Krisp Review, Pricing & Alternatives (2026)

Krisp Technologies, Inc. develops software for real-time voice communication. Founded in 2017, the company says its technology is deployed on more than 200 million devices and processes more than 80 billion minutes of voice conversations monthly. Its product line extends beyond desktop noise filtering: Meeting AI handles transcription and notes, Contact Center AI supports agent productivity, and developer products provide voice models and real-time translation. Krisp raised a $5 million Series A in 2019, according to its year-in-review announcement. Headquartered in Berkeley, California, the company serves consumers, businesses, contact centers, and developers. This range means prospective customers should identify their use case before comparing plans, because the products have separate purposes and purchasing paths.

A typical Meeting AI workflow places Krisp between the user and Zoom, Teams, Google Meet, or another calling application as a virtual microphone and speaker. Noise cancellation runs locally. The optional AI assistant captures meeting audio, creates a transcript, and produces notes, action items, and searchable chat. Paid Meeting plans include bot-free recording and notes for in-person meetings. Integrations and webhooks can connect outputs with other workflows, while mobile access extends note-taking beyond a desktop call. Contact Center AI adds after-call summaries, monitoring, agent assist, speech analytics, and accent conversion for live customer conversations. Teams can use Krisp to improve what participants hear or reduce the manual work required after conversations end.

Krisp uses different technical approaches across its products. Desktop noise cancellation and SDK models can run on-device or on a customer’s servers, while cloud APIs expose real-time speech models through WebSockets. In February 2026, Krisp introduced a voice-translation SDK supporting more than 60 languages, custom vocabulary, and Windows, macOS, and Web deployments. In May 2026, its VIVA update combined voice isolation, voice activity detection, turn prediction, interruption prediction, and signal detection in a CPU-oriented server-side SDK. The company also describes 2026 turn-prediction and interruption models designed for low-resource real-time inference. These deployment choices determine whether processing occurs locally, on customer infrastructure, or through Krisp’s cloud.

Meeting AI pricing is straightforward but does not remain free beyond evaluation. The seven-day trial costs $0 and includes unlimited transcription, noise cancellation, recording, and AI notes, with limited accent conversion. Core costs $16 per user monthly, or $8 per user monthly when billed annually, and includes 10 GB of storage and one hour of daily accent conversion. Advanced costs $30 monthly, or $15 annually, with 60 GB of storage, four hours of daily speaker-side accent conversion, Salesforce, ConnectWise, and manager controls. Enterprise pricing is custom and adds SSO, SCIM, on-device private transcription and recording, unlimited storage, and data-center choice. Call Center and Developer products are separate purchases, so total costs depend on the selected product.

Krisp’s strongest distinction is its combination of local noise removal, bot-free meeting capture, accent conversion, and voice-agent infrastructure. Its cloud meeting features still require trust in a service handling transcripts and recordings, while Core storage is limited to 10 GB. The product line may also be confusing because Meeting AI, Contact Center AI, and developer APIs have separate plans and billing. Otter.ai and Fireflies.ai provide established meeting-transcript alternatives, while Zoom AI Companion may cost less for organizations already paying for Zoom. Krisp should be chosen by teams that need audio processing as well as meeting notes, especially contact centers and voice-agent builders. Teams seeking only basic transcription may find a narrower meeting tool easier to evaluate and administer.