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Hume

Freemium
aiapiemotion aiaffective computingvoice analysisdeveloper toolsmachine learningaudio processingnatural language processingsentiment analysis

An AI research lab and company providing a toolkit and APIs that empower developers to build applications with emotional intelligence by interpreting vocal, facial, and linguistic expressions.


Hume is a developer-centric platform offering a suite of APIs designed to imbue applications with emotional intelligence. Its core technology analyzes complex signals from human voice, facial expressions, and language to predict a nuanced spectrum of over 48 emotional states, moving far beyond simple positive or negative sentiment analysis. Hume primarily serves developers, researchers, and companies aiming to build more natural, responsive, and empathic products, such as next-generation voice assistants, customer support tools, or wellbeing applications. The company's unique value proposition is its research-grounded, multi-modal approach, highlighted by its flagship Empathic Voice Interface (EVI), which understands the tone of voice to generate more human-like, emotionally aware responses. This focus on deep emotional expression analysis paves the way for truly human-centric AI interactions.

Pros

  • Analyzes a nuanced spectrum of 48+ emotional dimensions, far exceeding basic sentiment analysis.
  • Multi-modal capabilities process voice prosody, facial expressions, and language.
  • Flagship Empathic Voice Interface (EVI) enables truly responsive conversational AI.
  • Grounded in extensive scientific research on human emotion and expression.
  • Offers a free developer tier for experimentation and building prototypes.
  • Provides SDKs for popular languages like Python and TypeScript.

Cons

  • Pay-as-you-go pricing can become unpredictable and costly at large scale.
  • The complexity of the emotional data output requires sophisticated logic to interpret and use effectively.
  • As an API toolkit, it requires significant development effort to build a complete end-user product.
  • Raises potential ethical concerns regarding emotional tracking and data privacy.

Key features

  • Empathic Voice Interface (EVI)
  • Expression Measurement API
  • Analysis of 48 distinct dimensions of emotional expression
  • Prosody analysis for tone, pitch, and rhythm in speech
  • Facial expression measurement
  • Language emotion and sentiment analysis
  • Real-time and batch processing modes
  • Custom Models API for fine-tuning

Integrations

Python SDKTypeScript/JavaScript SDKREST APIWebSocket APINode.jsWeb ApplicationsMobile Applications (iOS/Android via custom build)

Target audience

Developers, AI researchers, and product teams building voice assistants, customer service platforms, mental wellness apps, user research tools, and other human-computer interaction systems.


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Founded

2021

Headquarters

New York, USA

Pricing Tiers

Lab Access

For individual developers and researchers. Includes an API key for development, access to demos, and visualizations. Subject to rate limits.

Free

Build

For startups and products in development. Usage-based pricing with no platform fees. EVI costs $0.09/min and the batch Expression Measurement API starts at $0.0075/second of audio.

Pay-as-you-go

Enterprise

For large-scale deployments. Includes all features, plus options for private deployments, custom model training, dedicated infrastructure, and enterprise-grade support.

Custom


Frequently Asked Questions


Top Alternatives to Hume

Google Cloud Natural Language API

A good choice for general-purpose text sentiment analysis, but it lacks Hume's specialized focus on deep, multi-dimensional emotional expression and multi-modal (voice) analysis.

Amazon Comprehend

Offers robust sentiment analysis and text analytics, but is not purpose-built for the nuanced vocal prosody and empathic response capabilities that define Hume's EVI.

Microsoft Azure Cognitive Services

Provides a broad suite of AI tools including speech and sentiment analysis, but Hume differentiates with its research-backed model of 48+ emotional dimensions and its integrated empathic voice system.

Deepgram

While a leader in speech-to-text with sentiment features, Deepgram's primary focus is transcription accuracy, whereas Hume's is the deep analysis and generation of emotional tone.

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