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AssemblyAI vs Speechmatics 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
8.2
Reviews Sentiment
5.3
Number of Reviews
5
Ranking in other categories
No ranking in other categories
Speechmatics
Ranking in Speech-To-Text Services
7th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2026, in the Speech-To-Text Services category, the mindshare of AssemblyAI is 6.4%, down from 8.4% compared to the previous year. The mindshare of Speechmatics is 5.1%, up from 4.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Speech-To-Text Services Mindshare Distribution
ProductMindshare (%)
AssemblyAI6.4%
Speechmatics5.1%
Other88.5%
Speech-To-Text Services
 

Featured Reviews

Shrimanta Satpati - PeerSpot reviewer
Consultant at a tech vendor with 10,001+ employees
Automated multilingual call transcription has transformed accuracy and reduced manual effort
The best features AssemblyAI offers are its blazing fast transcribing skills and accurate results. It also has the capability of diarization, as well as transcribing in multiple different languages, both in foreign and Indic languages. I particularly value the accurate transcription of the language that the user provides as input and getting the best output without any kind of noise or silence. Automatic silence removal and voice activity detection are the best features of AssemblyAI that I appreciate in my daily use. The outputs are really accurate. AssemblyAI already cares for the overall grammar, syntax, and the different nuances of the particular speakers. I believe the accuracy part has improved significantly from the previous versions that were available and should continue to improve further to become the best product in the market. There was a saving of about 40 to 50% in transcription of audio analytics calls because previously, it was all done by humans, which could take days of effort and cost. This has significantly reduced to a great amount. We tested with Deepgram and AWS transcription service that is already available in the market, and then we switched over to AssemblyAI.
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Top Industries

By visitors reading reviews
University
24%
Comms Service Provider
14%
Wholesaler/Distributor
14%
Manufacturing Company
5%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise1
Large Enterprise2
No data available
 

Questions from the Community

What needs improvement with AssemblyAI?
AssemblyAI could be improved because when we have different accents on the same call, it usually fails, especially when we have American, Asian, and Latin American speakers on the same call, making...
What is your primary use case for AssemblyAI?
My main use case for AssemblyAI is meeting and interview transcriptions. We are a culture operating system, so we track organization culture. Our bot joins the meetings of employees, and we convert...
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Overview

Find out what your peers are saying about Deepgram, Microsoft, Google and others in Speech-To-Text Services. Updated: June 2026.
900,196 professionals have used our research since 2012.