Krisp

Krisp is an AI-powered noise cancellation and meeting assistant built by Krisp Technologies, Inc. It installs as a virtual audio device on your computer and sits between your microphone, speakers, and any call application you already use. The product has two distinct functions: removing background noise and echo from your audio in real time, and automatically generating transcripts, summaries, and action items after each call. It is primarily aimed at remote workers, customer support teams, sales representatives, and developers who need clean audio and structured meeting records across platforms they already use.

How Krisp works

Krisp routes your microphone and speaker audio through a local AI model that runs entirely on your device. Because the audio is processed on-device rather than sent to a cloud server, your conversation audio does not leave your machine during the noise cancellation step. The tool applies two-way cancellation: it filters background noise from your outgoing microphone signal so other participants hear only your voice, and it filters noise from the incoming audio so you hear the other side more clearly as well. Echo removal runs alongside noise cancellation without requiring a separate configuration step.

For meeting intelligence, Krisp records your calls and generates a real-time transcript once a meeting ends. The AI Meeting Assistant feature then produces a written summary and a list of action items extracted from the conversation. These outputs are available from the Krisp dashboard and work across video conferencing platforms including Zoom, Google Meet, Microsoft Teams, and Webex. No browser extension or platform-specific integration is required because Krisp operates at the operating system audio layer. The tool also tracks your usage analytics, such as how many minutes of noise were removed per session.

Strengths

The core noise cancellation is the most consistently praised aspect of Krisp. Because it works at the system audio level, it applies across every call application without separate configuration for each. Users in open offices, home environments with street noise, or shared workspaces report that background sound is suppressed without audible artifacts in most conditions.

The privacy-first local processing is a meaningful differentiator. Unlike cloud-based transcription services that stream audio to remote servers for processing, Krisp’s noise removal runs on your hardware. This matters for teams with data sensitivity requirements.

The AI meeting assistant reduces post-call work by capturing transcripts and pulling action items without requiring a visible bot account to join the meeting. The Pro plan at $8 per month billed annually includes unlimited noise cancellation, transcription, and AI-generated notes, which is competitive for the combination of features offered. Krisp carries a 4.6 rating across approximately 25,000 reviews, indicating broad user satisfaction at scale. The tool supports desktop (Mac and Windows), iOS, Android, a browser extension, and an API for custom integrations.

Limitations

The free tier limits noise cancellation to 60 minutes per day and AI summaries to two per period. Teams that run multiple long calls daily will hit this ceiling quickly and need a paid plan. The Pro plan unlocks full usage, but the Business plan at $15 per month billed annually is required for team management features, meaning growing teams face a higher per-seat cost than the entry Pro price suggests.

Some advanced use cases, such as customizing AI summary formats or building deeper CRM integrations, are not well documented publicly. Developers looking to extend Krisp through the API may find the available documentation thin compared to more developer-focused transcription platforms. In environments with extreme background noise levels, speech clarity can degrade during the noise suppression, though typical office and home environments are handled reliably.

Krisp does not offer collaborative meeting features like shared note editing, comment threads on transcripts, or team meeting libraries in its lower tiers. Teams that need those workflows may need to pair Krisp with a separate collaboration tool.

Who it is for

Krisp is a strong fit for individual remote workers or freelancers who take calls across multiple platforms and want a single audio-cleaning layer that requires no per-app setup. It also works well for customer support agents and sales representatives who need clean audio on every call and want automatic transcripts without adding a bot account to each meeting. Developers who need programmatic access to noise cancellation or transcription via API are a supported use case.

It is a weaker fit for teams that need collaborative transcript review, CRM-native integrations out of the box, or meeting coaching features like talk-time analytics and sentiment scoring. It is also not ideal for users whose entire call volume happens within a single platform that already offers built-in noise suppression, such as Microsoft Teams or Zoom, since those platforms include their own noise filters at no extra cost.

How it compares

Otter.ai focuses on transcription and speaker identification with a strong mobile application, but it does not include real-time noise cancellation. If clean audio is a higher priority than post-call transcript search, Krisp is the more direct solution. Fireflies.ai joins meetings as a bot participant to record and transcribe across all major video platforms and adds AI search and CRM sync, which makes it more capable for team sales workflows, but the bot participant is visible to all meeting attendees. Fathom offers a free tier with no usage caps for Zoom meetings and delivers highlights and summaries quickly, though it does not include noise cancellation. The category page for AI productivity tools covers a broader range of options if your needs extend beyond call audio and transcription.

Krisp occupies a distinct position because it combines live audio cleaning with post-call intelligence in one tool that does not require joining calls as a bot. For users whose primary pain point is background noise on calls, that combination is difficult to replicate with a single alternative.