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AssemblyAI

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161 reviews
  • 2 profiles
  • 3 categories
Average star rating
4.6
Serving customers since
2017

Profile Name

Star Rating

119
39
3
0
0

AssemblyAI Reviews

Review Filters
Profile Name
Star Rating
119
39
3
0
0
AG
aman g.
08/14/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

AssemblyAI Makes Speech and Audio Projects Easy and Time-Saving

I like that AssemblyAI is easy to use and works well for speech and audio. It saves time and makes things easier to build and manage.
Viraj K.
VK
Viraj K.
Senior Performance Marketer |25 Cr + Ads Spends| E-Com + Leads + Branding || Facebooks Ads || Google Ads || Linkedin Ads || GTM || GA4 || Programmatic Ad || Data Analysis || Shopify || Media Planning ||
08/13/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

Developer-Friendly Platform Focused on Real-World Applications

Developer friendly platform,focus on real world application
JS
Jessica S.
08/13/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

Robust Call Analytics Producing Accurate Text That Deepen Understanding of Customer Needs

I really like the robust insights and call analytics that this tool provides which leads to greater understanding of the customer needs and helps improve the behavior of employees when responding to customers.

About

Contact

HQ Location:
San Francisco, California

Social

@AssemblyAI

What is AssemblyAI?

AssemblyAI is a leading provider of audio intelligence technology, specializing in automatic speech recognition (ASR) and transcription services. Their platform offers developers and businesses powerful APIs to convert audio to text with high accuracy, enabling applications in various fields such as content creation, customer service, and accessibility. With features like real-time transcription, speaker identification, and sentiment analysis, AssemblyAI aims to enhance the way organizations process and utilize audio data. For more information, visit their website at https://www.assemblyai.com.

Details

Year Founded
2017