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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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
Muhammed A.
Low-Latency AI Voice Generation with Natural-Sounding Speech
Reviewed on Aug 08, 2026
Review provided by G2
What do you like best about the product?
Cartesia stands out for the natural quality and low latency of its AI voice technology. The speech generation feels responsive enough for conversational applications, where even small delays can make a voice interaction feel artificial. I also like the developer experience, with APIs and SDKs that make it relatively straightforward to connect voice capabilities to an existing application or AI agent. The platform's focus on real-time interaction makes it particularly useful for voice agents and other applications where responsiveness matters as much as audio quality. For teams building AI-powered voice experiences, the combination of speech quality, speed, and developer flexibility provides strong practical value.
What do you dislike about the product?
Cartesia is clearly designed with developers and AI teams in mind, so users without experience working with APIs, voice models, or AI infrastructure may need more time to become comfortable with the platform. I would also like more built-in tools for evaluating voice quality across different models and use cases, particularly when comparing latency, naturalness, and cost. Pricing can become an important consideration for applications with high volumes of real-time conversations, so clearer cost forecasting and optimization guidance would make it easier to estimate ROI before scaling a production voice application. More guided onboarding examples for common voice-agent scenarios would also improve the initial experience.
What problems is the product solving and how is that benefiting you?
Cartesia addresses the challenge of making AI voice interactions sound natural while remaining fast enough for real-time conversations. Traditional text-to-speech systems can introduce noticeable delays or produce voices that feel less conversational, which becomes especially problematic for AI agents that need to respond naturally and continuously. Cartesia's focus on low-latency speech generation helps reduce that friction and makes voice-based AI applications feel more responsive. The API and developer tooling also reduce the amount of custom infrastructure needed to add speech capabilities to an existing AI workflow, allowing teams to spend more time improving the actual agent experience rather than building the voice layer from scratch.
Sravya A.
Fast, Natural, and Powerful AI Voice Platform
Reviewed on Aug 08, 2026
Review provided by G2
What do you like best about the product?
What I like best about Cartesia is the quality and naturalness of its AI voice generation. The voices sound remarkably realistic, with good clarity, expression, and responsiveness. It’s also easy to integrate into applications, making it a great choice for building fast, engaging voice experiences.
What do you dislike about the product?
One area that could be improved is the pricing and usage limits, particularly for higher-volume use cases. It would also be helpful to offer more customization and fine-tuning options to better meet specific voice and pronunciation requirements.
What problems is the product solving and how is that benefiting you?
Cartesia addresses the challenge of delivering natural, real-time AI voice experiences without the need for a lot of complex infrastructure. With fast response times and realistic-sounding voices, it becomes easier to build engaging voice-based applications, while also cutting down development time and improving the overall user experience.
LOKESH G.
Fast, Natural-Sounding Voice Generation with Low-Latency Performance
Reviewed on Aug 06, 2026
Review provided by G2
What do you like best about the product?
What stands out about Cartesia is its fast, natural-sounding voice generation and low-latency performance. It works especially well for real-time conversational AI applications, and the developer-friendly APIs make it relatively straightforward to integrate voice capabilities into existing apps.
What do you dislike about the product?
Some of the more advanced voice customization options can take time to fine-tune for specific use cases, and the output quality can occasionally be inconsistent when dealing with complex or unusual inputs. I’d also like to see greater flexibility and more direct control over voice styles and pronunciation, especially when trying to match a particular tone or delivery.
What problems is the product solving and how is that benefiting you?
Cartesia helps us add fast, natural-sounding voice capabilities to our conversational AI applications without having to build speech infrastructure from scratch. The low-latency voice generation makes interactions feel more responsive while also reducing development effort, so we can build, iterate on, and deploy real-time voice experiences more quickly.
Internet
Easy Text-to-Speech Creation with a User-Friendly Interface
Reviewed on Aug 05, 2026
Review provided by G2
What do you like best about the product?
The best thing that i like about Cartesia is it's easy to use interface and Text to speech creation. You can easily generate text to speech with just adding the content you want to generate the audio for.
What do you dislike about the product?
The one thing that i dislike about Cartesia is at times the audio sounds a bit robotic and not natural or human.
What problems is the product solving and how is that benefiting you?
The problem that cartesia is solving for me is text to speech. I can easily create text to speech audio for my content.
Rakesh G.
Seamless, Low-Latency AI Voice Agent That Feels Human
Reviewed on Aug 05, 2026
Review provided by G2
What do you like best about the product?
Cartesia focuses on delivering a high-quality real-time AI voice agent that can handle normal conversation in a human-like way. It also has very low latency when using the AI voice agent, which makes the experience feel seamless.
What do you dislike about the product?
There isn’t much I dislike about Cartesia. The main challenge I’ve run into is working on the forefront voice agent and integrating it with other modules.
What problems is the product solving and how is that benefiting you?
Curtesia makes voice agents feel natural, with real-time conversation. its enables developers to build voice agent, customer support agents etc.