Best for
Best for developers building low-latency, real-time voice agents.
- Small and mid-sized
- Enterprise
No tools match
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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 teams who need every meeting written up, summarised and pushed into the tools where the follow-up actually happens.
Cataleo does not name a winner. Both statements come from the vendors themselves.
| Criterion | Cartesia | Otter.ai |
|---|---|---|
| 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 from $8.33 / user / month The $8.33 Pro rate is billed annually; paid monthly it is $16.99. Business is $19.99 / user / month billed annually or $30 monthly. The free Basic plan carries 300 transcription minutes a month and 3 lifetime file imports. |
| Free trial | Free tier with 20,000 credits per month | Free Basic plan with 300 monthly transcription minutes |
| Commercial use | Paid | Not stated |
| Output | Low-latency real-time speech, instant clone from around three seconds | Live transcripts, meeting summaries and action items |
| API | Yes | On Enterprise |
| Hosting | Not stated | Cloud, with desktop apps for Mac and Windows, mobile apps and a Chrome extension |
| Voice cloning | Yes, instant cloning from around three seconds, plus a Pro clone trained on 30 minutes or more of audio | No, Otter 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, live transcription and captions during the meeting, either with Otter joining the call or recording from the desktop app without a bot |
| Languages | Yes, Sonic 3.6 covers 44 languages natively, chosen per request with a language parameter and regional locale variants | One language per conversation, selected in settings; the supported set includes English (US and UK), Spanish, French and Japanese |
| 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 | Speaker identification, meeting summaries with decisions and action items, AI Chat across past meetings and connected apps, workflow agents for sales and recruiting, and playback speeds from 0.5x to 3x with skip-silence on paid plans |
| 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 | Enterprise adds SSO and SCIM, admin controls over access policies and sharing, audit logging, and an opt-out from AI model training arranged through an account manager |
| MCP-ready | No | stated Yes |
| Deployment | Cloud (SaaS), Browser-based | Cloud (SaaS), Browser-based |
| Onboarding | Documentation and knowledge base | Documentation and knowledge base |
| Company size | Small and mid-sized, Enterprise | more entries Freelancers, Small and mid-sized, Enterprise |
| Integrations | Not stated | Zoom, Microsoft Teams, Google Meet, RingCentral, HubSpot, Salesforce, Microsoft Dynamics, Salesloft, Outreach, Slack, Notion, Asana, ClickUp, Jira, monday.com, Google Calendar, Microsoft Outlook, Google Drive, Dropbox, Microsoft OneDrive, SharePoint, Amazon S3, Snowflake, 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
Otter.ai
Strengths
Limitations
Plans
Cartesia
Otter.ai
What users say
Cartesia
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Otter.ai
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Where this comes from
Cartesia https://cartesia.ai · no check date recorded yet
Otter.ai https://otter.ai · checked against the official source on 2026-09-04
This table lists factual criteria taken from information the vendors publish themselves. For how we put it together, see the methodology.