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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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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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.
Similar products
Cartesia Sonic delivers natural AI Voices in 40+ languages including accent localization and controls for emotional expressiveness, all at 2-4x lower latency than alternatives with industry leading reliability.
Customer reviews
Oil & Energy
Realistic, Low-Latency Conversational AI with a Smooth Developer Experience
Reviewed on Jul 31, 2026
Review provided by G2
What do you like best about the product?
The best thing I like about this Cartesia platform is it stands out very much precise on designing for real-time conversational AI rather than having a traditional text-to-speech kind of generation. And the speech generations are taught almost instantly, making the conversations feel more natural when compared with other voice AI platforms. I also do like that it combines multiple capabilities right from starting text to speech and speech to text on voice cloning and other voice agents all under a single ecosystem. The voice quality sounds very realistic while maintaining the very low latency, which is particularly valuable for customer support bots and AI assistants. The APIs are well-documented and the developer experience is also straightforward for integrating voice functionality into existing applications.
What do you dislike about the product?
Although the platform performs very well technically, it's more focused on the developer focus then creative focus. Also, sometimes without programming experience, we might find this platform bit complicated unless approachable than consumer-oriented AI voice tools. This platform also offers many advanced configuration options which can feel overwhelming initially but more no-code workflows and additional visual tools for building voice applications make it more easier and broader for our audience. For a highly customised conversation workflow, there is still a learning curve which needs to be worked on this platform.
What problems is the product solving and how is that benefiting you?
This platform helps us solve one of the biggest challenges in conversational AI by reducing the latency while maintaining the natural sound speech and instead of users waiting for several seconds for AI response and conversational feel much more fluid because speech generation and transcription happen in our real time, and this also improves the overall customer experience for Voice Assistant and automated support. This platform also simplifies the development by providing voice generations and transcriptions all under an agent's capabilities through a unified platform instead of requiring to hogging upon multiple platforms.
Piyush T.
Fast, Natural-Sounding AI Voices with an Easy-to-Integrate API
Reviewed on Jul 31, 2026
Review provided by G2
What do you like best about the product?
Fast, natural-sounding AI voice generation with very low latency. The API is easy to integrate, and the voice quality is consistently impressive. pricing is also decent.
What do you dislike about the product?
Documentation could be more detailed for advanced use cases, and I'd like to see more voice customization options.
What problems is the product solving and how is that benefiting you?
It provides fast, high-quality text-to-speech for real-time AI applications, making voice interactions more natural while reducing response time and integration effort. and I needed them to create voice directed navigation and other usecases.
Internet
Fast, Natural-Sounding AI Voices with Low Latency and Reliable Scaling
Reviewed on Jul 30, 2026
Review provided by G2
What do you like best about the product?
It delivers exceptionally fast, natural-sounding AI voice generation with low latency, which makes it a strong fit for real-time use cases like voice assistants, customer support, and conversational AI. The API is straightforward to integrate, the speech output sounds highly realistic, and the platform scales reliably for production workloads.
What do you dislike about the product?
The platform performs well overall, but the selection of voices and the breadth of language support could be expanded. I’d also like to see more granular controls for voice emotion, pronunciation, and speaking style to improve customization, especially for more specialized use cases.
What problems is the product solving and how is that benefiting you?
It allows developers to build real-time voice AI applications without having to deal with the complexity of managing speech infrastructure. It helps reduce latency, improves the quality of AI-driven conversations, speeds up development, and delivers a more natural user experience across customer service, virtual assistants, and other interactive voice applications.
Diya M.
Instant Voice Generation That Sounds Human
Reviewed on Jul 30, 2026
Review provided by G2
What do you like best about the product?
The voice generation happens almost instantly, so there’s no awkward lag during real-time conversations. And unlike a lot of fast text-to-speech tools, it doesn’t come across as a flat robot—its emotion, pacing, and tone sound natural and genuinely human.
What do you dislike about the product?
The main downside I noticed is that the voice library and non-English options feel fairly limited compared to older competitors. Also, you sometimes have to manually tweak the emotional settings, since longer blocks of text can occasionally flatten out and lose their tone.
What problems is the product solving and how is that benefiting you?
Cartesia addresses the huge latency and awkward lag common in traditional voice AI by replacing heavy transformer models with state-space models, enabling audio streaming. For me, that translates into being able to build real-time voice agents that feel fluid and natural, so callers aren’t talking over each other or stuck waiting for responses.
Architecture & Planning
High-Quality Voices and Easy Copy-Paste for Polished Presentations
Reviewed on Jul 30, 2026
Review provided by G2
What do you like best about the product?
I like how you can copy and paste text into the form and from here you can choose how your ai will sound like, so it's very good for setting up presentations. There are also a wide variety of voices to choose from each one having its own personality and the quality is actually quite good
What do you dislike about the product?
I found it quite hard to use as there are so many options and buttons to click and choose from within the user interface. I was take aback quite a bit when I was using this and I felt overwhelmed as I found the U.I too much for me. Overall quite confusing and I had to use guides to see how to navigate through it
What problems is the product solving and how is that benefiting you?
Once I finally figured it out, the main problem it was solving was to put ai voices over my presentations so give it more of a professional spin. I had it so it would have a conversation with me while I was presenting