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AssemblyAI vs Google Cloud Speech-to-Text 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

AssemblyAI
Ranking in Speech-To-Text Services
5th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
Google Cloud Speech-to-Text
Ranking in Speech-To-Text Services
2nd
Average Rating
7.8
Reviews Sentiment
6.2
Number of Reviews
8
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2025, in the Speech-To-Text Services category, the mindshare of AssemblyAI is 7.7%, down from 8.6% compared to the previous year. The mindshare of Google Cloud Speech-to-Text is 15.9%, down from 23.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Speech-To-Text Services Market Share Distribution
ProductMarket Share (%)
Google Cloud Speech-to-Text15.9%
AssemblyAI7.7%
Other76.4%
Speech-To-Text Services
 

Featured Reviews

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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.
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Top Industries

By visitors reading reviews
University
18%
Comms Service Provider
12%
Computer Software Company
12%
Manufacturing Company
7%
Computer Software Company
13%
Comms Service Provider
7%
Manufacturing Company
7%
Educational Organization
6%
 

Company Size

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

Questions from the Community

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What is your experience regarding pricing and costs for Google Cloud Speech-to-Text?
Our experience with pricing and licensing for Google Cloud Speech-to-Text is that we didn't have any other viable choices, so we cannot effectively evaluate if it's well-priced or badly priced.
What needs improvement with Google Cloud Speech-to-Text?
Google Cloud Speech-to-Text is not entirely accurate, so we have to correct for those errors in our AI software. It uses neural networks, and that stochastic processing is 70% to 75% accurate. It g...
What is your primary use case for Google Cloud Speech-to-Text?
I can answer questions about my experience with SQL Server as we are trying to capture reviews for SQL Server. We don't use the reporting services within SQL Server; we're using this for heavy-duty...
 

Overview

 

Sample Customers

Information Not Available
Home Depot, Paypal, Target, HSBC, McKesson
Find out what your peers are saying about Microsoft, Google, Deepgram and others in Speech-To-Text Services. Updated: August 2025.
868,275 professionals have used our research since 2012.