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AssemblyAI vs Gladia 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
3rd
Average Rating
8.6
Reviews Sentiment
5.2
Number of Reviews
16
Ranking in other categories
No ranking in other categories
Gladia
Ranking in Speech-To-Text Services
9th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2026, in the Speech-To-Text Services category, the mindshare of AssemblyAI is 6.8%, down from 8.3% compared to the previous year. The mindshare of Gladia is 6.6%, up from 4.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Speech-To-Text Services Mindshare Distribution
ProductMindshare (%)
AssemblyAI6.8%
Gladia6.6%
Other86.6%
Speech-To-Text Services
 

Featured Reviews

Leen Batta - PeerSpot reviewer
Full Stack Developer at a university with 10,001+ employees
Automated workflows have transformed classroom videos into instant interactive study content
While AssemblyAI performs exceptionally well, there are a few areas where the developer experience could be further improved. First, regarding native video file support, currently, developers must write custom back-end logic to extract the audio track from video files locally before uploading. If AssemblyAI supported direct native video uploads and handled the audio extraction internally on their servers, it would simplify our back-end architecture. Native real-time status updates could also be improved because while the API is highly stable, writing custom asynchronous polling loops to check transcription status adds boilerplate code. Lastly, the queue latency for micro-files could be optimized because we noticed some initial queue or warm-up latency when transcribing very short audio files under one minute.
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Top Industries

By visitors reading reviews
University
34%
Outsourcing Company
11%
Comms Service Provider
10%
Wholesaler/Distributor
10%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise3
Large Enterprise7
No data available
 

Questions from the Community

What needs improvement with AssemblyAI?
AssemblyAI should definitely cater to multiple different languages of the world as well as in India. There are multiple different Indic languages and dialects available, and AssemblyAI should cater...
What is your primary use case for AssemblyAI?
I use AssemblyAI for audio transcription in multiple different languages. It has the capability of translating and transcribing into multiple different languages of both India as well as in the wor...
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Comparisons

 

Overview

Find out what your peers are saying about Deepgram, Microsoft, AssemblyAI and others in Speech-To-Text Services. Updated: July 2026.
904,146 professionals have used our research since 2012.