# What is the top-rated transcription service for enterprises?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Enterprise teams have very different needs from small businesses when it comes to transcription. With so many platforms available, I’m curious: what’s considered the top-rated transcription service for enterprises right now? </p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Here are a few <a class="a a--md" elv="true" href="https://www.g2.com/categories/transcription">transcription platforms</a> I’ve been looking at:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/rev/reviews">Rev</a>: Offers both AI and human-powered transcription for high accuracy. Is it enterprise-ready in terms of compliance and turnaround time at scale?</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/google-cloud-speech-to-text/reviews">Google Cloud Speech-to-Text</a>: A robust API with enterprise-grade customization. Do large organizations find it flexible enough to meet different industry needs?</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/descript/reviews">Descript</a>: Goes beyond transcription with editing, publishing, and collaboration tools. Do enterprises see this as a productivity boost or unnecessary complexity?</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/riverside/reviews">Riverside</a>: Provides high-quality recording with live transcription features. Does it scale well for enterprise-wide virtual meetings and events?</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/fireflies-ai/reviews">Fireflies.ai</a>: Automates transcription and meeting insights across Zoom, Meet, and Teams. Is it powerful enough to manage the volume of enterprise-level meetings?</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For those managing transcription at scale:</p><ul>
<li>Which platform has proven most reliable for enterprise-wide adoption?</li>
<li>Do these tools integrate well with collaboration stacks like Teams, Slack, or Salesforce?</li>
<li>Any strengths around compliance, security, or privacy that stood out?</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Thanks for sharing!</p>

##### Post Metadata
- Posted at: 11 months ago
- Author title: Marketer
- Net upvotes: 2


## Comments
### Comment 1

Interesting list! We have tried both Rev and Google Speech-to-Text. Rev definitely stands out for accuracy, especially with human transcription, but it got harder to scale because of cost and turnaround time. Google’s option is way more flexible, but it does take some technical effort to actually plug it into your workflows.

##### Comment Metadata
- Posted at: 4 months ago
- Author title: SEO Content Specialist
- Net upvotes: 1


### Comment 2

We evaluated them based on how useful the transcripts were after the meeting, not just during it. At enterprise scale, search mattered a lot because teams needed to be able to find the right conversation again later.

If that part is weak, even a good transcript becomes less useful pretty fast.

##### Comment Metadata
- Posted at: 4 months ago
- Net upvotes: 1


### Comment 3

&lt;p&gt;&lt;span style=&quot;color: rgb(0, 0, 0);&quot;&gt;Do any of these tools support custom vocabulary and industry terms? In my experience, generic transcription often struggles with domain-specific language.&lt;/span&gt;&lt;/p&gt;

##### Comment Metadata
- Posted at: 4 months ago
- Author title: SEO Content Specialist
- Net upvotes: 1


### Comment 4

&lt;p&gt;I’ve also heard larger teams use &lt;a href=&quot;https://www.g2.com/products/fathom-video/reviews&quot; rel=&quot;noopener noreferrer&quot; target=&quot;_blank&quot;&gt;Fathom&lt;/a&gt; for meeting summaries and highlights. I&#39;m curious if anyone has used that.&lt;/p&gt;

##### Comment Metadata
- Posted at: 11 months ago
- Author title: Marketer
- Net upvotes: 1


### Comment 5

At enterprise scale, reliability matters more than features. Fireflies works well for volume, but governance and accuracy were bigger concerns for me.

##### Comment Metadata
- Posted at: 4 months ago
- Author title: Content Marketing Specialist





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