Krisp Voice Isolation

Overview

Krisp Voice Isolation is a real-time audio model for voice AI pipelines that separates a primary speaker from competing voices and room echo before transcription. It is best suited to teams building voice agents that need cleaner speech input alongside tools for managing conversational signals. Its low-latency, CPU-based design is appealing, but the required audio format and custom pricing make fit and cost important questions before adoption.

Key features

Isolation is designed to clean audio before it reaches speech-to-text, addressing overlapping voices, background chatter, and room echo. Krisp says Voice Isolation 2.5 has 15 ms latency on CPU and reduced word errors by 46% in its benchmark. Those claims make it relevant for responsive voice agents, though benchmark results do not guarantee the same outcome in every pipeline.

The VIVA SDK also includes Turn Prediction, Interruption Prediction, Voice Activity Detection, and detectors for accent, gender, and synthetic speech. These models give agent teams more than noise reduction: they can support decisions about conversational flow and audio signals. The SDK is intended to sit before an STT engine and is stated to work with any STT engine.

Teams can deploy VIVA server-side on-premises or in their own cloud. Krisp lists integrations for LiveKit, Pipecat, and raw WebRTC pipelines. The specified input and output are PCM S16LE, 16 kHz mono audio, so teams using another format should account for that requirement in their integration.

The VIVA page lists Python, Node.js, Go, and iOS SDKs. Krisp also says its AI Voice SDK library is available for Windows, Mac, Linux, Web (JS/WASM), iOS, and Android. Security details are provided through Krisp's Trust Center. The breadth of deployment and platform support is useful for varied infrastructure, but it does not remove the need to confirm that the audio interface matches a particular stack.

Pricing

Pricing is on request, and both plans have custom pricing. Krisp offers an Early stage plan with VIVA and RTC models, aimed at startups, early-stage builders, and teams experimenting with voice AI. It is the natural starting point for a team assessing the models, but it requires an application rather than a published self-serve price.

The Enterprise plan adds higher-quality models, server-side batch processing, model customization, dedicated engineering support, custom SLAs, and volume pricing. It is better suited to organizations that need tailored models, batch workflows, or operational commitments; those additions are unlikely to matter as much to a team seeking only a basic real-time isolation layer.

Teams can describe their use case to receive SDK and trial access. No trial duration is stated, so confirm the access period and terms before planning an evaluation.

Platforms

Krisp lists Windows, Mac, Linux, Web (JS/WASM), iOS, and Android for its AI Voice SDK library. The VIVA page separately lists Python, Node.js, Go, and iOS SDKs. This supports a range of client and server environments, while the audio requirement remains PCM S16LE, 16 kHz mono in and out.

Who it's for

VIVA is aimed at teams building voice AI agents, especially those that want isolation and additional speech signals in a server-side pipeline. Early-stage builders can apply for the Early stage plan and trial access; enterprises needing customization, batch processing, dedicated engineering support, or custom SLAs have a clearer fit with Enterprise. It is less suitable for buyers seeking a consumer voice-cleanup app or an immediately priced subscription.

Pros and cons

Pros: Voice Isolation targets competing speech and room echo before transcription, while the SDK bundles turn, interruption, activity, and signal-detection models.

Pros: Krisp reports 15 ms latency on CPU and a 46% word-error reduction in its benchmark, relevant claims for teams prioritizing responsive agent pipelines.

Pros: Server-side on-premises or customer-cloud deployment, named integrations, and stated compatibility with any STT engine offer flexibility in pipeline design.

Cons: PCM S16LE, 16 kHz mono input and output is a specific integration requirement that may add work for systems using another audio format.

Cons: Both plans use custom pricing, and trial duration is unstated, so teams cannot estimate cost or evaluation time from a posted price.

Alternatives

AI Voice Isolators is a useful category starting point for comparing tools in this space.

AudioShake is worth considering when a free plan and work with separate stems or lyrics matter more than a real-time voice-agent pipeline.

LALAL.AI is an alternative for buyers who want a freemium service with a free queue and file-based audio workflow.

AIVoiceSeparator may suit users who want a free monthly allowance for song separation and related music analysis rather than voice-agent infrastructure.

Altered Real-Time Pro is a closer fit for Mac or Windows users seeking speech-enhancement isolation models and daily processing minutes.

clir Focus is an iOS option for buyers looking for a session-based product rather than an SDK for voice agents.

HitPaw Vocal Remover is an alternative for users who prefer a paid vocal-removal license with a stated monthly price.

VocalDrop is a free option for desktop users who want track processing without track limits or an account.

Demixr is a web-based freemium alternative for users whose needs fit its monthly upload allowance and queued processing.

Verdict

Choose Krisp Voice Isolation if you are building a voice AI agent and want speaker isolation, related conversational models, and server-side deployment in one SDK. The combination of CPU-based low-latency processing and broad STT compatibility is its central appeal. Look elsewhere if you need transparent pricing, a defined trial period, or an audio interface that avoids the specified PCM S16LE, 16 kHz mono format.