Stay free if you only need 60 minutes/day noise cancellation and limited transcription. Upgrade if you need everything in core and 4 hr/day speaker accent conversion. Most solo builders can start free.
Why it matters: Meeting transcription trails dedicated tools like Otter.ai in multi-speaker accuracy
Available from: Core
Why it matters: Accent conversion limited to a handful of accents, no support for European or East Asian accents yet
Available from: Core
Why it matters: Call center product requires minimum 40 seats, excluding small support teams
Available from: Core
Why it matters: On-device processing can spike CPU usage on older machines during long calls
Available from: Core
Why it matters: Core plan pricing ($8/month) is reasonable, but Advanced and Enterprise require sales conversations with no public pricing
Available from: Core
Why it matters: Connect to your existing tools and automate workflows. Essential for scaling operations.
Available from: Core
Yes. Krisp installs as a virtual microphone and speaker on your system, so any app that uses your mic or speakers will route through it. It works with Zoom, Teams, Meet, Slack, Discord, WebEx, and over 800 other apps. You just select 'Krisp Microphone' and 'Krisp Speaker' in your app's audio settings.
No. All noise cancellation and voice processing runs on your local device. No audio leaves your machine. This is verified in their SOC2 report and is what enables their HIPAA compliance claims on Enterprise plans.
Krisp's noise cancellation is noticeably stronger than the built-in options in Zoom and Teams. The built-in tools handle light noise but struggle with louder, persistent sounds like construction or barking. Krisp also works across all apps, so you get consistent noise cancellation whether you're on Zoom, a phone call, or Discord.
For single-speaker or two-person calls, it's comparable. For multi-speaker meetings with cross-talk, dedicated transcription tools like Otter.ai still have an edge on accuracy. Krisp's advantage is that it transcribes without a bot joining the call, which matters for client-facing meetings.
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Last verified March 2026