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Deepgram vs Google Cloud Text-to-Speech comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 6, 2025

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

Deepgram
Ranking in Text-To-Speech Services
4th
Average Rating
8.0
Reviews Sentiment
8.1
Number of Reviews
5
Ranking in other categories
Speech-To-Text Services (3rd)
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
 

Mindshare comparison

As of October 2025, in the Text-To-Speech Services category, the mindshare of Deepgram is 9.4%, up from 1.6% compared to the previous year. The mindshare of Google Cloud Text-to-Speech is 23.3%, down from 30.9% 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-Speech23.3%
Deepgram9.4%
Other67.3%
Text-To-Speech Services
 

Featured Reviews

Ariel Lindenfeld - PeerSpot reviewer
Excellent quality, great speech-to-text recognition, and responsive support
Two things come to mind for improvement. Maybe they have fixed these, or maybe there is something new, and we haven't implemented it yet. One improvement could be dual-channel audio. We've had issues in the past where it generates the transcript, and a lot of the text is duplicated. I understand why it would happen. It's an audio file with more than one channel of the same speaker, which is what may cause the duplicated text. That said, it would be great either to have a way for Deepgram to realize that it's basically the same audio on two channels and only transcribe one of them or at least give us a warning that it's happening. We've found workarounds, however, a better solution from Deepgram's side would be great. The other issue comes up when some changes are made on their end, and we want to test them. We've had one to two instances where they tell us that we have access, and we try to test something out, and it turns out we don't. When that happens, then they have to fix something on their end. It's not a big deal. We have a Slack channel with them where we can quickly touch base. We let them know, and they will get back to us and fix the access. It's not something we're doing very often.
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…

Quotes from Members

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

Pros

"The features that I have been using in the tool have been very stable."
"The recognition of industry-specific terminology phrases and abbreviations is really important for us. We were able to get a good level of industry specificity with Deepgram."
"The solution's Speech-to-Text conversion feature is really awesome."
"The speed of the solution for transcribing videos is good."
"Deepgram is able to handle large volumes of audio data without compromising accuracy."
"Precision is the most valuable feature of Google Cloud Text-to-Speech because the text is perfectly voiced."
"It's not complex to set up."
"What has gotten better with Google Cloud Text-to-Speech is their stuff sounds so natural, it really brings a smile to my face."
 

Cons

"The solution does not properly identify the number of speakers."
"I would like it to be more accurate."
"The area of live transcription could be improved. Sometimes, Deepgram's WebSocket is disposed due to redundancy."
"We've had issues in the past where it generates the transcript, and a lot of the text is duplicated."
"Deepgram is currently restricted to only the English variants, but it should include other languages, such as German or French."
"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."
 

Pricing and Cost Advice

"When using Deepgram, one needs to pay for the hours or minutes for which the transcription is needed."
"The solution’s pricing is cheap."
"Deepgram is a cheap solution."
"The pricing is moderate."
"I rate Google Cloud Text-to-Speech three out of ten for pricing."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Computer Software Company
11%
Comms Service Provider
10%
Retailer
10%
Computer Software Company
13%
Financial Services Firm
10%
Educational Organization
10%
Comms Service Provider
8%
 

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 Deepgram?
The pricing was very good. Although the competitors also would have saved us a lot of money, we were mainly looking for the right level of quality of the transcript.
What needs improvement with Deepgram?
Two things come to mind for improvement. Maybe they have fixed these, or maybe there is something new, and we haven't implemented it yet. One improvement could be dual-channel audio. We've had issu...
What is your primary use case for Deepgram?
We primarily use the solution for transcribing speech to text. We use it to record phone calls and meetings and then transcribe them.
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...
 

Overview

 

Sample Customers

Information Not Available
Home Depot, Paypal, Target, HSBC, McKesson
Find out what your peers are saying about Deepgram vs. Google Cloud Text-to-Speech and other solutions. Updated: September 2025.
868,759 professionals have used our research since 2012.