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Google Cloud Speech-to-Text vs Microsoft Azure Speech Service comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 20, 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

Google Cloud Speech-to-Text
Ranking in Speech-To-Text Services
2nd
Average Rating
7.8
Reviews Sentiment
7.4
Number of Reviews
7
Ranking in other categories
No ranking in other categories
Microsoft Azure Speech Service
Ranking in Speech-To-Text Services
1st
Average Rating
9.0
Reviews Sentiment
7.7
Number of Reviews
3
Ranking in other categories
Text-To-Speech Services (3rd)
 

Mindshare comparison

As of July 2025, in the Speech-To-Text Services category, the mindshare of Google Cloud Speech-to-Text is 16.6%, down from 24.4% compared to the previous year. The mindshare of Microsoft Azure Speech Service is 22.7%, down from 27.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Speech-To-Text Services
 

Featured Reviews

Venkatesh C S - PeerSpot reviewer
Easy to learn but needs to improve in the area of the multi-language support offered
Speaking about the tool's multi-language support, I can say that Google supports more languages than any other cloud provider. I have not experienced any difficulties or challenges integrating Google Cloud Speech-to-Text into our company's workflow. I would suggest others choose the model correctly. For example, you must use a telephony model whenever it is a phone call or something that has been recorded. You can just go to the console and create it first, and then you'll have the entire code on the right side so that you can directly use it in your workflow. The tool is easy to learn. Considering that the tool is not accurate when it comes to native language, especially if you are going for some regional languages in India where there are more than 100 languages, I feel that the tool doesn't support regional languages, but it supports the most widely spoken languages, so only certain areas are accurate. If the call has been placed on hold, there are some deviations. I rate the tool a seven out of ten.
Abhishek-Rana - PeerSpot reviewer
Offers ease of use and the availability of documentation is great
The simplicity impressed me the most. We just needed a single API key. The documentation was also great. I developed the AI application using Unity, a game engine that uses C#. Then, I searched online for instructions on how to use it. I found Microsoft's GitHub repository, which provided the necessary code for integrating the Speech Service into Unity with C#. The ease of use and the availability of documentation made the process smooth and impressed me the most. The documentation and boilerplate code [a template of code] was available, which I incorporated into my application with modifications. Initially, the code functioned so that when a button was clicked, the microphone would activate and recognize my speech. One of the benefits was the ability to see my spoken words visually on the screen as I spoke. For example, if I said "I am Abhishek Rana," I could see the sentence appear in real-time. When I stopped speaking, it automatically recognized the silence and ceased, sending the text for further processing. So, the real-time translation feature has helped me a lot.

Quotes from Members

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

Pros

"I would suggest Google Cloud Speech-to-Text to others, primarily for the speaker diarization feature."
"During the time I used Google Cloud Speech-to-Text, it was very impactful to the organization as it made our tasks much easier to perform."
"Google Cloud Speech-to-Text helps to keep my team more productive."
"The implementation is simple, and the outputs are very accurate and crisp."
"You could dictate a bunch of stuff, and then you can get ChatGPT or something to clean it up."
"The product's initial setup phase is very easy."
"We've found the solution scales well."
"Overall, in my opinion, the transcription service is rated as ten out of ten."
"The documentation and boilerplate code [a template of code] was available."
"Useful text-to-speech and speech-to-text features."
 

Cons

"Given the numerous accents and dialects in India, Google Cloud Speech-to-Text could improve its handling of Indian accents."
"The tool's telephony model does not produce accurate results."
"The multilanguage support for the chatbot needs to be better."
"Google Cloud Speech-to-Text's trial experience could be improved by adding some extra minutes in the trial version."
"Since it is a paid service, it is very difficult to access if a user does not have the credentials. Also, we have to create the API keys and secret keys repeatedly to maintain authentication and privacy."
"The one thing that I find is when I often use specialized terms, and the solution doesn't know them."
"Sometimes, speaker diarization is affected, leading to incorrect speaker identification."
"It can improve based on the native language."
"The product is limited when it comes to integrating with different platforms and using many other APIs."
"Lacks a voice recording option."
 

Pricing and Cost Advice

"The tool's cost is also very low. The tool is cheaply priced. It charges around 0.13 INR per call with a duration of five minutes."
"Cost-wise, I would say it is all-inclusive in the payment made to Google."
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Top Industries

By visitors reading reviews
Computer Software Company
13%
Comms Service Provider
7%
University
7%
Manufacturing Company
7%
Computer Software Company
15%
Financial Services Firm
8%
Government
7%
Educational Organization
6%
 

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 Speech-to-Text?
When scaling Google Cloud Speech-to-Text for public use, it may incur some charges, which is reasonable for a service. It would be beneficial if a free version were available for students who want ...
What needs improvement with Google Cloud Speech-to-Text?
The major challenge with Google Cloud Speech-to-Text is that not every call is clear. Our representative may be in a silent environment, but the client can be anywhere. We need to manage background...
What is your primary use case for Google Cloud Speech-to-Text?
The main use cases involve clients handling various calls day-to-day who have a quality analyzer or auditor wanting to verify what representatives spoke with specific clients. This piece of technol...
What is your experience regarding pricing and costs for Microsoft Azure Speech Service?
The product is included and does not incur any additional costs. Pricing information is not available at the moment.
What needs improvement with Microsoft Azure Speech Service?
The product is limited when it comes to integrating with different platforms and using many other APIs. The marketplace is very limited and it's difficult to implement solutions in it. Enhancing fe...
What is your primary use case for Microsoft Azure Speech Service?
I use Microsoft Azure Speech Service ( /products/microsoft-azure-speech-service-reviews ) for communication between different countries. It facilitates communication via emails, documents, and temp...
 

Also Known As

No data available
Azure Speech Service, MS Azure Speech Service
 

Overview

 

Sample Customers

Home Depot, Paypal, Target, HSBC, McKesson
KPMG
Find out what your peers are saying about Google Cloud Speech-to-Text vs. Microsoft Azure Speech Service and other solutions. Updated: June 2025.
860,592 professionals have used our research since 2012.