AI Accent Understanding
No more “Can you repeat that?”

Listeners can now understand accented speech in real time during meetings,
without the need for speakers to change anything.

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Everise logo
Startek logo
Transparent BPO
FirstSoruce logo
Movate logo
TTEC logo
TransUnion logo
Arrivia logo
Officegurus logo
Km2 logo
ResultsCX logo
iContact logo
eClerx Logo
Genpact Logo
Frontline Logo
Virtual Staffing Logo
Foundever logo
WNS logo
Conduent logo
Afni logo
IDFC logo
Intercontinental logo
Manulife logo
Nutun logo

We are not changing how you speak. We are changing how the world understands

If people have accents, it means they already operate in more than one language.
Technology should adapt to that, not the other way around.

We're solving the problem
where it actually happens

Listener side real-time comprehension
Zero Effort for the speaker
Privacy-first

How it works

Step 1
Speaker talks
naturally

No installation, no workflow changes, no coaching or repetition. The speaker shows up exactly as they are.

Step 2
AI processes on the
listener's side

Our model analyzes accent-specific patterns in
real time, mapping pronunciations for clearer
comprehension.

Step 3
The listener understands
clearly

Speakers' authentic voices are preserved
while comprehension improves in real time.

Works seamlessly with all conferencing platforms

Zoom logo Microsoft Teams logo Google Meet logo Webex logo Slack logo
Designed for Privacy

Confidence in every word, privacy in every call

When the system captures words correctly, everything built on top gets better: transcripts, summaries, action items. But accuracy means nothing without trust. That’s why privacy is built in by design.
On-device processing Audio is processed locally on your device. Nothing leaves your machine.
No training on your data We don't train models on user data. Not even the sneaky “on by default but you can turn it off” kind. We just don't do that.
No audio is stored All audio processing happens in real time and is never stored. Your conversations remain completely private.

Misunderstanding
is the tax of global
teams

50%
of the global population is bilingual or multilingual
Global teams are
on the rise
HR and business leaders expect more than half of new hires will be international by 2026
$1.2 T
Is lost annually to poor communication in U.S. businesses

Have questions?
We’ve got answers.

Is this standardizing voices?
No. It doesn’t alter voices permanently or require behavior changes. It’s built to reduce friction in live conversations, not enforce norms.
How does Accent Understanding work?
Accent Understanding runs fully on-device (CPU-only), using a proprietary neural model trained on hundreds of thousands of hours to deliver voice-preserving accent neutralization in near real time (≤200ms). It works instantly across Zoom, Teams, Meet, and other voice conferencing platforms with zero integrations via Krisp’s virtual audio layer.
Does this work for all accents?
Models are trained across diverse English accents and designed to improve intelligibility in global meetings, delivering strongest results across Indian, Filipino, Latin American, African, and Chinese-Mandarin accents, while improving comprehension across many others. Coverage continues to expand.
Will it add latency?
It’s designed for near real-time use (around ~200ms or less), so it should feel natural in conversation.
Will other people hear the “adapted” audio?
No. It’s only for the listener who turned it on.
What about privacy and data use?
Audio is processed on the user’s device in real time. Conversations are not stored or sent to external servers.
Can it misinterpret words or change meaning?
It’s designed to preserve meaning and the speaker’s identity while improving intelligibility. Like any audio tech, results depend on input quality, and you can always toggle it off if it isn’t helping in a specific moment.
Didn’t Krisp already release accent technology?
This is different. It builds on Krisp’s earlier accent AI work, but solves a completely different problem. Accent conversion is outbound, changing how one person sounds to everyone else. Accent Understanding is listener-side and inbound, adapting speech only for the individual listener, locally and in real time. With the addition of Accent Understanding, Krisp now addresses both sides of the conversation, extending real-time voice AI from speech clarity to comprehension, setting a new benchmark for inclusive, comprehension-first voice technology.

Stop polite nodding, start
understanding

Join thousands of professionals who've discovered
the power of clear communication, without changing who they are.

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