Cartesia

cartesia.ai

Cartesia is a real-time voice AI platform offering ultra-low-latency text-to-speech, speech-to-text, and conversational voice agents for developers building phone, in-app, and on-device voice experiences.

Overview

Cartesia is a voice-AI infrastructure company founded in 2023 by ex-Google researchers, built around a custom model family it calls Sonic. The core pitch is real-time, low-latency speech: where many TTS providers add hundreds of milliseconds of delay, Cartesia targets conversational speeds suitable for live phone calls, in-app voice assistants, and on-device use. Beyond text-to-speech, the platform ships speech-to-text (its Ink model) and a hosted Voice Agents product that lets developers wire a full inbound or outbound call flow without standing up their own telephony stack. It is squarely a developer tool, you interact through APIs, SDKs, and a playground rather than a consumer app. In our evaluation Cartesia’s differentiator is latency and concurrency headroom: it is designed for systems that must hold thousands of simultaneous voice sessions, which is exactly the gap most general-purpose voice models leave open. The trade-off is that it is not a turnkey content studio, you bring the product around it.

Key Features

  • Sonic real-time TTS — sub-second, streaming synthesis tuned for natural conversational cadence rather than slow batch rendering.
  • Instant and professional voice cloning — clone a voice from a short sample (Pro) or with higher fidelity (Startup plus) for branded agents.
  • Ink speech-to-text — a separate ASR model for transcribing calls and streaming audio in the same pipeline.
  • Hosted Voice Agents — build inbound or outbound conversational agents with telephony, per-minute billing, and concurrent-call limits handled for you.
  • Generous concurrency tiers — plans scale from a few parallel requests to 60 plus concurrent calls, aimed at production call centers.
  • Developer-first delivery — REST and WebSocket APIs, SDKs, and a playground, with no consumer editing UI to learn.

Pricing

PlanPriceFor
Free$0/mo20K credits/mo, TTS plus STT, 1 agent slot, prototyping
Pro$5/mo100K credits/mo, commercial license, instant voice cloning
Startup$49/mo1.25M credits/mo, pro cloning, orgs, 5 agent slots
Scale$299/mo8M credits/mo, priority support, 15 concurrent calls
EnterpriseCustomVolume pricing, SSO, DPA or BAA, custom concurrency

Comparison

Compared to ElevenLabs, Cartesia trades some of the flagship voice realism and the massive consumer ecosystem for lower latency and stronger concurrency, better for live agents, weaker as a narration studio. Against PlayHT, the two are close on developer APIs, but Cartesia bundles hosted Voice Agents and telephony that PlayHT leaves to you. Versus Hume AI, Cartesia is narrower (voice only, no emotion modeling) yet simpler to deploy for plain speech synthesis at scale.

Compare alternatives

Side-by-side with the 2 closest alternatives.

ToolCategoryPricingVisit
Cartesia (this) voice, audio, agentsFree $0/mo · From $5/mo Site ↗
ElevenLabsvoiceFree $0 · From $5/mo Site ↗
Hume AIvoice, audio, agentsFree $0 · From $3/mo Site ↗
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Cartesia is a real-time voice AI platform offering ultra-low-latency text-to-speech, speech-to-text, and conversational voice agents for developers building phone, in-app, and on-device voice experiences.

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Editor’s Review
4.4/5
Pros
  • +Genuinely low-latency TTS built for live conversation, not batch rendering
  • +Bundled Voice Agents and telephony remove a lot of call-infra work
  • +Concurrency headroom scales from prototype to production call centers
Cons
  • No consumer creative studio, you must build the product around the API
  • Voice realism lags the very top tier for long-form narration
  • Usage-based credits can get unpredictable at high call volume

Cartesia is the tool we reach for when latency and concurrency matter more than cinematic voice quality. It is a focused developer platform rather than a creative suite, and that focus is exactly why production voice-agent teams like it. The credit model needs watching at scale, but the free tier is enough to validate a prototype in an afternoon.

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