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AI-powered silence on demand: eliminate background noise and distracting voices in real-time.

Krisp is the industry-standard AI noise reduction layer, positioned in 2026 as an essential component of the professional remote stack. Unlike cloud-reliant solutions, Krisp utilizes a Deep Neural Network (DNN) that operates locally on the user's device. This architecture ensures sub-15ms latency and maintains strict data privacy by processing audio streams entirely on-device (CPU/GPU). The core technology is trained on over 20,000 distinct noise profiles and 50,000 human speakers, allowing it to distinguish between the primary speaker's voice and environmental disturbances, including barking dogs, keyboard clicks, and even secondary human conversations in the background. As of 2026, Krisp has expanded beyond simple cancellation to include 'Voice Redaction' and 'Live Translation' features, making it a comprehensive communication intelligence platform. For enterprises, Krisp offers a centralized dashboard for performance metrics, helping organizations measure call clarity across global teams. Its market position is uniquely fortified by its bi-directional capabilities, filtering both outgoing (microphone) and incoming (speaker) audio, ensuring a clean communication loop regardless of the hardware used by other participants.
Krisp is the industry-standard AI noise reduction layer, positioned in 2026 as an essential component of the professional remote stack.
Explore all tools that specialize in voice isolation. This domain focus ensures Krisp delivers optimized results for this specific requirement.
Processes both the input (mic) and output (speaker) streams using a low-latency DNN layer.
Uses vocal biometric fingerprinting to isolate the primary user's voice and remove other human voices nearby.
Detects and eliminates the feedback loop created when mic and speakers are too close.
Real-time speech-to-text conversion with LLM-based summarization of action items.
Executes inference on local hardware using Tensor Cores or NPU when available.
Pre-processes audio to remove non-essential data before compression by the VOIP app.
Optimized audio drivers for Citrix, VMware, and Azure Virtual Desktop environments.
Download the Krisp installer for Windows or macOS from the official portal.
Execute the installer and grant necessary system permissions for audio driver injection.
Authenticate via SSO or email to activate the local neural engine.
Open your communication app (Zoom, Teams, Slack) audio settings.
Select 'Krisp Microphone' as your input device.
Select 'Krisp Speaker' as your output device.
Perform the 'Voice Health' test within the Krisp app to calibrate the DNN.
Toggle 'Remove Background Voice' to isolate your specific vocal signature.
Enable 'Auto-summarization' for automated post-meeting action item generation.
Configure centralized updates via MSI or PKG for enterprise-wide deployment.
All Set
Ready to go
Verified feedback from other users.
"Users praise Krisp for its 'black magic' ability to remove harsh noises, though some report high CPU usage on older machines."
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