# hume.ai

> AI-optimized mirror of hume.ai containing 50 pages totalling 22,516 words of clean markdown content, structured data, and semantic HTML. Original source: https://hume.ai/. Last updated: 2026-04-30T23:47:29.720Z.

Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG).

## Homepage

- [TheEmotional IntelligenceLab for Voice AI](/site-root.html): Providing the open source models, datasets, and evaluation APIs to embed emotional intelligence into your voice models. (438 words)

## Articles & Blog Posts

- [Research insights](/blog/introducing-evi-3/index.html): At Hume, we promised ourselves that before the end of 2025, we’d achieve a voice AI experience that can be fully personalized. We believe this is an essential step toward voice being the primary way people want to interact with AI. (1,132 words)
- [**Benefits of a speech-to-speech model**](/blog/announcing-evi-3-api/index.html) (1,015 words)
- [Approach](/blog/opensource-tada/index.html): TADA (Text-Acoustic Dual Alignment) is Hume AI's open-source speech-language model that synchronizes text and audio one-to-one.  (967 words)
- [The Vapi platform](/blog/case-study-hume-vapi/index.html): Vapi's platform serves developers building conversational voice agents in phone calling applications. Through a close partnership with Hume AI, they've integrated Hume's Octave TTS to offer developers real-time expressive text-to-speech at 150ms latency and 2¢/minute pricing, delivering significant performance and cost improvements over previous solutions. (547 words)
- [Octave 2:](/blog/octave-2-launch/index.html): Today we’re launching Octave 2, the second generation of our frontier voice AI model for text-to-speech. We just made a preview of Octave 2 available on our platform and through our API. (807 words)
- [Key partnership highlights:](/blog/case-study-hume-cerebras/index.html): Hume AI has partnered with Cerebras to bring expressive, emotionally intelligent voice to Cerebras-hosted language models. The collaboration showcases Qwen-3-235b-a22b, a powerful reasoning model that demonstrates the synergy between Cerebras' ultra-fast inference infrastructure and Hume's Empathic Voice Interface (EVI), enabling voice agents that can think through complex problems while speaking with lifelike emotional intonation and word emphasis. (531 words)
- [Terms of Use](/terms-of-use/index.html): Terms of Use for Hume AI Platform, APIs, and services. Read our terms and conditions for using our empathic AI technology. (1,087 words)
- [Key partnership highlights:](/blog/case-study-hume-groq/index.html): Hume AI has partnered with Groq to bring emotionally intelligent voice to Groq-hosted language models. The collaboration debuts with Kimi K2, supporting a multimodal assistant that showcases how Groq's LPU™ Inference Engine and Hume's Empathic Voice Interface (EVI) work together to create conversations that feel remarkably human. (706 words)
- [About Niantic Spatial](/blog/case-study-hume-niantic/index.html): In partnership with Snap Inc. (hardware) and Hume AI (voice), Niantic Spatial has developed location-aware companions for Spectacles, blending Snap Inc.’s AR glasses, Niantic Spatial’s Large Geospatial Model, and Hume’s Empathic Voice Interface (EVI) for natural, emotionally intelligent conversation.

Niantic Spatial, the team pioneering AI that understands the physical world, is showcasing a compelling glimpse of what can happen when spatial intelligence and augmented reality meet. (579 words)
- [About Coconote](/blog/case-study-hume-coconote/index.html): While traditional note-taking apps require students to manually scroll and search through content, Coconote is creating interactive study experiences through conversational AI.
Coconote’s voice chat feature, powered by Hume's EVI, helps users transform static notes into dynamic conversations. Students can:
Ask natural questions about their lecture content
Receive contextual explanations referencing specific notes, and 
Engage in quiz-style conversations for active learning—all through natural voice interaction. (347 words)
- [About IRIS Insights](/blog/case-study-hume-iris-insights/index.html): IRIS Insights (formerly EarningsEdge AI) is an AI-powered conversational intelligence platform helping organizations, from contact centers to correctional departments, turn human interactions into actionable emotional insight. Their mission is to decode not just what was said in a conversation, but how it was felt.

By exclusively integrating Hume’s Expression Measurement API, IRIS adds a precise emotional layer to its language analysis stack. This allows teams to detect subtle changes in tone like frustration, confusion, or disengagement across every customer or inmate interaction. (429 words)
- [Key partnership highlights:](/blog/case-study-hume-sambanova/index.html): Hume AI has partnered with SambaNova to bring expressive, emotionally intelligent voice to SambaNova-hosted language models. The collaboration addresses a key need identified by SambaNova's extensive customer base, who have been seeking SambaNova-hosted TTS solutions to complement their existing LLM infrastructure, showcasing models like Llama-4-Maverick-17B-128E-Instruct and DeepSeek-R1-Distill-Llama-70B with seamless voice experiences within their trusted AI platform. (536 words)
- [**Why DaiKon?**](/blog/acii-2026-daikon-challenge/index.html) (434 words)
- [Empathic AI for engineers](/developers/index.html): Everything you need to add emotional AI to your applications. SDKs for every platform, integrations with your favorite tools, and documentation to get you shipping fast. (509 words)
- [Privacy Policy](/privacy-policy/index.html): Privacy Policy for Hume AI. Learn how we collect, use, and protect your personal information when using our empathic AI services. (605 words)
- [About Bearwith](/blog/case-study-hume-bearwith/index.html): Bearwith is an AI social anxiety coach that helps people improve their social skills in a judgment-free environment. Specializing in bite-sized lessons followed by practical role-playing exercises, Bearwith empowers users of all communication skill levels to practice difficult or stressful conversations without fear. By integrating Hume's Empathic AI, Bearwith has unlocked the ability to detect and respond to users' emotional states during practice sessions, providing a more supportive and personalized coaching experience that goes beyond traditional text-based interactions. (424 words)
- [About Spoken](/blog/case-study-spoken/index.html): Spoken is an innovative, AI-driven platform designed for independent authors who are seeking affordable alternatives to traditional audiobook production. Founded by Phil Marshall to solve the challenges he faced creating his own audiobook, Spoken empowers writers to transform their manuscripts into expressive, multi-cast audiobooks with full creative control.
Powered by Hume's emotionally intelligent Text-to-Speech API, authors can now create expressive, multi-cast audiobooks that rival professional voice acting. (427 words)
- [About GAF](/blog/case-study-hume-gaf/index.html): To support their extensive training programs and marketing initiatives, GAF leverages Hume's text-to-speech technology to make internal training videos and marketing voiceovers. Our partnership addresses several key needs:
Professional training content: Delivering consistent, high-quality audio for thousands of contractors and employees.
Marketing collateral: Producing engaging voiceovers for promotional content and product demonstrations.
Scalable production: Generating content without the logistics and cost of traditional voice recording.
Hume's voice design also proved ideal for GAF. The platform's natural, expressive voices maintain the authoritative yet approachable tone that GAF needs to communicate with contractors, retailers, and customers. Unlike synthetic voices that can sound robotic or overly casual, Hume's TTS technology delivers the polished, trustworthy quality expected from an industry leader. (276 words)
- [About AudioStack](/blog/case-study-hume-audiostack/index.html): AudioStack offers a comprehensive voice library for audio advertisements, podcasts, and branded content. As they continue to grow their voice offerings, they're integrating Hume's emotionally intelligent voices to meet two core demands of creative teams:
1. Consistent Stability
Enterprise content generation requires voices that perform reliably across thousands of productions. Hume's voices deliver consistent quality and pronunciation, ensuring brand messaging remains clear and professional, whether creating one ad or thousands of dynamic variations.
2. Natural Expressiveness
Generic TTS voices often sound flat or robotic—a dealbreaker for agencies creating audio that needs to engage audiences. Hume's voices bring genuine emotional depth, helping audio content feel authentic, engaging, and human. (279 words)
- [About Journee](/blog/case-study-hume-journee/index.html): Hume replaced OpenAI, Deepgram, ElevenLabs, and Langfuse, more than halving Journee’s costs and dramatically simplifying debugging and prompt management.
EVI solved Journee's challenges across five dimensions:
Affordable Scaling: Industry-low pricing enabled Journee to deploy voice agents across every customer touchpoint.
Clean APIs: Hume’s complete, well-documented APIs and Python SDK reduced integration time from weeks to days.
Consistent Enterprise Performance: EVI delivers latency ranging from 140 ms to 1.3 s, outperforming any other solution Journee tested, even under heavy multi-session load.
Technical Precision: Hume’s API sends a reliable “end-of-speech” signal, allowing Journee to instantly release inference resources.
Expressive and Natural Voices: EVI sends the first second of speech almost instantly, then streams the rest reliably, enabling natural turn-taking and emotional realism. (441 words)
- [About Inception Point](/blog/case-study-hume-inception-point/index.html): As Inception Point scales to thousands of AI personalities, they chose Hume’s Empathic Voice Interface (EVI) to deliver across three critical capabilities:
Real Expressiveness: Their AI hosts need to not only read the script, but build a genuine relationship with their audience. EVI brings emotional intelligence and personality to every episode, transforming basic narration into an engaging conversation.
Enterprise Scalability: Producing 3,000+ episodes weekly demands consistent, high-quality voices that don't degrade under volume. EVI maintains studio-grade audio fidelity whether Inception Point is creating 50 episodes or 50,000.
Multi-Format Ready: As Inception Point expands beyond podcasting into short-form video, social media content, and interactive experiences, EVI provides voices that work across every medium. (382 words)
- [About Interview Optimiser](/blog/case-study-hume-interview-optimiser/index.html): Interview Optimiser is an AI-powered platform that helps job seekers prepare for interviews through realistic, voice-to-voice mock interviews. Their mission is to equip candidates with confidence and clarity by simulating high-pressure interview scenarios. By implementing Hume's Empathic Voice Interface (EVI), they deliver dynamic, adaptive conversations and provide feedback on vocal delivery—such as tone, confidence, and emotional regulation.
Their customer base includes job seekers at all career stages, as well as recruiters looking to streamline early-stage screenings. This partnership has enabled them to offer a lifelike interview experience with actionable insights, bridging the gap between practice and real-world performance. (383 words)
- [The Challenge: Staying Ahead of Synthetic Voices](/blog/case-study-hume-reality-defender/index.html): Hume AI's partnership provided Reality Defender with strategic advantages through early access to our Empathic Voice Interface (EVI):

Proactive Threat Intelligence: EVI helps Reality Defender understand and prepare for emerging voice synthesis capabilities before they become widely available, enabling next-generation audio detection that can identify sophisticated voice deepfakes.

Comprehensive Dataset Generation: Reality Defender generates extensive datasets with EVI that refine and improve their audio detection models, with continuous algorithm refinement through their exposure to cutting-edge voice AI. (436 words)
- [About Revelum](/blog/case-study-hume-revelum/index.html): Our collaboration with Revelum creates a critical feedback loop for responsible AI development:
Early Access to EVI: Revelum trains their models on Hume's cutting-edge voice technology, ensuring detection capabilities stay ahead of emerging threats before they reach malicious actors.
Continuous Refinement: As Hume's emotionally intelligent voices become more sophisticated, Revelum's detection algorithms evolve in parallel.
“By partnering with Hume, we’re taking a vital step toward building technology that anticipates — not just reacts to — the evolving tactics of bad actors seeking to misuse powerful models. Together, we’re staying one step ahead in ensuring generative AI is used responsibly.” (330 words)
- [Vocal Call Types](/explore/vocal-expression-description-model/index.html): Explore Hume AI's expression measurement models including facial expression analysis, speech prosody, and vocal expression detection. (81 words)
- [About WebAppClouds](/blog/case-study-hume-webappclouds/index.html): EVI's conversational naturalness makes it exceptional for phone support. It recognizes tone, emotion, and phrasing, keeping interactions warm and efficient. The platform's intelligent end-of-turn detection ensures conversations flow smoothly without awkward pauses or interruptions.
For WebAppClouds' clients, this translates to support customers actually enjoy. Instead of navigating complicated menus, customers simply say what they need, whether it's booking, rescheduling, or getting information. EVI integrates seamlessly with the WebAppClouds system, enabling real-time scheduling updates while delivering faster responses and consistent brand experiences. (356 words)
- [About Render Foundry](/blog/case-study-hume-render-foundry/index.html): Using Hume's custom voice cloning technology, Render Foundry created a Babe Ruth simulator that feels emotionally authentic. Hume's captured the tonal qualities, cadence, and personality of the baseball icon, allowing visitors to have natural, engaging conversations with one of sports' most beloved figures.
The result is an experience that transcends typical museum exhibits. Visitors not only learn about Babe Ruth, but also connect with him. Render Foundry created something truly special by simulating Babe’s likeness and syncing the audio and the visual, making this experience one-of-a-kind. (301 words)
- [Speech Prosody](/explore/speech-prosody-model/index.html): Explore Hume AI's expression measurement models including facial expression analysis, speech prosody, and vocal expression detection. (89 words)
- [Vocal Expression](/explore/vocal-expression-model/index.html): Explore Hume AI's expression measurement models including facial expression analysis, speech prosody, and vocal expression detection. (88 words)
- [Acceptable Use Policy](/acceptable-use-policy/index.html): Guidelines for using Hume AI's services in a safe, lawful, and respectful manner. (298 words)
- [FACS 2.0](/explore/facs/index.html): Explore Hume AI's expression measurement models including facial expression analysis, speech prosody, and vocal expression detection. (171 words)
- [Dynamic Reaction](/explore/dynamic-reaction/index.html): Explore Hume AI's expression measurement models including facial expression analysis, speech prosody, and vocal expression detection. (100 words)
- [Subprocessor List](/subprocessors/index.html): List of subprocessors that Hume AI uses to carry out processing activities on customer data. (99 words)
- [API Data Usage Policy](/api-data-usage-policy/index.html): Learn how Hume AI handles data submitted through our APIs, including our commitment to not using customer data for training our models. (199 words)
- [Stay in the loop](/blog/index.html): Explore articles, case studies, product updates, and research from Hume AI. Stay updated on the latest developments in empathic AI and emotional intelligence. (1,167 words)
- [Contact our sales team](/sales-form/index.html): Contact our sales team for unlimited text to speech, EVI minutes, enterprise compliance, and dedicated support. (61 words)
- [octave/index.html](/octave/index.html) (1 words)
- [ProductEmpathic Voice Interface](/empathic-voice-interface/index.html): Build voice-first AI experiences that understand and respond to human emotions. EVI enables natural, empathic conversations at scale. (1,010 words)
- [publications/index.html](/publications/index.html) (1 words)
- [From document to audio, effortlessly](/creator-studio/index.html): Import your content, assign voices, add acting directions, and export production-ready audio. Create hours of natural-sounding speech for audiobooks, videos, and more. (669 words)
- [From cutting edge research to proven applications](/customers/index.html): See how leading companies are using Hume to build empathic AI experiences. Discover customer success stories and use cases. (221 words)
- [How Hume Got Here](/blog/data-blog-jan/index.html): What’s changed isn’t just where voice is used, but what it represents. Voice is no longer a feature layered on top of an intelligent system. It’s becoming a foundational modality through which models reason, interact, and are judged by users. (970 words)
- [Hume AI is pioneering the development of artificial intelligence that understands and responds to human emotions.](/about/index.html): Hume AI is pioneering the development of artificial intelligence that understands and responds to human emotions. Building technology that puts emotional intelligence at the center of AI. (938 words)
- [Help us build AI that serves human goals and emotional well-being](/careers/index.html): Join us in building AI that understands and responds to human emotions with care and nuance. We're on a mission to ensure artificial intelligence is developed in ways that are beneficial to humanity. (295 words)
- [Conversational AI that actually understands](/conversational-ai/index.html): Build AI agents that engage in natural, emotionally intelligent conversations. Create voice and chat experiences that understand context, adapt to user sentiment, and respond with genuine empathy. (390 words)
- [Pricing that works at any scale](/pricing/index.html): Explore our flexible pricing plans designed to fit your needs. Compare features, choose the best option, and get started today. (699 words)
- [Say Hello](/contact/index.html): Contact Hume AI for sales inquiries, developer support, academic partnerships, or press inquiries. We'd love to hear from you. (155 words)
- [Facial Expression](/explore/facial-expression-model/index.html): Explore Hume AI's expression measurement models including facial expression analysis, speech prosody, and vocal expression detection. (93 words)
- [Application error: a client-side exception has occurred while loading www.hume.ai (see the browser console for more information).](/research/index.html) (17 words)

## Resources

- [Full Page Index](/index.html): Browse all cached pages with rich metadata
- [About This Cache](/content/about.html): Methodology, technical details, and usage guidelines
- [XML Sitemap](/content/sitemap.xml): Machine-readable sitemap for crawler discovery
- [Robots.txt](/content/robots.txt): Crawler directives