Voice 
Reconstruction AI

Real-Time. On-Device. Language Agnostic.

Whispp's Voice Reconstruction AI converts your softest whisper into your own, clear and natural voice. It can also anonymize your voice.  In real time, on mobile, PC and wearables.

Book a demo
WHISPER
INPUT
NATURAL VOICE
OUTPUT
OUR PARTNERS
— Application domains

One technology,
a broad variety of application domains.

We know what it takes to ship voice features. With Voice Reconstruction AI we help teams bring distinctive voice experiences to market that feel natural to users, create clear product value and fit seamlessly into the devices people already use every day.

— Voice reconstruction explained

We built
what didn't exist.

Noise suppression removes noise from speech and known speech enhancement technologies just improve the speech signal. Whispp is completely different. Our patented Voice Reconstruction AI generates the entire clean and natural speech signal in real time, even when the input is whispered or otherwise voiceless.

See How It Works
REAL-WORLD USE
A whisper, restored
— mid-flight, mid-call, mid-conversation
LATENCY
< 120 ms
OUTPUT
Natural voice · clean
— WhisppWAVE

One engine.
Every device.

WhisppWAVE brings Voice Reconstruction AI to mobile, PC and wearable calling experiences through SDKs designed for rapid product integration.

— How to implement

Real-time voice reconstruction, built into your existing stack.

  • Native SDKs for Android and Windows
  • Drop-in integration with existing audio pipelines and conferencing stacks
  • 100% on-device processing — audio never leaves the device
  • <120 ms end-to-end latency, optimised for Qualcomm, Arm and AMD silicon
whispp_init.cpp
std::vector<float> WhisppInference::processFrame (
  const std::vector<float>& frame) {  
  std::vector<Tensor> inputs = {    
     makeTensor({1, frame.size()}, frame),
     makeTensor(_voiceShape, _voiceProfile),
     makeTensor({1, _streamState.size()}, _streamState)
  };

auto outputs = _session.run(inputs);  

_streamState = outputs[1].toVector<float>();
trackLatency(_modelName);  

return outputs[0].toVector<float>();
}
— Getting started

Three steps to a working integration.

01

Book a Demo

See Voice Reconstruction AI running on your platform, in real time, before committing to anything.

02

Talk to our experts

We walk you through SDK fit, performance benchmarks, and licensing for your specific hardware.

03

Get your integration plan

Walk away with a clear technical and commercial path towards a successful Whispp integration.

— Validated by the industry

Recognized by experts for deep-tech voice innovation.

Whispp has received international recognition from TIME, CES, Forbes and other technology and accessibility organizations. These awards reflect the technical depth, real-world relevance and human origin of Voice Reconstruction AI.

See more
2025
Fast Company
Innovation by Design
2024
Time
Best Inventions
2025
Forbes
Accessibility 100
2024
CES
Reviewed Awards
2024
Mobile World
Best of MWC
2024
AARP
AgeTech Collaborative
2024
MWC Barcelona
4YFN Finalists
2024
CES
CES Innovation Award
— Assistive ambitions

Our origin.
Our ambition.

Whispp started with the people who needed it most: those who lost their voice to illness, and those who stutter severely. That ambition hasn't gone away. It is waiting for the right foundation, and WhisppWAVE builds it. The next phase will bring our technology to assistive applications, with the medical validation these users deserve.

Read more
— WhisppWAVE White Paper

Want to dive deeper?

Download the integration white paper — a full technical overviewof Whispp's architecture, SDK, and compliance framework.

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