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.
4.4
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
Sold by
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 |
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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)
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Support
Vendor support
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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
Information Technology and Services
Cartesia Makes Speech-to-Text Transcription Easy and Reliable
Reviewed on Jul 28, 2026
Review provided by G2
What do you like best about the product?
Cartesia is very easy to use. I'm using it for speech-to-text transcription using their Ink. The perfomance and reliability is quite good.
What do you dislike about the product?
Nothing as of now. It has a lot of useful features, and I’m finding them genuinely helpful.
What problems is the product solving and how is that benefiting you?
It transcribes my voice notes into text quickly, which solves my speech-to-text needs. This is helpful because it lets me keep a written, transcribed version on hand whenever I need it.
Muzammil M.
Natural-Sounding Voiceovers That Speed Up My Video Workflow
Reviewed on Jul 28, 2026
Review provided by G2
What do you like best about the product?
I started using Cartesia because I regularly need AI voiceovers for videos, and I wanted speech that sounded natural without spending a lot of time editing. The voices have a smooth, conversational tone, and generating audio is quick enough that I can test different scripts without slowing down my workflow. I also like that the pronunciation is generally consistent, so I spend less time re-recording or fixing small issues before adding the audio to my videos.
What do you dislike about the product?
The available voices are good, but I would still like more options for different speaking styles and emotions. Occasionally I need to adjust the wording of a script to get the delivery I want, and longer voiceovers sometimes require a little extra fine-tuning before they sound exactly right.
What problems is the product solving and how is that benefiting you?
I mainly use Cartesia to create AI voiceovers for explainer videos, product showcases, and short social media content. Instead of recording my own voice every time, I can turn a finished script into clear narration within minutes. It helps me produce videos faster, keeps the voice quality consistent across projects, and makes it easier to update narration whenever the script changes.
Tuli D.
Lightning-Fast, Natural-Sounding TTS With Strong Developer Tools
Reviewed on Jul 27, 2026
Review provided by G2
What do you like best about the product?
1. Industry-leading latency
The headline feature is speed. With a time-to-first audio of just 90ms, Sonic 3 responds faster than you can blink the kind of speed needed to make interactions feel fluid, not clunky. The system can start speaking while the text is still ready or while the user is giving input, allowing smooth, natural conversation without any delay.
2. Expressive, natural voice quality
For years, TTS voices were easy to spot flat, monotone, missing the natural rhythm that gives speech meaning and emotion. Sonic 3 is a big step up: it's designed to understand the context of the text and deliver it with the right feeling, whether that's excitement, sadness, or something in between. It can even pull off a realistic laugh.
3. Voice cloning with minimal audio
Voice cloning capabilities allow the creation of custom voices based on just a few minutes of sample audio, creating personalized vocal avatars for consistent brand representation.
4. Developer-friendly
Excellent documentation, SDKs (Python, JS), and a clear API make integration smooth. The playground makes it easy to audition voices, test cloning, and experiment with SSML controls before committing to API integration.
5. Multilingual support
The system's multilingual support encompasses over 30 languages with native-quality pronunciation, making it suitable for global deployments
The headline feature is speed. With a time-to-first audio of just 90ms, Sonic 3 responds faster than you can blink the kind of speed needed to make interactions feel fluid, not clunky. The system can start speaking while the text is still ready or while the user is giving input, allowing smooth, natural conversation without any delay.
2. Expressive, natural voice quality
For years, TTS voices were easy to spot flat, monotone, missing the natural rhythm that gives speech meaning and emotion. Sonic 3 is a big step up: it's designed to understand the context of the text and deliver it with the right feeling, whether that's excitement, sadness, or something in between. It can even pull off a realistic laugh.
3. Voice cloning with minimal audio
Voice cloning capabilities allow the creation of custom voices based on just a few minutes of sample audio, creating personalized vocal avatars for consistent brand representation.
4. Developer-friendly
Excellent documentation, SDKs (Python, JS), and a clear API make integration smooth. The playground makes it easy to audition voices, test cloning, and experiment with SSML controls before committing to API integration.
5. Multilingual support
The system's multilingual support encompasses over 30 languages with native-quality pronunciation, making it suitable for global deployments
What do you dislike about the product?
1. Smaller pre-built voice library
Being a newer platform, it has a smaller voice library and less stability in voices' qualities and expressiveness compared to more established competitors like ElevenLabs.
2. API-first, not beginner-friendly
Non-technical users might find the API-first approach has a steeper learning curve than a simple web UI. The playground helps, but the full power of the platform really requires coding knowledge.
3. Credit billing complexity
Multi-product billing mixes credits, prepaid agent dollars, and per-minute overages, which complicates budgeting. Pro Voice Clone training and voice-changer rates can create large one-off cost spikes.
4. Limited third-party social proof
At the time of writing, Cartesia has no verified presence on G2, Trustpilot, or Capterra, making evaluation harder than with more established platforms.
5. Not ideal for long-form audio
While Cartesia can handle longer text, it's optimized for conversational, real-time use cases. For audiobooks or podcasts, you may want to evaluate voice quality against platforms specifically designed for long-form content.
Being a newer platform, it has a smaller voice library and less stability in voices' qualities and expressiveness compared to more established competitors like ElevenLabs.
2. API-first, not beginner-friendly
Non-technical users might find the API-first approach has a steeper learning curve than a simple web UI. The playground helps, but the full power of the platform really requires coding knowledge.
3. Credit billing complexity
Multi-product billing mixes credits, prepaid agent dollars, and per-minute overages, which complicates budgeting. Pro Voice Clone training and voice-changer rates can create large one-off cost spikes.
4. Limited third-party social proof
At the time of writing, Cartesia has no verified presence on G2, Trustpilot, or Capterra, making evaluation harder than with more established platforms.
5. Not ideal for long-form audio
While Cartesia can handle longer text, it's optimized for conversational, real-time use cases. For audiobooks or podcasts, you may want to evaluate voice quality against platforms specifically designed for long-form content.
What problems is the product solving and how is that benefiting you?
For L&D and AI-powered e-learning use cases, Cartesia fills a specific gap: voice agents and narration that need to feel immediate rather than pre-rendered. Cartesia AI supports real-time dialogue for NPCs and game characters that can react to player actions, and developers can set voice personalities, emotions, and styles. That maps well to scenario-based learning interactions and chatbot-style microlearning experiences.
The voice cloning feature is especially valuable for keeping narration personas consistent across modules. Being able to clone a brand voice from a short sample and apply it across multiple scripts is a real time-saver in content production pipelines.
The voice cloning feature is especially valuable for keeping narration personas consistent across modules. Being able to clone a brand voice from a short sample and apply it across multiple scripts is a real time-saver in content production pipelines.
Nirmal K.
Incredibly Natural, Emotive Audio
Reviewed on Jul 24, 2026
Review provided by G2
What do you like best about the product?
Delivers incredibly natural, emotive audio.
What do you dislike about the product?
Important features like voice cloning and commercial use licenses are locked behind paid tiers.
What problems is the product solving and how is that benefiting you?
Voice generated via text
Marketing and Advertising
Turning Voice Conversations into Actionable Sales Insights
Reviewed on Jul 23, 2026
Review provided by G2
What do you like best about the product?
What I like best about Cartesia is how it helps make voice-based interactions more accessible and useful by converting spoken content into valuable information. For sales and account management teams, speech-to-text capabilities can help capture customer conversations, training sessions, and internal discussions so important insights are easier to review, share, and act on. This improves productivity, supports better coaching, and helps teams maintain a clearer understanding of customer needs.
What do you dislike about the product?
While Cartesia provides strong voice technology capabilities, speech-to-text experiences can still be improved through continued advancements in accuracy, especially with different accents, multiple speakers, background noise, and industry-specific terminology. More customization options and deeper integrations with sales enablement, CRM, and training platforms would further increase its value for business teams.
What problems is the product solving and how is that benefiting you?
Cartesia helps address the challenge of turning spoken conversations and voice data into actionable insights. For sales and account management teams, this can reduce the time spent manually documenting meetings, improve access to customer information, and create better opportunities for coaching and training. By making conversations easier to capture, analyze, and reference, it helps teams improve collaboration, strengthen customer relationships, and make more informed decisions.