Best for
Best for turning documents, articles and audiobooks into natural-sounding audio.
- Freelancers
- Small and mid-sized
No tools match
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AI Voice & Speech Comparison
At a glance
Best for
Best for turning documents, articles and audiobooks into natural-sounding audio.
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 | Speechify | Vapi |
|---|---|---|
| Starting price | Free; paid tiers above The free tier has no commercial rights. | 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, without commercial rights | Not stated |
| Commercial use | Paid tiers | Yes, usage-based |
| Output | Natural text-to-speech for reading and listening, plus Speechify Studio for content | Voice agents for inbound and outbound phone calls, web voice, and SMS or chat |
| API | Yes, a text-to-speech API and a voice agents API on the developer platform | Yes, REST API, CLI and SDKs |
| Voice cloning | 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 | Not part of Vapi itself; voices come from connected providers such as ElevenLabs and Deepgram |
| Real-time use | 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 | Yes, live inbound and outbound phone and web conversations at an average latency under 500 ms |
| Languages | 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 | 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, dubbing in Speechify Studio | 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 | 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 | 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 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 | 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 | Email helpdesk | more entries Email helpdesk, Community forum |
| Onboarding | Documentation and knowledge base | Documentation and knowledge base |
| Company size | Freelancers, Small and mid-sized | Small and mid-sized, Enterprise |
| Integrations | Google Docs, Gmail, Outlook, Slack | more entries 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
Speechify
Strengths
Limitations
Vapi
Strengths
Limitations
Plans
Speechify
Vapi
What users say
Speechify
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Vapi
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Where this comes from
Speechify https://speechify.com · 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.