Best for
Best for developers building low-latency, real-time voice agents.
- Small and mid-sized
- Enterprise
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AI Voice & Speech Comparison
At a glance
Best for
Best for developers building low-latency, real-time voice agents.
Best for
Best for laptop-first teams in back-to-back external calls who want structured notes without a recording bot in the room.
Cataleo does not name a winner. Both statements come from the vendors themselves.
| Criterion | Cartesia | Granola |
|---|---|---|
| Starting price | lower value Free tier; Pro from $5 / month Usage-based credits and agent minutes. Pro adds a commercial-use license and instant voice cloning. | Free tier, then $14 / user / month Business is $14 per user per month and Enterprise $35. The free Basic plan takes unlimited notes but limits how far back the history reaches. |
| Free trial | Free tier with 20,000 credits per month | Free Basic plan with AI meeting notes, AI chat, shared folders and custom templates |
| Commercial use | Paid | Not stated |
| Output | Low-latency real-time speech, instant clone from around three seconds | Transcripts and structured meeting notes with summaries and action items |
| API | Yes | Yes, on Business and Enterprise, alongside an MCP server |
| Hosting | Not stated | Cloud, with desktop apps for macOS and Windows, iOS and Android apps and Apple Watch support |
| Voice cloning | Yes, instant cloning from around three seconds, plus a Pro clone trained on 30 minutes or more of audio | No, Granola transcribes and summarises speech and does not synthesise or clone voices |
| Real-time use | Yes, real-time text-to-speech (Sonic), built for live voice agents | Yes, it transcribes the computer's own audio live during a call without joining as a bot, and on mobile it captures in-person meetings and phone calls |
| Languages | Yes, Sonic 3.6 covers 44 languages natively, chosen per request with a language parameter and regional locale variants | Multi-language support, included from the free Basic plan upwards |
| Speech-to-speech and dubbing | Yes, a voice changer, plus localization that converts existing audio across the 44 supported languages while holding the speaker's emotion and identity | No dubbing or speech-to-speech translation |
| Editing and controls | Speed 0.6x to 1.5x, volume 0.5x to 2x, an emotion setting (neutral, calm, angry, content, sad) or model-interpreted emotion, custom pronunciation dictionaries, accent selection for multilingual voices and text normalization | Customisable note templates, shorthand typed during the call expanded against the transcript, AI chat across the whole meeting history, shared folders and search |
| Consent and trust | The terms of service forbid publishing audio of another person's voice without that person's express permission, and name deceased people and political candidates explicitly | Opt-out of model training on every plan, with an org-wide opt-out, SSO, admin controls over sharing and API use, usage analytics, org-wide auto-deletion and an org-wide usage notification on Enterprise |
| MCP-ready | No | stated Yes |
| Deployment | Cloud (SaaS), Browser-based | Cloud (SaaS), Browser-based |
| Onboarding | Documentation and knowledge base | Not stated |
| Company size | Small and mid-sized, Enterprise | more entries Freelancers, Small and mid-sized, Enterprise |
| Integrations | Not stated | Zoom, Google Meet, Microsoft Teams, Attio, Notion, Slack, HubSpot, Affinity, Zapier |
Adds a column to the table, from the tools in this category.
Row where the values differ The small markers point at the lower number, the longer list or the stated feature. They describe the data, they are not a verdict.
The short version
Every line is one datapoint from the table above, picked automatically. Nothing here is written text.
The trade-offs
Cartesia
Strengths
Limitations
Granola
Strengths
Limitations
Plans
Cartesia
Granola
What users say
Cartesia
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Granola
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Where this comes from
Cartesia https://cartesia.ai · no check date recorded yet
Granola https://www.granola.ai · checked against the official source on 2026-09-15
This table lists factual criteria taken from information the vendors publish themselves. For how we put it together, see the methodology.