Krisp vs Otter.ai: pricing, features and which to choose

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’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.

Otter.ai is a cloud meeting assistant for recording, live transcription, searchable conversation history, summaries, action items, and meeting chat. It can join Zoom, Microsoft Teams, and Google Meet, while web and mobile apps record directly. Current plans are Basic, Pro, Business, and Enterprise. The free tier includes 300 monthly minutes, but limits conversations to 30 minutes and imported files to three lifetime items. Otter is an active product for professionals, students, sales teams, researchers, and organizations that want automatic notes and a searchable memory of spoken conversations. For a buyer, the central value is reducing manual note taking and making past discussions easier to revisit. The main fit question is whether meeting volume, conversation length, and import needs remain within the selected plan’s boundaries.

A typical workflow connects a calendar or meeting service, lets Otter join, or records through the app, then reviews the transcript, speaker labels, summary, and action items. AI Chat answers questions across meetings and can work with connected context. Pro raises monthly transcription to 1,200 minutes, extends meetings to 90 minutes, and adds advanced search, exports, templates, vocabulary, Salesforce, HubSpot, and Zapier integrations. Business adds unlimited in-app meetings, custom workflows, unlimited imports, four-hour meetings, analytics, activity logs, and stronger workspace administration. Buyers should match these differences to operating habits: occasional users may need only review tools, while sales or service teams may value integrations, repeatable workflows, and centralized administration enough to justify a higher tier.

Otter works well for clear business meetings, lectures, interviews, and recurring team discussions, but it is not legal-grade transcription. Noise, overlapping speakers, accents, and poor microphones can require cleanup. Fireflies.ai and Fathom compete on meeting capture and summaries, while Rev and Sonix are stronger transcript-focused comparisons. Basic is useful for testing, but frequent users can hit monthly or per-meeting caps. Choose Otter for searchable meeting memory across major video platforms, or another service for broader language coverage or strict human-accuracy requirements. Compared with Fireflies.ai, Otter emphasizes a broad meeting-memory workflow; compared with Fathom, it offers a different balance of capture and plan limits; compared with Rev, it is less suited to accuracy-led transcript purchasing. Buyers should choose Otter for searchable cross-platform meeting history, Fireflies.ai or Fathom for alternative meeting workflows, and Rev for transcript-focused needs.