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Hume ai Reviews for 2025

Emotionally responsive AI applications
Tekpon Score:
4.6/5

Score is based on User Sentiment from reviews and public chatter. We weight volume, recency, and consistency, then normalize to 5.

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What is Hume AI?

Hume AI is an artificial intelligence platform focused on understanding and generating human emotion through voice and facial expressions. The company develops tools that allow machines to perceive emotional cues and respond in ways that align with human affective states. Its Empathic Voice Interface (EVI) provides natural conversational capabilities, detecting and expressing emotion through tone and context, while its Text-to-Speech API converts written text into expressive, emotionally nuanced speech.

Hume AI’s Expression Measurement suite captures and analyzes emotional responses from audio and video inputs, enabling developers, researchers, and businesses to quantify user sentiment and engagement. The technology is grounded in scientific research on human expression, making it applicable across healthcare, education, customer experience, and conversational AI systems.

By combining emotion recognition with generative speech, Hume AI aims to create more natural, empathic interactions between humans and AI systems, supporting the next generation of emotionally intelligent applications.

Found in these Categories

Best For

  • StartUps
  • Small Business
  • Medium Business
  • Large Enterprise

Hume ai Pricing

Starting From:
$ 0.01 /second
Pricing Model: Subscription
Hume AI offers a free plan with limited access to its APIs. Paid plans start at $0.01 per second for text-to-speech and scale based on usage. Enterprise pricing is available upon request.
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Hume ai Features

  • AI Voice Changer
  • Adaptive Reverb
  • Audio Transcription
  • Audio Restoration
  • Audio Denoising
  • Automated Editing
  • Automatic Tagging
  • Automatic Mastering
  • Text-to-Speech
  • Voice Cloning
  • Dialogue Cleanup
  • Empathic voice interface
  • Emotion recognition API
  • Text-to-speech synthesis
  • Expression measurement
  • Real-time emotion analysis
  • Speech emotion detection
  • Voice sentiment tracking
  • Facial expression analysis
  • Conversational AI tools
  • Audio emotion labeling
  • Dynamic voice responses
  • Multilingual emotion modeling
  • Voice tone adaptation
  • Behavioral data analytics
  • Emotion-based responses
  • Realistic voice rendering
  • Developer dashboard
  • Dataset access tools
  • Emotion model training
  • Custom voice tuning
  • Streaming audio support
  • Interactive demos
  • Secure API endpoints
  • SDK for integration
  • Usage analytics
  • Enterprise support
  • Custom model deployment

Hume ai Integrations

  • Twilio

    SMS Marketing Software

  • Vercel

    Application Development Software

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Hume ai Company Details

Company Name

Hume AI , INC.

Headquarters

United States

Website

www.hume.ai

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Hume ai Frequently Asked Questions

Hume AI is a research lab and technology company focused on building AI systems that understand and respond to human emotion – in other words, emotional intelligence for machines. According to the company: “Our mission is to ensure that artificial intelligence is built to serve human goals and emotional well-being.”
By enabling machines to measure and generate emotional nuance via voice, speech, facial expression or text, it aims to tackle the problem of “dry,” context-blind, emotion-unaware AI experiences.

Why it matters: Many AI solutions work technically well but fail to feel human or emotionally attuned – Hume AI bridges that gap.

When you create voice-based content, the problem is that traditional text-to-speech engines often feel robotic, flat, or context-unaware. That can break engagement or reduce emotional impact. Hume AI’s TTS engine – called Octave – solves that by being a “voice-based LLM” that understands the meaning of words in context, and can therefore predict emotions, cadence, and delivery style.
Key differentiators:

  • You can instruct it to “sound sarcastic,” “whisper fearfully,” etc.
  • It supports ultra-low latency streaming (approx. 200ms) for applications like voice assistants, avatars, phone calls.
  • It supports many languages (11+ listed).

The “Empathic Voice Interface,” referred to as EVI, is a speech-to-speech foundation model built by Hume AI. It aims to support highly realistic voice interactions, where a user speaks and the system responds in voice – with nuance, style, possibly cloned voice, tuned tone, and conversational context.
You’d use EVI in applications such as:

  • Voice assistants or chatbots that speak back with personality
  • Game characters or AI companions that speak fluidly
  • Real-time voice interfaces in customer service, phone calls, etc

Features:

Low-latency (~300ms) responses, ability to clone voice from ~30s recordings, adjust tone like “whisper anxiously,” integrate with external language‐models. Thus, EVI is ideal when you need not just converting text to voice, but full conversational voice experiences that reflect emotional nuance.

Hume AI’s “Expression Measurement” product enables developers to measure human emotional expression via one API across multiple modalities – speech prosody, voice, facial expression, video, text.

Use cases include:

  • Analysing customer support calls to detect frustration, confusion, satisfaction
  • Evaluating videos for emotional tone in media & entertainment
  • Voice-based wellness or feedback apps that track user affect over time
  • The product is built on “10+ years of research, millions of proprietary data points, and over 40 publications” to support high-dimensional understanding of emotion rather than simplistic categories.

In short: it gives your application a “sense” of human emotion via measurable signals.

Hume AI offers tiered pricing across Free, Starter, Creator, Pro, Scale, Business and custom Enterprise plans.

Highlights:

  • Free plan: $0/month with limited usage (e.g., ~10 minutes of text-to-speech).
  • Starter plan: $3/month (first month 50% off) with ~30 minutes TTS, 40 minutes speech-to-speech included.
  • Higher tiers scale to millions of characters/minutes for TTS, configurable usage for speech-to-speech, voice cloning, team collaboration, commercial licenses.
  • The Expression Measurement product is priced pay-as-you-go — e.g., $0.0213/min for audio only, $0.015/min for video only.

Implication:

You can start small and scale to enterprise deployments; pricing reflects usage and feature upgrades (team seats, commercial license, higher RPM, etc.).

Hume AI demonstrates strong expertise and trust by:

  • Basing its mission on emotion science and ethical AI, acknowledging the “AI alignment” challenge and emphasising human well‐being.
  • Backing its products with research: e.g., for the Expression Measurement product site states “10+ years of research… over 40 publications in leading journals.
  • Offering compliance for enterprise plans (SOC 2 Type II, GDPR, HIPAA) in their pricing page.

These elements establish Hume AI as both technically rigorous and ethically oriented – helpful in building confidence for enterprise decision-makers.

Yes, Hume AI is designed to support both ends of the spectrum.

  • For startups or creators: the Free/Starter/Creator tiers allow low-cost entry, enabling experimentation with expressive voice or emotion measurement features.
  • For fast-growing teams: as usage scales you can upgrade to higher tiers (Pro, Scale) with support for millions of characters/minutes, team seats, voice cloning, commercial licenses.
  • For large enterprises: the Business or custom Enterprise plan provides unlimited usage, high concurrency (e.g., 30+ connections), full API/SDK integrations, compliance (e.g., HIPAA) and dedicated support.

Conclusion

Whether you’re building a podcast with a few voices or deploying voice agents at scale across thousands of users, Hume AI supports the pathway.

Before committing, you should consider:

  • While the engine supports many languages (11+ spoken languages listed), you’ll want to check if your target language/localisation is fully supported.
  • Voice cloning (and unlimited usage) is only available in the higher tiers – lower tiers may have restrictions (“Create only” vs “create and use”).
  • Usage-based pricing for heavy usage (especially speech-to-speech or expression measurement) means cost will scale with volume – you should model your expected minutes/characters.
  • As with any advanced voice/emotion AI, integration complexity (SDKs, latency, tuning of tone/instruction) may require some development effort – it’s more than plug-and-play in simple cases.

By verifying these factors ahead of time, you can ensure Hume AI meets your budget, language and integration needs.

About the Authors

Cristian Ciulei |

Writer

Cristian Ciulei

CTO & Co-Founder @ Tekpon

Lead Code Architect
Cristian Ciulei is the CTO and co-founder of Tekpon. He has a strong technical background and extensive experience in web development, including proficiency in HTML5, CSS3, JavaScript, PHP, and Google Cloud Services.
Alina Maria Stan |

Editor

Alina Maria Stan

COO & Co-Founder @ Tekpon

Lead Gen Master & Affiliation Expert
Alina Maria Stan is the COO and Co-Founder of Tekpon, where she has utilized her expertise in SaaS, software promotion, and lead generation since July 2020. Her role involves media buying and extensive software branding, contributing significantly to Tekpon's market presence.

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