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 teams transcribing real conversations across accents and languages, including where the audio may not leave their own infrastructure.
Cataleo does not name a winner. Both statements come from the vendors themselves.
| Criterion | Deepgram | Speechmatics |
|---|---|---|
| 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. | From $0.129 / hour of audio Pro tier rate, billed to the second with no commitment. Volume discounts of 20% apply automatically above 500 hours per month for each speech-to-text type, with further discounts above 24,000 hours a year. One credit equals one dollar. |
| Free trial | $200 in free credits to start, no credit card required | Free tier with $100 in credit, no card required |
| Commercial use | Yes, usage-based | Yes, usage-based |
| Output | Speech-to-text, text-to-speech and voice agents | Transcripts, translations and synthesised speech |
| API | Yes | Yes, batch and real-time speech-to-text, text-to-speech, translation and a management API |
| Hosting | Cloud, or self-hosted for in-region and in-house data control | Cloud, CPU or GPU containers, Kubernetes, on-premises virtual appliance, or on-device |
| Made in | Not stated | United Kingdom |
| 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 | No, the text-to-speech API ships four fixed voices, sarah and theo in British English and megan and jack in American English, and the documentation describes no custom or cloned voice; speed, pitch and emphasis are not adjustable either |
| Real-time use | Yes, real-time streaming speech-to-text and text-to-speech, plus batch processing | Yes, streaming transcription returned in under a second, alongside batch transcription of recorded files |
| Languages | 45+ languages for speech-to-text, with automatic language detection | 55+ languages and dialects with accent, dialect and code-switching coverage; translation across 69 language pairs |
| 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 | Audio translation across 69 language pairs, returned as translated transcript rather than dubbed audio; a Voice Agent API is in early access |
| 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 | Speaker diarization and identification, custom dictionary, language identification, background speech filtering, and speech intelligence for summaries, sentiment, topics and auto-chapters |
| Consent and trust | SOC 2 Type 1 and 2, HIPAA, GDPR, CCPA and PCI compliant; self-hosting for in-house data control | Data is not logged as standard; container, Kubernetes, virtual appliance and on-device deployment keep audio inside your own infrastructure |
| MCP-ready | stated Yes | No |
| Deployment | Cloud (SaaS), Browser-based, On-premise | Cloud (SaaS), Browser-based, On-premise |
| Support | Community forum | Email helpdesk |
| Onboarding | Documentation and knowledge base | Documentation and knowledge base |
| Company size | Small and mid-sized, Enterprise | Small and mid-sized, Enterprise |
| Integrations | Not stated | LiveKit, Pipecat, Vapi, Zapier |
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
Speechmatics
Strengths
Limitations
Plans
Deepgram
Speechmatics
What users say
Deepgram
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Speechmatics
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Where this comes from
Deepgram https://deepgram.com · checked against the official source on 2026-09-01
Speechmatics https://www.speechmatics.com · 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.