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 turning documents, articles and audiobooks into natural-sounding audio.
Cataleo does not name a winner. Both statements come from the vendors themselves.
| Criterion | Cartesia | Speechify |
|---|---|---|
| Starting price | Free tier; Pro from $5 / month Usage-based credits and agent minutes. Pro adds a commercial-use license and instant voice cloning. | Free; paid tiers above The free tier has no commercial rights. |
| Free trial | Free tier with 20,000 credits per month | Free tier, without commercial rights |
| Commercial use | Paid | Paid tiers |
| Output | Low-latency real-time speech, instant clone from around three seconds | Natural text-to-speech for reading and listening, plus Speechify Studio for content |
| API | Yes | Yes, a text-to-speech API and a voice agents API on the developer platform |
| Voice cloning | Yes, instant cloning from around three seconds, plus a Pro clone trained on 30 minutes or more of audio | Yes, voice cloning in Speechify Studio, and zero-shot cloning on the developer platform that turns a short reference clip into a reusable voice ID |
| Real-time use | Yes, real-time text-to-speech (Sonic), built for live voice agents | Yes, the developer models are streaming-native with a claimed time to first byte under 300ms, and a separate voice agents API adds tools, memory and telephony |
| Languages | Yes, Sonic 3.6 covers 44 languages natively, chosen per request with a language parameter and regional locale variants | 1,000+ voices in 60+ languages in the reader; the developer models cover six validated locales, namely US English, German, Mexican Spanish, French, Italian and Brazilian Portuguese |
| 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, dubbing in Speechify Studio |
| 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 | Playback up to 4.5x with synchronized highlighting, plus captions in Studio and SSML emotion control on the developer models across neutral, calm, cheerful, energetic and sad |
| 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 | Cloning is consent-first: a voice is built from a consented reference clip, and the company publishes its policy on keeping cloned voices out of election misinformation |
| Deployment | Cloud (SaaS), Browser-based | Cloud (SaaS), Browser-based |
| Support | Not stated | Email helpdesk |
| Onboarding | Documentation and knowledge base | Documentation and knowledge base |
| Company size | Small and mid-sized, Enterprise | Freelancers, Small and mid-sized |
| Integrations | Not stated | Google Docs, Gmail, Outlook, Slack |
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
Speechify
Strengths
Limitations
Plans
Cartesia
Speechify
What users say
Cartesia
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Speechify
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Where this comes from
Cartesia https://cartesia.ai · no check date recorded yet
Speechify https://speechify.com · 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.