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
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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 organisations that want meetings, email and messages searchable in one place, and metrics on how the meetings themselves are being run.
Cataleo does not name a winner. Both statements come from the vendors themselves.
| Criterion | Google Cloud Text-to-Speech | Read AI |
|---|---|---|
| Starting price | lower value 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. | Free plan; Pro $19.75 / user / month Pro is $15 per user per month billed annually. Enterprise is $29.75 monthly or $22.50 annually, Enterprise+ $39.75 monthly or $29.75 annually and requires five or more licences. Every plan is measured on 30 meetings a month. |
| 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 plan with 5 meeting transcripts a month |
| Output | Synthesised speech, single request, streaming or long-form, as LINEAR16, MP3, OGG_OPUS, ALAW, MULAW, PCM or M4A | Meeting reports with summary, topics, action items, key questions and a speaker-separated transcript |
| API | Yes, the Cloud Text-to-Speech API with client libraries and a command-line path | Yes, plus an MCP server and Claude and ChatGPT connectors |
| Languages | Google's own figure is 220+ voices across 40+ languages | Meeting reports in 16+ languages |
| Hosting | Cloud (Google Cloud), with a global endpoint and regional endpoints | Cloud, with Windows, macOS, Android and iOS apps and a Chrome extension |
| 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, Read AI transcribes, summarises and measures meetings and does not synthesise or clone voices |
| Real-time use | Yes, bidirectional streaming synthesis for live use, alongside ordinary single requests and a separate long-form path for large documents | Yes, an in-meeting dashboard with live notes, transcription, summaries and meeting metrics as the call runs, on Zoom, Microsoft Teams and Google Meet |
| 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 | No dubbing or speech-to-speech translation |
| 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 | Meeting reports with summary, topics, action items and key questions, a meeting coach scoring talking speed, filler words, bias and charisma with coaching trends, audio and video playback with highlights from the Enterprise plan, Ask Read search across meetings, email and messages with direct access to Anthropic and OpenAI models, audio and video uploads, and workspace rules controlling which meetings Read joins |
| 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 | Custom assistant branding, naming on all platforms and a logo on Zoom, plus workspace distribution and sharing rules; Enterprise+ adds SAML SSO, SCIM provisioning, domain capture, a custom data retention policy and HIPAA compliance support |
| MCP-ready | No | stated Yes |
| Deployment | Cloud (SaaS), Browser-based | Cloud (SaaS), Browser-based |
| Support | Not stated | Email helpdesk |
| Onboarding | Documentation and knowledge base | more entries Documentation and knowledge base, Guided onboarding |
| Company size | Freelancers, Small and mid-sized, Enterprise | Freelancers, Small and mid-sized, Enterprise |
| Integrations | Not stated | Zoom, Microsoft Teams, Google Meet, HubSpot, Salesforce, Jira, Confluence, Notion, Asana, Slack, Zapier, ChatGPT, Claude |
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
Read AI
Strengths
Limitations
Plans
Google Cloud Text-to-Speech
Read AI
What users say
Google Cloud Text-to-Speech
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Read AI
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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
Read AI https://www.read.ai · checked against the official source on 2026-09-16
This table lists factual criteria taken from information the vendors publish themselves. For how we put it together, see the methodology.