Best for
Best for apps and content that need expressive, emotionally aware speech and real-time voice interactions.
- Freelancers
- Small and mid-sized
- Enterprise
No tools match
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AI Voice & Speech Comparison
At a glance
Best for
Best for apps and content that need expressive, emotionally aware speech and real-time voice interactions.
Best for
Best for developers putting voice agents on real phone lines for support, lead qualification or scheduling.
Cataleo does not name a winner. Both statements come from the vendors themselves.
| Criterion | Hume AI | Vapi |
|---|---|---|
| Starting price | Free tier; paid from $3 / month Paid tiers are metered by monthly TTS characters and EVI minutes. | lower value From $0.05 / minute of calls Build plan, usage-based, plus $0.005 per SMS or chat message. Ten concurrent lines are included and further lines cost $10 / month each. Model provider costs for speech-to-text, the LLM and text-to-speech are passed through at cost, or nothing if you bring your own API keys. |
| Free trial | Free tier with 10,000 TTS characters and 5 minutes of EVI per month | Not stated |
| Commercial use | Yes | Yes, usage-based |
| Output | Expressive text-to-speech (Octave) and empathic speech-to-speech (EVI) | Voice agents for inbound and outbound phone calls, web voice, and SMS or chat |
| API | Yes | Yes, REST API, CLI and SDKs |
| Voice cloning | Yes, from about 15 seconds of audio | Not part of Vapi itself; voices come from connected providers such as ElevenLabs and Deepgram |
| Real-time use | Yes, Octave 2 streaming with latency as low as about 100ms | Yes, live inbound and outbound phone and web conversations at an average latency under 500 ms |
| Languages | Octave 2 in 11 languages | Depends on the providers chosen for a given assistant: automatic language detection and code-switching with Deepgram (100+ languages), Google STT (125+) or Gladia (110+), while Azure, OpenAI Whisper, Speechmatics and Talkscriber run one language at a time; on the voice side Vapi's own voices cover 40+ languages, Azure 140+ and ElevenLabs 30+. The languages an assistant may use have to be listed in its system prompt |
| Speech-to-speech and dubbing | Yes, the EVI empathic voice interface | Yes, a call runs as spoken conversation by chaining speech-to-text, a language model and text-to-speech, with natural turn-taking |
| Editing and controls | Voice design from text prompts (English), plus emotional expression from context | Assistants for a single prompt with tools, Squads for multi-assistant orchestration, tool calls into APIs and databases mid-conversation, plus testing and call observability |
| Consent and trust | Cloning requires filling out a legal agreement confirming you hold the rights or consent for the sample, and use is bound by Hume's Terms of Use and Ethical Guidelines | SOC 2, HIPAA and PCI compliance with SSO, OAuth and role-based access control; HIPAA is a $2,000 / month add-on and zero data retention $1,000 / month on both plans |
| MCP-ready | No | stated Yes |
| Deployment | Cloud (SaaS), Browser-based | Cloud (SaaS), Browser-based |
| Support | Community forum | more entries Email helpdesk, Community forum |
| Onboarding | Documentation and knowledge base | Documentation and knowledge base |
| Company size | more entries Freelancers, Small and mid-sized, Enterprise | Small and mid-sized, Enterprise |
| Integrations | Not stated | OpenAI, Anthropic, Groq, Deepgram, Gladia, ElevenLabs, Salesforce, HubSpot, Zapier, Slack, Google Workspace |
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
Hume AI
Strengths
Limitations
Vapi
Strengths
Limitations
Plans
Hume AI
Vapi
What users say
Hume AI
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Vapi
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Where this comes from
Hume AI https://www.hume.ai · no check date recorded yet
Vapi https://vapi.ai · checked against the official source on 2026-08-30
This table lists factual criteria taken from information the vendors publish themselves. For how we put it together, see the methodology.