Krisp Review: Is This AI Note Taker Actually Private? (And What to Look For)

AI note-taking tools are convenient, but they come with a trade-off: your conversations are often sent to a cloud server for transcription. For anyone who discusses medical information, legal matters, or internal business strategy, that trade-off is unacceptable. Krisp has positioned itself as the privacy-first alternative, processing everything locally on your device. But how much should you trust that claim, and what does “local” really mean in practice?

What Happened: Krisp’s Privacy Architecture

Krisp is an AI-powered meeting assistant that can join video calls, suppress background noise, and generate notes—all without storing the raw audio on a server. According to the company’s public documentation, the core meeting summarization and transcription happen on your device. The AI model runs locally, which means the raw audio never leaves your computer.

Krisp also claims to use “zero-knowledge encryption” for any metadata or processed notes that are synced across devices, and it gives users the ability to delete stored transcripts permanently. The company’s privacy policy states that it does not sell user data, and that recordings are not used to train its AI models unless the user opts in.

That said, independent security audits of these claims are not easy to find. Krisp has not published a recent third-party penetration test or verification report. The company has also made minor changes to its privacy wording over time, so it’s worth reading the current policy before committing.

Why It Matters

Voice data is particularly sensitive. It can reveal tone, emotional state, and identity, and once it leaves your device you lose control over copies. Rivals like Otter.ai and Fireflies.ai rely heavily on cloud processing: recordings are uploaded to their servers, transcribed there, and then stored. They do offer encryption and deletion controls, but the fundamental architecture means the platform—and potentially the platform’s employees or law enforcement—could access the raw audio.

For a journalist, a human resources manager, or a healthcare worker, that difference matters. Even if you trust a company’s intentions, data breaches happen. By keeping the audio on your machine, Krisp reduces the risk surface significantly.

But local processing is not a silver bullet. Krisp still needs to send text-based notes to the cloud if you want to sync them to other devices. And the summary data, even if encrypted, is still being stored by Krisp. The company says it cannot read that data (zero-knowledge), but you are relying on their technical implementation being correct.

There is also a performance trade-off. On-device AI can be slower than cloud-based systems, and the accuracy of transcription may vary depending on your hardware. Krisp works best on newer Mac and Windows machines with dedicated neural engines.

What Readers Can Do

If you are considering any AI note taker—Krisp or another—here are four concrete checks to evaluate privacy claims:

  1. Ask where the processing happens. The most important question: does the raw audio clip ever leave your device? A privacy-first tool should say “on-device” clearly. If the answer is “edge-to-cloud” or “encrypted in transit,” that still means the audio is on a server at some point.

  2. Look for data residency and deletion controls. Can you set an auto-delete policy for transcripts? Can you permanently delete everything from the cloud, including backups? Krisp lets you do this, but some tools bury the delete function or keep copies in anonymized form for “model improvement.”

  3. Check for third-party audits or certifications. SOC 2, ISO 27001, or a published penetration test from a reputable firm provide independent evidence. Krisp, as of now, does not prominently advertise such audits. That does not mean they are unsafe, but it is a gap compared to some enterprise-focused tools.

  4. Read the privacy policy for exceptions. Look for phrases like “disclosure to comply with law,” “affiliated companies,” or “aggregated de-identified data.” Even a privacy-first tool may share summary data or metadata if compelled.

If you decide to try Krisp, start with a single meeting that has non-sensitive content. Verify that the local processing is actually working (you can check the activity monitor for CPU usage). Then test the deletion function and see how quickly transcripts are removed.

Sources

  • Krisp official website and privacy policy (current as of May 2026)
  • Krisp’s public documentation on on-device processing and encryption
  • Comparison articles from PCMag, Wirecutter, and The Verge that reference architecture differences

Final thought: Krisp is likely the most private major note-taking tool available today—but “private” is a spectrum, not a checkbox. If your threat model includes surveillance or leaks of raw audio, Krisp wins. If you need airtight verification from a third party, the field is still maturing. Test it for yourself and see if the convenience outweighs the remaining uncertainties.