Best for
Best for developers building real-time speech-to-text, text-to-speech and voice agents through an API.
- 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 real-time speech-to-text, text-to-speech and voice agents through an API.
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 | Deepgram | Speechify |
|---|---|---|
| Starting price | Usage-based, pay-as-you-go No minimums and no expiry. Speech-to-text from $0.0048 / minute on Nova-3 monolingual streaming, text-to-speech from $0.0150 / 1,000 characters on Aura-1, and the Voice Agent API from $0.056 / minute. | Free; paid tiers above The free tier has no commercial rights. |
| Free trial | $200 in free credits to start, no credit card required | Free tier, without commercial rights |
| Commercial use | Yes, usage-based | Paid tiers |
| Output | Speech-to-text, text-to-speech and voice agents | 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 |
| Hosting | Cloud, or self-hosted for in-region and in-house data control | Not stated |
| Voice cloning | No, the catalogue is fixed: 40+ prebuilt Aura-2 voices across English, Spanish, Dutch, French, German, Italian and Japanese, with no cloning or custom-voice product on the price list | 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 streaming speech-to-text and text-to-speech, plus batch processing | 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 | 45+ languages for speech-to-text, with automatic language detection | 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 | No dubbing or translation product. Speech-to-speech runs as a pipeline through the Voice Agent API, which handles listening, thinking and speaking with configurable speech-to-text models, LLM providers and voices, plus function calling mid-conversation | Yes, dubbing in Speechify Studio |
| Editing and controls | Voice selection, plus encoding, bit rate, container and sample rate on the output, streamed audio and callbacks. Aura-2 is built to read naturally without SSML markup, and speed and style can be changed mid-conversation without restarting the session | 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 | SOC 2 Type 1 and 2, HIPAA, GDPR, CCPA and PCI compliant; self-hosting for in-house data control | 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 |
| MCP-ready | stated Yes | No |
| Deployment | more entries Cloud (SaaS), Browser-based, On-premise | Cloud (SaaS), Browser-based |
| Support | Community forum | 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
Deepgram
Strengths
Limitations
Speechify
Strengths
Limitations
Plans
Deepgram
Speechify
What users say
Deepgram
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Speechify
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Where this comes from
Deepgram https://deepgram.com · checked against the official source on 2026-09-01
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.