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←BACK TO BLOG /Company News... / / Cartesia''s Ink-Whisper is Now Live on Vapi

Cartesia''s Ink-Whisper is Now Live on Vapi

 Cartesia''s Ink-Whisper is Now Live on Vapi'
Abhishek Sharma • Jun 12, 2025
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Abhishek Sharma • Jun 12, 20252 min read
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For any real-time voice agent, the most critical moment is the silence after a user stops speaking. That time it takes for Speech-to-Text (STT) to finalize a transcript determines whether a conversation feels natural or stilted. Slow STT breaks the illusion of a real conversation.

Today, Cartesia is releasing Ink-Whisper, a new STT model built specifically to solve this problem, and it's available on Vapi now.

What is Ink-Whisper?

Ink-Whisper is the first streaming-optimized version of Whisper, engineered from the ground up for conversational AI. While Whisper set the standard for transcription quality, it wasn't designed for the demands of real-time turn-taking. Ink-Whisper addresses this directly.

Our initial tests and Cartesia's benchmarks show a significant reduction in the time-to-transcript completion. 

It's engineered to handle the realities of real-world audio like background noise and varied accents, delivering a complete transcript faster than most streaming APIs. 

Why This Matters for Builders on Vapi

Better, faster STT is a foundational improvement for any voice application. With Ink-Whisper on Vapi, you can immediately test how this new level of performance impacts your agents.

Because Vapi handles the entire audio pipeline, you can test Ink-Whisper's impact on your agent just by changing a single line in your config. There's no need to build a new integration or change your infrastructure.

This is why we built Vapi as a model-agnostic platform: to give developers the ability to experiment with and deploy the best new models the moment they are released.

How to Get Started

If you're already building on Vapi, you can start using Ink-Whisper immediately.

  1. Head over to your
  2. In your agent configuration, set the transcriber provider to cartesia.
  3. Set the model to ink-whisper.

That's it. Your agent will now use Ink-Whisper for transcription. We encourage you to run your own tests against your current default STT provider to measure the impact on latency and user experience for your specific use case.

If you have questions or need support, our team is available on Discord.

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