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 developers and creators who want expressive text-to-speech and quick voice cloning, including open-source models.
Cataleo does not name a winner. Both statements come from the vendors themselves.
| Criterion | Cartesia | Fish Audio |
|---|---|---|
| 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; Plus from $15 / month Credit-based. Plus adds 250,000 credits per month, commercial use and API access; 33% off with annual billing. |
| Free trial | Free tier with 20,000 credits per month | Free tier with 8,000 credits per month (about 7 minutes) |
| Commercial use | Paid | Not stated |
| Output | Low-latency real-time speech, instant clone from around three seconds | Text-to-speech, speech-to-text and voice cloning (S2.1 Pro model) |
| API | Yes | Yes, REST API and SDKs |
| Voice cloning | Yes, instant cloning from around three seconds, plus a Pro clone trained on 30 minutes or more of audio | Yes, from about 15 seconds of audio |
| Real-time use | Yes, real-time text-to-speech (Sonic), built for live voice agents | Yes, real-time with low latency |
| Languages | Yes, Sonic 3.6 covers 44 languages natively, chosen per request with a language parameter and regional locale variants | 30+ languages |
| 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 | Yes, a Voice Changer transforms existing audio into a different voice |
| 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 | Emotion tags and effects such as angry, sad, excited, whispering, laughing and pauses |
| 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 | Professional clones require a live voiceprint check: the speaker reads a randomised passage that is matched against the training audio. Instant clones are unverified. The terms forbid using another person's voice without permission, with a voice ownership dispute process |
| Deployment | Cloud (SaaS), Browser-based | Cloud (SaaS), Browser-based |
| Support | Not stated | Email helpdesk, Community forum |
| Onboarding | Documentation and knowledge base | Documentation and knowledge base |
| Company size | Small and mid-sized, Enterprise | Freelancers, Small and mid-sized |
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
Fish Audio
Strengths
Limitations
Plans
Cartesia
Fish Audio
What users say
Cartesia
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Fish Audio
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Where this comes from
Cartesia https://cartesia.ai · no check date recorded yet
Fish Audio https://fish.audio · no check date recorded yet
This table lists factual criteria taken from information the vendors publish themselves. For how we put it together, see the methodology.