I work as a freelance content creator and consultant, which means I’m on video calls constantly—client meetings, podcast recordings, online courses, Zoom presentations. For the better part of two years, I’d been dealing with a persistent problem that nobody explicitly complained about, but I could feel it affecting my professionalism. Background noise. My home office sits near a busy street, and despite the window treatments and acoustic panels I’d invested in, there was always some level of ambient sound bleeding into my recordings. Sometimes it was traffic, sometimes it was my upstairs neighbor’s footsteps, sometimes just the low hum of the refrigerator or air conditioning. When I reviewed recordings or listened back to podcast episodes, it was always there, subtle but noticeable.
I’d tried the obvious fixes. I spent about three hundred dollars on a better microphone thinking that would solve it. I tested different recording positions and angles. I even recorded some sessions at odd times when the street was quieter, which obviously wasn’t sustainable. For any serious client work that required crystal-clear audio, I’d end up hiring a professional audio engineer to clean up the raw files, which added time and cost to every project. I was using a combination of Audacity for post-processing, manual EQ adjustments in Adobe Premiere Pro, and sometimes just accepting the imperfection because the time investment didn’t justify the marginal improvement. The entire workflow felt inefficient.
The breaking point came during a client presentation I was recording for a major company. They were paying for a polished training video, and halfway through my first take, a garbage truck went by outside. I had to restart, and the second attempt wasn’t much better. I ended up doing four takes, and even then, the audio needed professional cleanup. That evening, frustrated and exhausted at eleven o’clock, I started searching for AI noise cancellation tools. That’s when I discovered Krisp, and after reading through the landing page and seeing actual before-and-after audio samples, I was genuinely skeptical but intrigued enough to try it.
The setup was straightforward. I downloaded the application, created an account with my email, and within two minutes I was looking at a clean, minimal dashboard. The interface isn’t fancy, which I appreciated—it’s just a simple on-off toggle for noise cancellation with an input and output device selector. The first thing that struck me was how fast it was. There’s no export process or waiting for rendering like I was used to with post-production software. I tested it on a Zoom call with a colleague, and she said the audio sounded noticeably cleaner without any weird artifacts or digital processing sounds. That was my first real surprise—I was expecting either obvious degradation of my voice or AI-generated audio artifacts, but it sounded natural.
I started using Krisp during all my client calls immediately after that test. Within the first week, I recorded three different podcast episodes and two video presentations, all with the noise cancellation running in the background. The transformation was remarkable. The traffic noise that I’d considered inevitable was just gone. The refrigerator hum disappeared. Even the occasional dog bark from a neighbor’s yard got filtered out. I wasn’t getting perfect silence, but I was getting professional-quality audio without any post-processing. For the first time, I didn’t feel like I had to apologize for my audio quality or plan recordings around the quietest part of the day.
The time savings were real. Previously, I’d estimate I was spending about thirty minutes to an hour per hour of recorded content on audio cleanup—importing files, identifying problem frequencies, applying filters, listening back multiple times to verify the changes. With Krisp running during the recording itself, that entire step largely disappeared. Some of my recordings still got a quick listen-through, but minimal or no editing was needed. Across a month of work, that easily added up to five or six hours of freed-up time that I could spend on actual content creation instead of technical troubleshooting.
What Krisp doesn’t do—and this is important to note—is remove voices or speech-specific interruptions. If someone coughs or speaks over me or there’s loud conversation in another room, it’s not filtering that out. It’s specifically targeting ambient, constant background noise, which is exactly what my problem was, but it’s not a general audio cleanup tool. I learned this the hard way when I recorded in a coffee shop thinking Krisp would handle all the background chatter. It didn’t. That limitation is actually fine for my use case because I don’t record in chaotic environments, but I can imagine scenarios where someone working in an open office or a shared space would still run into issues.
The pricing is reasonable. The free tier gives you 120 minutes of noise cancellation per month, which is enough to test whether it works for your situation. The paid plan is about ninety-nine dollars a year, which for my workflow paid for itself within the first month. I’ve been paying the subscription since March, and I haven’t had a single month where I didn’t feel like it was worth it. There are enterprise options too if you’re using it across a team, but as a solo freelancer, the standard paid tier is perfect.
One minor annoyance is that the app runs as a background process constantly, and I sometimes forget it’s on until I notice the indicator light. It’s not a CPU hog, but on some conference calls with multiple participants, I’ve noticed very slight latency, probably under fifty milliseconds but noticeable if you’re paying attention. It’s not a dealbreaker, just something I’m aware of. I usually toggle it off for critical calls where real-time responsiveness matters and toggle it back on for recorded content, which defeats some of the purpose of having it always available.
I’m now planning to test it for some upcoming documentary-style interviews I have lined up next month. I’m curious whether it will handle the more dynamic audio environment as well as it handles my office recordings. There’s also a screen recording feature I haven’t fully explored yet, so I’m thinking about incorporating that into my video course creation process. For now, though, I’m just grateful that I don’t have to book extra time for audio cleanup anymore, and I don’t have to pay an engineer to fix problems that Krisp is already preventing.
