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AssemblyAI vs Rev.ai 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
9.0
Reviews Sentiment
8.4
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Rev.ai
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 January 2026, in the Speech-To-Text Services category, the mindshare of AssemblyAI is 6.4%, down from 9.5% compared to the previous year. The mindshare of Rev.ai is 4.1%, up from 3.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Speech-To-Text Services Market Share Distribution
ProductMarket Share (%)
AssemblyAI6.4%
Rev.ai4.1%
Other89.5%
Speech-To-Text Services
 

Featured Reviews

Ishu Patil - PeerSpot reviewer
Python Developer and Application Analysts at All Solutions
Automated call reviews have saved time and protect sensitive customer information
AssemblyAI can be improved by addressing accuracy, which is the aspect they can improve in noisy audio and overlapping speakers because that's where transcripts sometimes lose clarity. The speaker diarizations could be more consistent when multiple people talk at the same time, and the summarization could be more customizable, such as letting us control the format, bullets, action times, or departmental wise. Lastly, better monitoring tools and clearer error messages would help in production scaling. Accuracy in noisy audios must be improved, overlapping speaker handling must be improved, and also more stable diarizations. Support for more languages plus accents would also make us able to boost our work more effortlessly, and custom vocabulary boost would better support company-specific terms, product names, and technical words.
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Top Industries

By visitors reading reviews
University
18%
Comms Service Provider
16%
Manufacturing Company
8%
Insurance Company
8%
No data available
 

Company Size

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

Comparisons

 

Overview

Find out what your peers are saying about Deepgram, Microsoft, Google and others in Speech-To-Text Services. Updated: January 2026.
881,082 professionals have used our research since 2012.