AI noise cancellation and automated notes for clear voice calls
Krisp was founded in 2017 by Davit Baghdasaryan and Artavazd Minasyan to tackle distracting background noise during remote voice calls. The company emerged from deep learning research in sound processing and expanded its scope from basic audio cleaning to full meeting intelligence. Today, it sits quietly between your physical audio hardware and your communication apps, stripping out unwanted sound in real time.
For remote workers, software engineers, and independent consultants, background noise remains a persistent nuisance. Mechanical keyboards rattle during standups. Coffee shop chatter interferes with architecture reviews. Children, couriers, and traffic disrupt client consultations. Krisp presents a simple technical remedy: an artificial intelligence layer that listens, separates human vocal cords from ambient disturbance, and discards everything that does not belong.
Krisp does not function like a standard web plugin or recording bot. Instead, it installs a virtual microphone and a virtual speaker driver onto your operating system. When you open an audio programme such as Zoom, Google Meet, Slack, or Microsoft Teams, you choose the Krisp virtual devices instead of your default hardware.
Your actual microphone captures every raw sound in the room. The audio buffer feeds directly into Krisp's neural network, which was trained on thousands of hours of speech combined with diverse audio noise. The algorithm reconstructs human vocal frequencies and discards the acoustic residue. The cleaned voice then passes into your conferencing software.
Crucially, this pipeline works in reverse as well. If an engineer on the other end of the line is phoning from a noisy workshop or typing violently on blue switches, Krisp can process their incoming sound stream through your headphones. You hear a cleaned voice, even if the person talking has never installed Krisp themselves. That dual-ended isolation makes long design sessions far less fatiguing on the ears.
A typical workday with Krisp begins in the background. The app boots with the operating system and hides in the menu bar or system tray. When a scheduled call starts, an unobtrusive floating widget indicates whether the noise suppression is active. There is no need to invite an automated bot account into your private call, which spares you the awkwardness of explaining why an external listener is in your client meeting.
While you talk, Krisp takes silent notes. Its integrated transcription engine registers who is speaking, generates a real-time transcript, and produces a summary once the call terminates. For a developer explaining a bug fix or a technical project manager running sprint planning, this automated documentation is genuinely useful. You can focus on debating pull requests or clarifying requirements without scribbling frantically on a notepad.
After the call wraps up, you receive an alert. Opening the application displays the transcript alongside structured action items. You can copy the generated task list straight into Jira, Linear, or GitHub Issues. The summary usually captures technical points accurately, provided the speakers spoke with reasonable cadence and clarity. Because the transcription process happens alongside local audio capture, it bypasses the connection drops that occasionally plague cloud-based recorders.
The software market contains dozens of meeting assistants, such as Otter.ai, Fireflies.ai, and Fathom. Those platforms primarily operate by dispatching a noticeable bot into your call room. Many corporate clients, financial organisations, and defence contractors outright ban those third-party bots from joining confidential sessions due to compliance regulations.
Krisp sidesteps this issue neatly. The software handles both noise suppression and transcription directly through the virtual audio path. To the host and participants, your connection looks completely ordinary. No bot appears in the attendee list, no automated announcement interrupts the greeting, and no security alarms trigger on corporate firewalls. For contractors handling sensitive codebases or private client audits, this distinction is invaluable.
Furthermore, Krisp provides on-device speech processing options. Many competing transcription engines send your raw spoken words to external cloud clusters immediately. Krisp performs the heavy computational audio separation on your local machine, keeping raw acoustics confined to your workstation. If data privacy is a central requirement in your workplace contracts, this architecture is a massive advantage over standard cloud transcribers.
Krisp has expanded beyond simple noise reduction by introducing accent localization features. In globally distributed software teams, strong regional accents can occasionally impede technical discussions. Krisp uses machine learning to subtly adapt pronunciation patterns in real time, softening harsh phonetics to make speech easier to comprehend for international listeners.
In testing, this feature produces mixed results. Mild regional accents sound smoother and easier to track over cheap headphone microphones. However, heavy accents can sometimes end up sounding slightly robotic, with synthetic artifacts creeping into the cadence. It is a bold engineering experiment that can aid comprehension, but it requires careful testing before you switch it on during high-stakes client negotiations.
Standard noise removal, however, remains remarkably solid. We tested the system against crying babies, leaf blowers outside an open window, coffee shop chatter, and aggressive mechanical keyboard typing. In every case, the background racket was excised almost completely. The only noticeable side effect was occasional thinning of the user's vocal tone when noise levels climbed dramatically, but intelligibility stayed high throughout.
Because Krisp relies on continuous neural inference, it demands hardware resources. On modern Apple Silicon chips or recent Intel and AMD processors, the CPU footprint is modest, usually hovering around three to six percent. However, on older quad-core laptops, running Krisp alongside a heavy compilation task, multiple Docker containers, and a video call can push the machine toward thermal throttling.
There are also minor audio quirks to note. Occasionally, the virtual microphone driver can desync if your computer goes to sleep during an active meeting or if you hot-plug a USB audio interface. When this happens, your conferencing software may fall silent, forcing you to toggle the audio settings back and forth to restore sound. It does not happen often, but when you are about to present a slide deck, a lost microphone connection is annoying.
Another point is vocal clipping during simultaneous speech. When two people talk over each other, the algorithm can get confused about which voice belongs to the speaker and which belongs to background bleed. This can lead to brief, choppy cutouts in audio until one person stops talking.
Krisp operates a freemium model. The free tier offers a taste of the technology by providing a limited allocation of noise-cancelled minutes per day alongside basic transcription capabilities. It serves well for occasional catch-ups or brief daily scrums, but anyone working full days of remote meetings will burn through the free quota in short order.
Upgrading to a paid subscription grants unlimited noise cancellation minutes, complete transcription histories, and access to more comprehensive team meeting summaries. Krisp divides its offering into individual plans and enterprise team plans, with team tiers adding centralised billing, single sign-on support, and compliance analytics. Check the Krisp website for current prices and regional billing tiers before committing, as subscription packages and feature bundles are updated periodically.
Krisp is not the right choice for every professional setup. If you possess a high-end dedicated audio interface, an acoustic-treated office room, and a dynamic broadcast microphone with a physical hardware noise gate, Krisp's software filters will be largely redundant. Purists who care deeply about rich, natural vocal timbre may find Krisp's processed sound slightly sterile.
Similarly, if your team works exclusively inside Microsoft Teams or Zoom, take note that both platforms have drastically improved their built-in noise suppression algorithms over the past few years. Zoom's aggressive background noise suppression handles basic dog barks and keyboard noise without needing any third-party virtual driver.
Gamers and streamers with modern graphics cards might prefer Nvidia Broadcast. Nvidia Broadcast uses dedicated graphics processing cores to eliminate noise with minimal CPU overhead, and it comes free for owners of compatible hardware. Dedicated meeting summarisers like Otter or Fireflies remain superior if you require deep integrations with customer relationship management platforms or complex automated workflow triggers across disparate web applications.
If you work remotely in unpredictable noise environments, frequently type through meetings, and need private call notes without inviting awkward bots to your calendar, Krisp is a dependable addition to your software stack. It fixes the annoying auditory distractions of distributed work, allowing you to get on with your job in peace.
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