: Fish Audio. TADA is open-source but it’s the text-audio streaming architecture, not a drop-in EVI replacement.
- Single TTS replacement for an ElevenLabs subscription: Octave works but does not match ElevenLabs on quality ceiling. Consider whether the emotional-range differentiation justifies the switch.
Pricing
Subscription pricing via hume.ai/pricing:
| Plan | Monthly | TTS Characters | EVI Minutes | Concurrent | Projects | Seats |
|---|---|---|---|---|---|---|
| Free | $0 | 10K | 5 | 1 | 20 | 1 |
| Starter | $3 | 30K | 40 | 5 | 20 | 1 |
| Creator | $14 (first month $7, 50% off) | 140K | 200 | 5 | 1,000 | 1 |
| Pro | $70 | 1M | 1,200 | 10 | 3,000 | 1 |
| Scale | $200 | 3.3M | 5,000 | 20 | 10,000 | 3 |
| Business | $500 | 10M | 12,500 | 30 | 20,000 | 5 |
| Enterprise | Custom | Unlimited | Unlimited | Unlimited | Unlimited | Custom |
Usage-based rates (overages or custom workflows):
| Service | Rate |
|---|---|
| Octave TTS | $0.05 to $0.15 per 1,000 characters (plan-dependent) |
| EVI speech-to-speech overage | $0.04 to $0.07 per minute |
| Expression Measurement | Old docs route no longer appears in the current docs index; vendor-confirm before building around it |
Prices verified 2026-06-28 via Hume pricing, Hume products, and the current Hume developer docs index. Voice cloning (create and use) is included on public tiers. Enterprise adds API voice access, SOC 2 Type II / GDPR / HIPAA packaging, Slack support, and custom rate limits.
Against the alternatives
| Hume Octave | ElevenLabs v3 | Cartesia | |
|---|---|---|---|
| Voice quality ceiling | Strong, emotion-focused | Highest on v3 | Strong, speed-optimized |
| Emotional nuance | Strongest (48 emotions, voice descriptors) | Audio tags on v3 | Limited prosody control |
| Real-time latency | Higher (EVI roundtrip) | ~75ms on Flash v2.5 | Sub-40ms (category leader) |
| Voice cloning | Included all tiers | IVC + PVC on Creator+ | Available |
| Speech-to-speech | EVI (native) | Requires Conversational AI setup | Available |
| Emotion analytics API | Legacy route: vendor-confirm before buying around it | None | None |
| Open-source option | TADA (partial) | None | None |
| Entry price | $3/mo Starter ($14 Creator) | $6/mo Starter | Paid tier only |
| Best viewed as | Emotion-AI specialist | Quality + coverage leader | Latency specialist |
Failure modes
- Raw TTS quality is not the lead. Octave is good but not category-leading. Teams that prioritize peak narration fidelity over emotional range should pair Hume with or switch to ElevenLabs for narration work.
- Latency on EVI is higher than Cartesia or Flash v2.5. Speech-to-speech roundtrip is the tradeoff for prosody-aware processing. Real-time agents needing sub-100ms feel should benchmark before committing.
- Free tier is tight. 5 minutes of EVI and 10K TTS chars per month is evaluation-only. Serious usage starts at Starter $3/mo.
- Multiple quota types can surprise. TTS characters, EVI minutes, concurrent connections, and projects all scale independently per tier. Heavy usage on one dimension can force a tier upgrade even if others have headroom.
- Expression Measurement is not a current buying reason. The current docs index no longer lists the old route, and the old markdown endpoint returns Page Not Found. Do not treat older modality pricing as a durable buying reason.
- Self-hosting is limited. EVI and Octave are cloud-only. TADA is open-source but it is an LLM-TTS architecture, not a drop-in replacement for EVI or Octave.
- Research-voice positioning cuts both ways. The academic heritage gives Hume credibility on emotion but slows mainstream adoption versus flashier category leaders.
Methodology
This page was produced by the aipedia.wiki editorial pipeline, an automated system that ingests vendor documentation, verifies pricing and model details against primary sources, and generates the editorial analysis you are reading. No individual human wrote this review. Scoring follows the four-dimension rubric at /about/scoring/ (Utility x Value x Moat x Longevity, unweighted average). Last verified 2026-06-28 against Hume pricing, the Hume homepage, Hume products, and current Hume EVI, TTS, voice cloning, and use-case guideline docs.
FAQ
What is Hume AI known for? Empathic voice AI. EVI handles prosody-aware speech-to-speech and Octave delivers emotional nuance in TTS. Historically Hume was also known for Expression Measurement, but current buyer evaluation should focus on EVI, Octave, voice cloning, and vendor-confirmed migration guidance.
What is EVI and how does it differ from ChatGPT Voice or ElevenLabs Conversational? EVI (Empathic Voice Interface) is a speech-to-speech system with native support for interruptions, back-channeling, and prosody-aware responses. ChatGPT Voice and ElevenLabs Conversational focus on voice quality; EVI focuses on conversational feel. Developers route LLM-level reasoning through external models (Claude, GPT, Gemini) while Hume owns the audio layer.
Is Hume AI free? Yes, the Free tier includes 5 minutes of EVI and 10,000 TTS characters per month. Sufficient for evaluation. Starter at $3/mo is the lowest paid tier for actual deployments.
What is Octave? Octave is Hume’s text-to-speech model with voice design, modulation, cloning, and conversion. Emotional range is the differentiator; it does not compete with ElevenLabs v3 on peak narration quality.
What is Expression Measurement? A legacy Hume capability for emotion scoring. The current docs index no longer lists the old route, and the old markdown endpoint returns Page Not Found, so treat it as a vendor-confirmed migration question rather than a new-build reason.
What is TADA? Hume’s open-source LLM-TTS system that streams text and audio together, reducing hallucinations and latency. Useful as a research-friendly alternative to proprietary TTS architectures but not a drop-in EVI or Octave replacement.
Can I clone my voice on Hume? Yes, voice cloning (create and use) is included on all tiers, including Free. This is unusual; most competitors gate cloning behind paid plans.
Sources
- Hume AI pricing: current plan prices, quotas, seats, usage rates
- Hume AI homepage: current product and research positioning
- Hume developer platform: API reference, SDKs, model versioning
- Hume EVI docs: current EVI behavior and integration docs
- Hume TTS docs: current Octave TTS behavior and response modes
- Hume voice cloning docs: voice cloning availability and consent workflow
- Hume use-case guidelines: ethical guidance and scientific best practices
Related
- Category: AI Voice
- Plan guide: Hume AI Pricing for Emotion-Aware Voice Apps
- Workflow guide: Best Voice AI for Emotion-Aware Products
- Alternatives: ElevenLabs · Cartesia · Fish Audio · Lovo · Murf
Reader reviews
Embed this score on your siteFree. Links back.
<a href="https://aipedia.wiki/tools/hume-ai/" target="_blank" rel="noopener"><img src="https://aipedia.wiki/badges/hume-ai.svg" alt="Hume AI on aipedia.wiki" width="260" height="72" /></a>[](https://aipedia.wiki/tools/hume-ai/)Badge value auto-updates if the editorial score changes. Attribution via the link is required.
Cite this pageFor journalists, researchers, and bloggers
According to aipedia.wiki Editorial at aipedia.wiki (https://aipedia.wiki/tools/hume-ai/)aipedia.wiki Editorial. (2026). Hume AI: Editorial Review. aipedia.wiki. Retrieved August 3, 2026, from https://aipedia.wiki/tools/hume-ai/aipedia.wiki Editorial. "Hume AI: Editorial Review." aipedia.wiki, 2026, https://aipedia.wiki/tools/hume-ai/. Accessed August 3, 2026.aipedia.wiki Editorial. 2026. "Hume AI: Editorial Review." aipedia.wiki. https://aipedia.wiki/tools/hume-ai/.@misc{hume-ai-editorial-review-2026,
author = {{aipedia.wiki Editorial}},
title = {Hume AI: Editorial Review},
year = {2026},
publisher = {aipedia.wiki},
url = {https://aipedia.wiki/tools/hume-ai/},
note = {Accessed: 2026-08-02}
}Spotted an error or want to share your experience with Hume AI?
Every tool page is re-verified on a recurring cycle, and corrections land faster when readers flag them directly. If you spot a stale fact, a missing capability, or have used Hume AI and want to share what worked or didn't, the editorial desk reviews every message sent through this form.
Email editorial@aipedia.wiki