Krisp Accent Conversion - Understand accented speech in real time

Accent Conversion for the Listener removes accent friction in real time. It converts accented English into neutral American English on the listener’s side, so speakers don’t change how they talk — you just understand instantly. Fully on-device with near-zero latency and works across Zoom, Teams, and Meet. Built for global teams where “can you repeat that?” quietly slows everything down.

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Hey PH 👋

How many times have you nodded in a meeting… and guessed?

Accents aren’t the issue. Misunderstanding is. And it costs time, clarity, and sometimes credibility.

1.1B people speak English as a second language. Global teams are the norm. AI voice agents are scaling fast. Yet both humans and AI still struggle with accented English.

So we built Accent Conversion

It runs on the listener’s side and converts accented English into neutral American English in real time. The speaker doesn’t change. They don’t install anything. You just understand — the first time.

Fully on-device. Near-zero latency. No weird robotic voices.

Would you use this? Or is misunderstanding just part of global work we’ve learned to tolerate?

Let’s talk.

Asti

 Hey Asti. Can people in very diverse teams in multilingual contexts apart from English expect the same benefits or results?

 The tech currently works for Accented English but once we nail this case it will be easy for us to start adding languages

 Can the accent conversion also work on platforms like X and Tiktok during the live spaces? Or maybe during the phone calls. Does it allow for voice change?

I've been a long-time fan, going back to at least 2019, when I hunted !

Now the team's back with something new: Think noise cancellation, but for accents.

You’ve been on calls where you think you caught what someone said — but did you really? You smile, nod, and hope you got the gist. But when accents are thick and clarity counts, can you risk it?

Recently I was on a call supporting a founder with their Product Hunt launch whose first language was clearly not English (I won't say who!). Try as I might, I could only discern 75% of what they were saying. Fortunately I was also supporting and with this Krisp Accent Conversion launch! Once enabled, my comprehension went up to 97% and we finished the call with a clear plan to get them to launch on time.

The technology behind Krisp's Accent Conversion tech is genuinely impressive: it runs locally on your device's CPU, and dampens accents in real time. You hear the speaker’s voice—but minus any heavy accent that can get in the way of comprehension.

If you've used Krisp's products before, you know they can ship real breakthroughs in audio.

This one feels like the next big one.

If you’re on global calls or work with a distributed team—this one's worth trying out.

   Thanks again for hunting us back in 2019 and for being part of this journey

Really happy to share this launch. Accent Conversion is designed for real meetings, not lab demos. Thanks for checking it out.

Congrats on the launch.
Would love to see this also as a Chrome extension for YouTube.

 thanks! Chrome extension is in the makings! Will announce very soon.

What accents does it support?

 It support Indian, Filipino, LATAM, African accents (SA, Kenya, Nigeria, Uganda, Egypt), and also US standard and British standard accents.

🎉 Proud moment for .

Accent Conversion is a thoughtful addition to the Krisp desktop app.

Feels great to hit publish on this.

Proud moment for . Accent Conversion tackles the listener-side problem in meetings. Curious what use cases pop up first.

 Yes, very excited to see which real world use cases emerge first

Congrats on the launch. It's indeed a great product for global and multi-lingual teams.

 thank you!

i am impressed with this development specially for meeting 7 day trial is enough for me. i wish it will be part of my office in future.

 thanks Abdul.

Hey PH 👋

Big milestone to celebrate today. Accent Conversion is a big step for our Voice AI work.

Happy to answer questions in the comments.

 It really is!

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