Sold by: Cartesia
Deployed on AWS
Get started with state-of-the-art Sonic and Ink Voice AI models, plus usage of Line Voice Agents all under one simple subscription.
4.3
Overview
Cartesia is the leading Voice AI foundation model research and development company powering the next generation of Voice AI applications. The team developed a suite of products starting with core speech models and expanding into an end-to-end Voice Agent development platform.
Sonic models are the fastest text-to-speech model for real-time conversations, delivering ultra-realistic voice generation 2-3x faster than alternatives - complete with features for voice cloning, customization, controllability, and more.
Ink models are among the fastest speech-to-text models, optimized for real-time use cases and designed for real-world conversations.
Line brings these two models together into a Voice Agent platform, built with developer experience in mind. The flexible, code-first architecture lets teams connect to existing chat systems, bring in any agentic frameworks, and integrate with any systems.
One subscription gets you access to all three products. Once you complete your AWS Marketplace purchase, you will be directed to a form to share your account information. You will also be prompted to set up your account here: https://play.cartesia.ai/ . Reach out to support@cartesia.ai to get customized pricing and configurations.
Highlights
- State-of-the-Art Voice: Sonic leads the industry across third-party naturalness, latency, and reliability benchmarks.
- Enterprise-Ready: SOC 2 Type 2, HIPAA, Level 2 PCI Compliance, and SSO, with global deployments, on-premise, on-device, and custom SLAs.
- Global Reach: Seamless conversations across languages with native localization features, perfect for international deployment.
Details
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Delivery method
Deployed on AWS
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Introducing multi-product solutions
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month | Overage cost |
|---|---|---|---|
Scale | Scale Plan which includes 8M model credits, and up to 4,983 minutes of Voice Agent usage | $299.00 | |
Enterprise | Contact support@cartesia.ai for enterprise plans with customized pricing, concurrency, support, and more. Please do not checkout with this option. | $100,000.00 |
Dimensions summary
You choose between two contract options. The Scale plan is a fixed package that bundles 8 million model credits with up to 4,983 minutes of Voice Agent usage. Credits power text-to-speech and speech-to-text, while agent minutes cover voice agent calls. This plan also includes priority support and high concurrency limits. The Enterprise option is not a set price. Instead, you contact the vendor to arrange custom credits, agent usage, concurrency, and support terms. Do not check out with the Enterprise option; it directs you to reach out for a tailored quote.
Top-of-mind questions for buyers
Credits meter text-to-speech and speech-to-text. Text-to-speech uses 15 credits per second of audio. A one-time voice localization costs 225 credits. Voice Agent usage is counted in call minutes, billed per minute of agent activity. Your Scale plan bundles 8 million credits and up to 4,983 agent minutes.
The Scale plan bundles a fixed 8 million credits and up to 4,983 Voice Agent minutes. If your usage grows beyond these amounts, the vendor directs you to the Enterprise option for custom credits, agent usage, and concurrency. Contact support@cartesia.ai to arrange those terms.
Both metrics come bundled in one fixed Scale package, so they do not add separately to your bill. Credits cover speech generation and transcription. Agent minutes cover live voice calls. You draw from each pool independently within the same plan until you reach either included limit.
www.cartesia.ai
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Vendor refund policy
All fees are non-refundable and non-cancellable except as required by law.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Devansh s.
Works like magic & best option out there if you're looking for 'Speech to text'
Reviewed on Oct 13, 2026
Review provided by G2
What do you like best about the product?
The best part is Cartesia provides free trial too. I mostly use such tools for my content & short film making process & that already requires good money, so I try to find such free alternatives to try before purchasing any plan & that's how I discovered Cartesia & another best thing is Speech to text feature. Which is so sooo accurate as compared with others. I have used a lot of such tools and I use them too. But the accuracy in Cartesia's Speech to text is honestly good!
What do you dislike about the product?
I have used other such AI tools & software too & I feel the 'Text to speech' thing can be improved in Cartesia. Because firstly there are so many voice options which is of course good but there is not that much variety. Most of them sound kinda similar to me. Same goes to the 'Emotion' option available there. I have tried so many times to use different emotions but most of the times the tone doesn't change at all. But when it works, it works like magic that's the only reason I keep trying until I get the result I want.
What problems is the product solving and how is that benefiting you?
I'm a content writer, I do freelancing most of the time & I had projects where I needed a proper voice to convey my content to someone who isn't able to read & projects where I needed a good voice for a video. Earlier I used to ask my different friends to do voiceovers & that's something where I'm saving a lot of time & efforts after using Cartesia! & The Ink-2 model in speech to text is something which I use mostly! Because it works so well in caption generation, that's my hack!
Pravesh D.
Natural-Sounding Voiceovers Fast, with Flexible Emotion Controls
Reviewed on Oct 06, 2026
Review provided by G2
What do you like best about the product?
Our marketing team uses Cartesia to add voiceover to videos, social media content, and product walkthroughs. The voices sound natural and not robotic, which is important when the audio represents our brand to customers. Generation is quick, so we can produce a voiceover in minutes and revise it if the script changes, instead of re-recording or waiting on an outside voice artist. The speed and emotion controls let us match the tone to the content, like upbeat for social posts and calmer for product explainers. The API and SDKs are straightforward, which makes it easy to fit into our workflow.
What do you dislike about the product?
Some points like brand name, product names, and some regional pronunciations needed a few tries or spelling adjustments. The interface leans towards developers, so non-technical team members needed some time to get comfortable.
What problems is the product solving and how is that benefiting you?
It removes the need for studio recording sessions and outside voice talent for routine marketing content. This cuts turnaround time and cost, keeps the voice consistent across campaigns, and lets us update audio quickly when messaging changes.
Irfaana H.
Natural, Expressive Voice Tech—With a Learning Curve for Advanced Setup
Reviewed on Sep 22, 2026
Review provided by G2
What do you like best about the product?
I like how natural and responsive the voice technology feels. The speech sounds smooth and expressive rather than overly robotic, which makes a big difference when using it for customer facing experiences.
What do you dislike about the product?
That there can be a bit of a learning curve when you start exploring the more advanced options. The basics are fairly straightforward, but getting everything configured exactly the way you want can take some experimenting.
What problems is the product solving and how is that benefiting you?
Helping me create more natural voice based experiences without having to rely on traditional recordings or spend a lot of time producing audio manually. I can generate realistic speech quickly and make changes when needed, which is esp useful when testing different customer interactions or support scenarios.
Alison D.
Straightforward Setup and Clear Call Monitoring in Cartesia
Reviewed on Sep 20, 2026
Review provided by G2
What do you like best about the product?
I like how straightforward Cartesia makes it to set up and monitor AI voice agents. The Calls section gives me a simple view of completed calls, call type, duration, and other details, which makes it easier to keep track of how an agent is being used. The setup also feels approachable when testing an assistant for real business use cases.
What do you dislike about the product?
Some areas could provide more detailed information around individual calls. I would also like to see more flexibility and deeper reporting options as the number of agents and calls grows.
What problems is the product solving and how is that benefiting you?
We use Cartesia to experiment with AI-powered assistants for business workflows and customer interactions. Being able to create an assistant and monitor its calls gives us a practical way to test conversational automation without building the entire voice infrastructure ourselves. It helps us evaluate where AI agents can reduce repetitive communication work and improve responsiveness.
Jeet S.
Cartesia Makes AI Voice Experimentation Easy, with a Smooth UI and Rich Voice Library
Reviewed on Sep 08, 2026
Review provided by G2
What do you like best about the product?
What I like most about Cartesia is how easy it is to experiment with its AI voice features. I especially like the voice library because it offers a range of voices, accents, and languages to choose from, so it’s simple to find something that fits. I also appreciate the voice agent setup and the pronunciation controls. Being able to test these features on the Free plan makes it a solid option for trying out voice ideas before spending money, and it helps me plan my pricing budget accordingly. Also Ui/UX is so smooth to understand that i walkthrough each and every page and it was self explanatory.
What do you dislike about the product?
I dislike about cartesia is that I got little bit confused at frist because different features use credits differently. every feature has diffeernt credit usuage for some its by character , while other have on time , etc which is like i cant guarantee when tokens get consumed by how much.
What problems is the product solving and how is that benefiting you?
The pronunciation problem is what Cartesia is solving for me. It enables me to create a custom dictionary, which is really useful when using AI voice that needs to correctly say product names, categories, and division/vendor names in our use case. For example, “Bud Light” sometimes gets pronounced like “bird light,” and this helps prevent that.
The Voice Agent section was another strong part of the platform. You can create an agent and connect things like instructions, tools, and a knowledge base, which was a lifesaver. That way, when customers ask questions, we can be more confident the AI won’t hallucinate.
The Voice Agent section was another strong part of the platform. You can create an agent and connect things like instructions, tools, and a knowledge base, which was a lifesaver. That way, when customers ask questions, we can be more confident the AI won’t hallucinate.