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Google Cloud Text-to-Speech Reviews

Vendor: Google
4.2 out of 5
Badge Leader

What is Google Cloud Text-to-Speech?

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Google Cloud Text-to-Speech mindshare

As of May 2026, the mindshare of Google Cloud Text-to-Speech in the Text-To-Speech Services category stands at 15.6%, down from 28.5% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Text-To-Speech Services Mindshare Distribution
ProductMindshare (%)
Google Cloud Text-to-Speech15.6%
Microsoft Azure Speech Service17.9%
Amazon Polly15.7%
Other50.8%
Text-To-Speech Services
 
 
Key learnings from peers
Last updated Mar 27, 2026

Valuable Features

Room for Improvement

Pricing

Top industries

By visitors reading reviews
Financial Services Firm
14%
Educational Organization
11%
Comms Service Provider
8%
Computer Software Company
7%
Energy/Utilities Company
7%
Retailer
7%
Media Company
6%
Manufacturing Company
5%
Construction Company
5%
Healthcare Company
4%
Real Estate/Law Firm
4%
Logistics Company
3%
University
3%
Non Profit
3%
Performing Arts
3%
Hospitality Company
3%
Recreational Facilities/Services Company
2%
Government
2%
Transportation Company
2%
Wholesaler/Distributor
1%
Legal Firm
1%
Marketing Services Firm
1%
Training & Coaching Company
1%

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Google Cloud Text-to-Speech Reviews Summary
Author infoRatingReview Summary
Principal Architect & NLP Python Developer at a computer software company with 1-10 employees4.0Google Cloud Text-to-Speech offers the best accuracy we've found, despite frequent cloud errors and poor support. It's effective on local machines, sounds natural, but debugging issues is costly and frustrating. Still, it's better than competitors like IBM and Nuance.
IT Manager at Pluris Midia5.0I use Google Cloud Text-to-Speech for our IVR systems to vocalize text from the API to clients. Its precision is unmatched, providing perfect voicing. However, it needs more voice options in Brazil compared to other countries.
SCRUM Master at a retailer with 10,001+ employees3.5I use this solution for multi-language chatbot development and appreciate its stable translation, better than Microsoft. Setup is easy. However, I want smarter multi-language chatbot skills and improved sentiment analysis. My overall rating is seven out of ten.