A complete guide to Hume AI pricing in 2025

Let’s be honest, most AI voices still sound pretty robotic. We’re all used to that flat, monotone delivery. But the tech is catching up, and we’re finally getting AI that can sound genuinely human, making things like customer support calls feel a lot more natural. One of the big names in this space is Hume AI, which focuses on creating emotionally intelligent, "empathic" voice AI.

That all sounds impressive, but it brings up the one question every team asks when looking at new tech: what’s the price tag? It’s easy to get excited about cool features, but you need to know how much it’s going to cost and what you actually get for your money.

This guide will give you a clear, no-nonsense breakdown of Hume AI’s features and its pricing so you can figure out if it’s the right fit for your team.

What is Hume AI?

Hume AI is a research lab and tech company that’s all-in on building AI that gets emotion, especially in voice. Their whole goal is to make talking to a machine feel less like giving commands and more like having a real conversation.

Their main product is the Empathic Voice Interface (EVI). It’s a speech-to-speech model that doesn’t just process words, but also picks up on the emotional cues in your voice to create a more expressive, human-like response. They also have a text-to-speech (TTS) engine called Octave that helps power this.

It’s important to know who Hume AI is for. It’s mostly a toolkit for developers. Companies use their APIs and SDKs to build advanced voice features into their own apps. You might see it used to create voices for video game characters, generate audio for podcasts, or build AI agents that can handle phone calls.

Key Hume AI features and capabilities

Before we get into the cost, let’s take a quick look at what Hume AI can actually do. The platform is made up of a few core pieces that developers can use.

Empathetic Voice Interface (EVI)

EVI is the star of the show. It’s a speech-language model that listens to how you say something, your tone, rhythm, and pauses, and then generates a spoken response that’s emotionally in tune with the conversation. It’s designed to understand the feeling behind the words, not just the words themselves.

A few things EVI can do:

• Hold a spoken conversation: It can generate its own expressive voice in real time, making for a back-and-forth chat.

• Clone voices: With less than 30 seconds of audio, it can create a digital clone of a voice, capturing its unique sound and cadence.

• Work with other AIs: EVI is built to be the voice for other AI brains. You can connect it to large language models like Claude or Gemini, which figure out what to say, while EVI handles how to say it in a natural-sounding way.

Octave Text-to-Speech (TTS)

Octave is the engine that turns text into speech. But unlike old-school TTS systems that sound flat, Octave is a voice-based LLM. This means it understands the context of the words it’s speaking, allowing it to generate a natural cadence and tone. It also works in over 11 languages, including English, Spanish, French, and Japanese.

Use cases and target applications

Hume AI’s tech is pretty flexible and can be used in a few different areas:

• Content Creation: Generating narration for things like audiobooks, podcasts, and videos.

• AI Characters: Giving voice to virtual companions and non-player characters in video games.

• AI for Phone Calls: Building voice agents for customer support or sales calls.

While Hume AI provides a powerful voice, it’s just one piece of the puzzle for a support team. It doesn’t come with the rest of the tools you need to actually manage customer service. To use it, you’ll need developers to connect it to your helpdesk, build the logic for handling tickets, and program all the actions you need it to take. For teams that need a complete solution that works out of the box, a platform like eesel AI offers a no-code alternative. It plugs directly into helpdesks like Zendesk or Freshdesk to automate entire ticket workflows, not just the voice on the phone.

A complete breakdown of Hume AI pricing

Hume AI’s pricing is split into two main buckets: monthly subscription plans for its voice products (TTS and EVI) and a separate pay-as-you-go model for its expression measurement APIs. To get a real sense of the cost, you have to look at both.

Hume AI pricing subscription plans (TTS and EVI)

The subscription plans are tiered based on how much you use them, measured in characters for text-to-speech and minutes for the Empathic Voice Interface. As you go up the tiers, you get more usage, a higher number of requests per minute (RPM), and access to features like a commercial license and team seats.

Here’s the full breakdown:

Plan	Price (Monthly)	Monthly TTS Characters	Monthly EVI Minutes	Key Features
Free	$0	10,000 (~10 min)	5 minutes	15 RPM, 1 concurrent connection, Voice cloning (create only)
Starter	$3	30,000 (~30 min)	40 minutes	15 RPM, 5 concurrent connections, 20 projects
Creator	$14	140,000 (~140 min)	200 minutes	75 RPM, Commercial license, Unlimited voice cloning (create & use)
Pro	$70	1,000,000 (~1,000 min)	1,200 minutes	75 RPM, 10 concurrent connections, 3,000 projects
Scale	$200	3,300,000 (~3,300 min)	5,000 minutes	150 RPM, 20 concurrent connections, 3 team seats
Business	$500	10,000,000 (~10,000 min)	12,500 minutes	225 RPM, 30 concurrent connections, 5 team seats
Enterprise	Custom	Custom	Custom	Custom RPM, unlimited seats, Slack support, SOC 2, GDPR, HIPAA

Here’s something you really need to watch out for: overage costs. If you go over your monthly limit of characters or minutes, you’ll be charged for the extra usage. For instance, on the Pro plan, any EVI usage past your included 1,200 minutes costs another $0.06 per minute. For a support team having a busy month, those extra charges can add up fast.

Hume AI pricing for the Expression Measurement API

Separate from the voice tools, Hume AI has an API that analyzes emotion from different kinds of media. This is a pay-as-you-go service, and here are the rates:

• Video with audio: $0.0276 / min

• Audio only: $0.0213 / min

• Video only: $0.015 / min

• Images: $0.00068 / image

• Text only: $0.00008 / word

How the Hume AI pricing model impacts support teams

For a support team, the last thing you want is a surprise bill at the end of the month. The biggest headache with a usage-based model like Hume AI’s is that your monthly costs can be all over the place. If you have a high volume of tickets, your costs shoot up. This makes budgeting a total guessing game, and you’re basically paying a penalty for providing more support to your customers.

This is a huge difference from a platform like eesel AI, which offers pricing that’s straightforward and predictable. eesel AI’s plans are based on a set number of AI interactions (which could be a reply or an automated action), so you always know exactly what you’re paying. There are no per-resolution fees or confusing per-minute calculations, which makes it much easier to budget and scale without worrying about unexpected costs.

This review covers seven key aspects of Hume AI, giving you a comprehensive overview before you decide on a plan.

Limitations and considerations

The tech is definitely cool, but support leaders need to think about whether Hume AI is actually a practical tool for their team’s daily work. Here are a few big limitations to keep in mind.

It’s a tool for developers, not a solution for support teams

This is the most important thing to understand about Hume AI. It gives you powerful building blocks, like a box of LEGOs. But it’s not a finished spaceship. You need a team of developers to take those pieces and build, integrate, and maintain a working support agent.

This is where a tool like eesel AI offers a totally different approach. It’s built to be simple enough for anyone to use. A non-technical person can connect their helpdesk, train the AI on all their company knowledge, and get it running in minutes, not months, without writing a single line of code.

Lack of a customizable workflow engine

Hume AI can handle the voice, but it can’t manage the actual support process. It can’t tag a ticket on its own, send it to the right department, look up a customer’s order information, or decide when a conversation needs to be handed off to a human agent. All of that logic has to be custom-built from scratch by your development team.

With eesel AI, a fully customizable workflow engine is built right in. You get complete control to decide which tickets the AI handles, what actions it can take (like checking an order status in Shopify), and exactly when and how it should escalate to a person. That control is part of the package, not something you have to pay engineers to build.

Knowledge is limited to what you build

An AI is only as smart as the information you give it. Hume AI’s models don’t automatically connect to your company’s knowledge. You have to build the integrations to feed it information from your help center, internal wikis like Confluence or Google Docs, and your past support tickets.

In contrast, eesel AI is designed to connect to all your knowledge instantly. With one-click integrations for dozens of platforms, it automatically learns from all your existing documents and past tickets to give accurate, context-aware answers from day one.

Is Hume AI pricing right for you?

So, what’s the verdict? Hume AI is a seriously impressive platform for creating AI voices that sound human. Its pricing and developer-first approach make it a solid choice for teams that are building custom applications where voice is a core feature, and they have the engineering resources to back it up.

However, for most customer support teams, it presents some major roadblocks. The unpredictable costs, the heavy need for developers, and the lack of a built-in workflow engine make it a complicated and potentially expensive choice for automating everyday support tasks. If you need a solution that just works, Hume AI probably isn’t it.

A better alternative for support automation: eesel AI

For customer service and IT teams who want results without the engineering headache, eesel AI is the way to go. It’s a complete platform designed to automate support workflows right out of the box.

Here’s what makes eesel AI different:

• Go live in minutes, not months: It’s a truly self-serve platform that anyone on your team can set up.

• Total workflow control: You’re in the driver’s seat, deciding exactly what gets automated and how.

• Unify all your knowledge: Instantly connect it to your helpdesks, wikis, and docs.

• Test with confidence: A simulation mode lets you see your potential ROI before you even launch.

• Transparent & predictable pricing: Simple plans with no hidden fees or surprise charges at the end of the month.

Ready to automate support without needing a team of developers? Try eesel AI for free or book a demo to see it in action.