Best for
Best for developers on Google Cloud who need speech synthesis in an application and want to pick their own quality and price point.
- Freelancers
- Small and mid-sized
- Enterprise
No tools match
Press / to search, arrow keys to move, Enter to open
AI Voice & Speech Comparison
At a glance
Best for
Best for developers on Google Cloud who need speech synthesis in an application and want to pick their own quality and price point.
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 | Google Cloud Text-to-Speech | Speechmatics |
|---|---|---|
| Starting price | Free tier, then from $4 per 1 million characters Pay-as-you-go by characters sent for synthesis, counting spaces, newlines and most SSML tags, with a free monthly allowance per voice type. Standard and WaveNet $4 per 1 million characters, free to 4 million a month. Neural2 and Polyglot $16, Chirp 3 HD $30 and Studio $160, each free to 1 million a month. Instant Custom Voice $60 with no free allowance. Gemini-TTS is billed per token instead, from $0.50 per 1 million input text tokens and $10 per 1 million output audio tokens, also with no free allowance. | lower value 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 | Free monthly allowance: 4 million characters on Standard and WaveNet voices, 1 million on Chirp 3 HD, Neural2, Polyglot and Studio voices | Free tier with $100 in credit, no card required |
| Commercial use | Not stated | Yes, usage-based |
| Output | Synthesised speech, single request, streaming or long-form, as LINEAR16, MP3, OGG_OPUS, ALAW, MULAW, PCM or M4A | Transcripts, translations and synthesised speech |
| API | Yes, the Cloud Text-to-Speech API with client libraries and a command-line path | Yes, batch and real-time speech-to-text, text-to-speech, translation and a management API |
| Languages | Google's own figure is 220+ voices across 40+ languages | 55+ languages and dialects for speech-to-text; translation across 69 language pairs |
| Hosting | Cloud (Google Cloud), with a global endpoint and regional endpoints | Cloud, CPU or GPU containers, Kubernetes, on-premises virtual appliance, or on-device |
| Made in | Not stated | United Kingdom |
| Voice cloning | Yes, Chirp 3 Instant Custom Voice builds a personal voice model from a short high-quality recording, usable afterwards for streaming and long-form synthesis. Access is restricted to allow-listed customers and is arranged through the sales team rather than self-service. A cloning key created for en-US can also speak German, US and European Spanish, Canadian and European French and Brazilian Portuguese | 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, bidirectional streaming synthesis for live use, alongside ordinary single requests and a separate long-form path for large documents | Yes, streaming transcription returned in under a second, alongside batch transcription of recorded files |
| Speech-to-speech and dubbing | No. This service synthesises speech from text only. Recognition is the separate Speech-to-Text service and translation the separate Translation AI service | 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 | SSML, pace control from 0.25x to 2x, experimental pause tags and custom pronunciation in IPA or X-SAMPA phonetic encoding, device profiles that tune output for the playback hardware, and text-based prompting on the Gemini-TTS models, which take a written description of the delivery rather than markup | Speaker diarization and identification, custom dictionary, language identification, background speech filtering, and speech intelligence for summaries, sentiment, topics and auto-chapters |
| Consent and trust | Instant Custom Voice sits behind an allow list that is granted by the sales team, and enrolment requires the speaker to record a consent statement that Google supplies in the language being cloned, in English: "I am the owner of this voice and I consent to Google using this voice to create a synthetic voice model." The recording is part of the enrolment, so a voice cannot be cloned from found audio | Data is not logged as standard; container, Kubernetes, virtual appliance and on-device deployment keep audio inside your own infrastructure |
| Deployment | Cloud (SaaS), Browser-based | more entries Cloud (SaaS), Browser-based, On-premise |
| Support | Not stated | Email helpdesk |
| 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 | 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
Google Cloud Text-to-Speech
Strengths
Limitations
Speechmatics
Strengths
Limitations
Plans
Google Cloud Text-to-Speech
Speechmatics
What users say
Google Cloud Text-to-Speech
No reviews yet. Be the first to review this tool. Every review is checked for fairness before it appears, and the vendor cannot have one removed.
Speechmatics
No reviews yet. Be the first to review this tool. Every review is checked for fairness before it appears, and the vendor cannot have one removed.
Where this comes from
Google Cloud Text-to-Speech https://cloud.google.com/text-to-speech · checked against the official source on 2026-09-13
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.