Krisp

1. Should you try Krisp? Overview

What it is	Krisp AI — On‑Device Real‑Time Voice‑AI & Bot‑Free Meeting Assistant Platform (Independent, Active, Not Shut Down) Official website: krisp.ai
Country / HQ	Berkeley, California, USA
Best for	Remote‑hybrid workers taking calls in noisy home‑office / co‑working environments
Check before buying	Watch out: Teams whose primary requirement is best‑in‑class deep‑meeting‑analysis and structured note‑templates (Otter‑ai/Fireflies alternatives)
Pricing signal	Free trial only, then paid from $16/mo

2. Features What it does

Feature	What it does
Bidirectional Noise Cancellation	On‑device real‑time removal of background noise, echo, cross‑talk, keyboard clicks, animal and street noise; cleans both mic input and incoming speaker audio — No audio sent to cloud for noise‑filtering; works with any conferencing app via virtual audio device
Bot‑Free Meeting Assistant	Real‑time multilingual transcription, speaker identification, AI summaries, key‑points, auto‑extracted action‑items; no meeting bot joins calls — Supports online virtual meetings plus in‑person meeting recording
Accent Conversion	Real‑time speaker‑side accent neutralization & listener‑side accent understanding; supports Indian, Filipino, Latin‑American, South‑African English; tiered usage limits per plan — Calibration script required; audio artifacts common; ongoing patent‑litigation risk 2026
Recording & Assets	Audio/video meeting recording, custom vocabulary library, meeting history storage, AI chat over transcripts — Storage quota varies by subscription tier
Integrations	Salesforce, ConnectWise, Slack, Zapier, webhooks; push notes and action‑items to CRM/workflow tools — Advanced‑tier unlocks enterprise CRM connectors
Developer Surface	Public REST API, SDK stack for embedding voice‑AI; native hosted MCP server (Streamable‑HTTP only) for Claude / Cursor / ChatGPT / VS‑Code agent access — MCP available starting from Core plan; enterprise‑grade voice‑translation SDK optional

3. Pricing Pricing (2026-10, USD)

Plan	Price / mo	Key limits & who it fits
Free Tier	$0	60‑min/day noise‑cancellation hard‑cap; unlimited transcription‑recording; 2 AI notes/day; 7‑day meeting history; limited storage; permanent free tier, not trial
Core	$16/mo | $8/mo annual	Unlimited noise cancellation, unlimited transcription & AI notes, mobile app, basic integrations, 5 GB storage, MCP access
Advanced	$30/mo | $15/mo annual	Everything in Core; accent‑conversion quotas; Salesforce‑ConnectWise integration; admin‑manager view; 30 GB storage
Enterprise	Custom	SSO‑SCIM, HIPAA compliance, on‑device transcription options, dedicated account manager, unlimited storage, SLA, volume discounts

4. Integration Access & integrations

Access type	Details
Access	access_type: desktop‑app‑win‑mac‑plus‑ios‑android‑mobile‑app‑plus‑web‑dashboard‑rest‑api‑native‑mcp‑server access_display: 🌐 krisp.ai web dashboard; 💻 Windows/macOS native desktop app; 📱 iOS / Android mobile app; 🔌 Public REST API & developer SDK; 🤖

5. Reviews & Sources External reviews

Source	Rating	What it says
Pros	—	Industry‑leading bidirectional real‑time noise cancellation; runs on‑device preserving call‑audio privacy; compatible with nearly all conferencing software via virtual audio device.
Pros	—	Bot‑free meeting capture; no participant‑bot joining calls; avoids customer‑call‑intrusion concerns for sales‑client conversations.
Pros	—	Unique real‑time accent‑conversion capability improving cross‑accent English‑language comprehension for global distributed teams.
Pros	—	Ships native MCP server exposing meeting‑transcripts, summaries and action‑items for AI‑agent workflows; complete public API for developers.
Pros	—	Respectable permanent free tier for individual testing; mobile app supports in‑person offline‑meeting capture.
Cons	—	Free‑tier noise‑cancellation hard‑daily‑cap; historical price‑increase frustrated long‑term paying‑users.
Cons	—	Accent‑conversion carries unresolved patent‑litigation risk; audio‑output can sound unnatural or robotic; usage quotas restrict heavy‑use scenarios.
Cons	—	Transcription quality and meeting‑summary depth lag dedicated meeting‑assistant competitors at comparable price‑points; poor performance on heavy‑domain‑specific jargon.
Cons	—	On‑device‑AI processing increases CPU‑utilization and battery drain on older laptops; Bluetooth headsets degrade noise‑filter effectiveness.
Cons	—	Limited built‑in meeting‑agenda/task‑tracking functionality; designed to complement not replace full meeting‑management platforms.

6. Best for / Not for Fit

✔ Suitable

✘ Not suitable

• Remote‑hybrid workers taking calls in noisy home‑office / co‑working environments • Sales & customer‑success teams needing bot‑free call recording‑transcription without spooking clients • Global distributed English‑speaking teams dealing with heavy‑accent communication friction • Developers / AI‑agent builders wanting MCP‑exposed meeting‑data plus voice‑AI SDK embedding • Contact‑center‑oriented teams evaluating real‑time‑voice‑AI tooling

• Teams whose primary requirement is best‑in‑class deep‑meeting‑analysis and structured note‑templates (Otter‑ai/Fireflies alternatives) • Users requiring polished‑high‑fidelity accent‑neutralization for every‑call production use (legal‑risk on accent‑conversion feature) • Older low‑power laptops where high‑CPU‑on‑device‑processing creates performance issues • Meeting‑workflows fully‑reliant‑on‑Bluetooth‑only‑audio hardware • Pure podcast‑post‑production (Cleanvoice‑ai better fit)

7. Competitors How it compares

Competitor	How it differs	Best for
Otter.ai	Transcription‑first meeting assistant	$16.99‑mo
Fireflies.ai	Bot‑based meeting notes & CRM sync	$19‑mo
tl;dv	Zoom‑native meeting‑recording‑assistant	$20‑mo
Descript	Transcript‑driven audio editing	$12‑mo
Cleanvoice AI	Post‑recording‑offline‑audio cleanup	$11‑mo
Sanas	Real‑time accent‑conversion specialist	Custom‑enterprise‑pricing

8. Summary Verdict

Who should pick it	Remote‑hybrid workers taking calls in noisy home‑office / co‑working environments
Who should skip it	Teams whose primary requirement is best‑in‑class deep‑meeting‑analysis and structured note‑templates (Otter‑ai/Fireflies alternatives)