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Google Cloud Text-to-Speech vs IBM Watson Text To Speech comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Google Cloud Text-to-Speech
Ranking in Text-To-Speech Services
2nd
Average Rating
8.4
Reviews Sentiment
5.2
Number of Reviews
3
Ranking in other categories
No ranking in other categories
IBM Watson Text To Speech
Ranking in Text-To-Speech Services
5th
Average Rating
8.0
Reviews Sentiment
2.5
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2025, in the Text-To-Speech Services category, the mindshare of Google Cloud Text-to-Speech is 23.9%, down from 32.2% compared to the previous year. The mindshare of IBM Watson Text To Speech is 1.3%, down from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Text-To-Speech Services Market Share Distribution
ProductMarket Share (%)
Google Cloud Text-to-Speech23.9%
IBM Watson Text To Speech1.3%
Other74.8%
Text-To-Speech Services
 

Featured Reviews

Rafael Keller - PeerSpot reviewer
A stable solution that is used to vocalize the text written on the API to the client
We use Google Cloud Text-to-Speech when we have an IVR and need to say something written on the API through the IVR. For example, if I'm on the IVR and need to say something to the customer that is written on the API, I need to vocalize this text. I use Google Cloud Text-to-Speech to take this text…
SJ
High-quality voice output improves user engagement with text-to-speech solutions
Watson's voice quality is exceptional, and the SSML tags for speed and pitch control are particularly useful. The documentation is comprehensive, making it easy to understand and integrate with our Node.js-based platform. One suggestion would be to add more voices to IBM Watson Text To Speech. This would be beneficial for pushing new voices as many customers are seeking specific voices for particular use cases, such as movie trailers or news reading.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Precision is the most valuable feature of Google Cloud Text-to-Speech because the text is perfectly voiced."
"What has gotten better with Google Cloud Text-to-Speech is their stuff sounds so natural, it really brings a smile to my face."
"It's not complex to set up."
"Watson's voice quality is exceptional, and the SSML tags for speed and pitch control are particularly useful."
 

Cons

"We had some problems with Dialogflow."
"Google Cloud Text-to-Speech is 100 out of 100 when it works, and when it doesn't work, which is fairly often, it gets a zero."
"Google Cloud Text-to-Speech has just one female voice and one male voice in Brazil, while it has a lot of voices in other countries."
"Matching these competitive prices would be advantageous."
 

Pricing and Cost Advice

"I rate Google Cloud Text-to-Speech three out of ten for pricing."
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867,497 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
12%
Financial Services Firm
10%
Educational Organization
9%
Comms Service Provider
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Google Cloud Text-to-Speech?
Our experience is we didn't have any other choice. We can't really say that it's well-priced or badly priced. We just didn't have another choice as far as we were concerned.
What needs improvement with Google Cloud Text-to-Speech?
The support is inadequate. We are dealing with them on our development talk today. There's a lot of finger-pointing going on in terms of whose problem it is. Moving our stuff up to the Google Cloud...
What is your primary use case for Google Cloud Text-to-Speech?
We use Speech-to-Text and Text-to-Speech to be able to talk to our users. We have an AI meaning engine that back-ends that. Once we get the speech, we can tell what it means. That's our use case. W...
What needs improvement with IBM Watson Text To Speech?
There aren't many improvements needed; however, adding more voices would be beneficial. Regarding pricing, Google or Amazon Polly offer services at $16 per million characters, while IBM Watson Text...
What is your primary use case for IBM Watson Text To Speech?
We use IBM Watson Text To Speech extensively with our systems. IBM Watson Text To Speech provides exceptional functionality because many of our customers are using it for conversational AI. They ar...
What advice do you have for others considering IBM Watson Text To Speech?
The overall rating for IBM Watson Text To Speech is 8 out of 10.
 

Overview

 

Sample Customers

Home Depot, Paypal, Target, HSBC, McKesson
American Airlines, UBank, Bitly, Eurobits
Find out what your peers are saying about Amazon Web Services (AWS), Google, Microsoft and others in Text-To-Speech Services. Updated: August 2025.
867,497 professionals have used our research since 2012.