Fan noise, echo and a thin, distant voice - most home recordings fail for the same few reasons, and they are fixed in a strict order. Here is the full chain: room first, mic distance second, honest levels third, and only then the AI cleanup from the video.
Your voice sounds recorded in a tunnel, behind a fan, and every viewer notices in the first five seconds. The fix people reach for is a tool - and the tool in this video, SoundAi Vocal Remover, genuinely works. But it works best on a recording that was already made properly. This page lays out the whole chain in the order that actually matters, ending with his cleanup step.
Example levels only. The goal is simple - your voice should be the loudest thing in the recording by a wide margin.
Every cleanup tool works on the same rule: the cleaner the recording, the cleaner the result. Echo, fan hum and room noise are baked into the file the moment you record them, and no software fully removes what the room added. Before spending on any tool, spend five minutes on the room - it pays more than any plugin.
Distance is the free upgrade most people skip. A voice recorded from 15 to 20 cm from the mic sounds present and dry; the same voice from a metre away sounds like a bathroom announcement, and the cleanup tool then has to fight the whole room instead of just polishing your voice.
Set your recording level so your normal speaking voice peaks roughly between -12 dB and -6 dB - this is the widely used safe range. Two failures ruin a take permanently: peaks hitting 0 dB (clipping), because the lost part of the waveform cannot be recreated, and a level so low that turning it up later also turns up all the noise with it.
Before the real take, record 20 seconds exactly the way you will record the full video, then listen on headphones. Check four things: no clipping on your loudest word, no fan or hum louder than a whisper behind your voice, no echo tail after each sentence, and your voice clearly louder than everything else. Fix problems now - after the full recording, the same problems cost you ten times the effort.
This is the tool Technical Anshu demonstrates in the video. SoundAi Vocal Remover works on the recording you already have - you do not need to re-record anything.
Grade it honestly: this kind of AI cleanup is very good on steady noise like fans and hum. It is weaker on echo and on other voices, TV or music playing behind you, because those sound like speech too. And it cannot repair clipping - a distorted loud word stays distorted. That is exactly why steps 1 to 3 come first.
If you edit the cleaned voice further in your video editor, keep the finishing order simple: clean first, then gentle EQ, then a light compressor if the volume jumps around, and loudness at the very end. Streaming platforms normalise playback loudness (YouTube targets around -14 LUFS), so a wildly loud master gains you nothing - a clean, even voice at a sensible level is what survives.
See the before and after with your own ears - the complete SoundAi Vocal Remover process, step by step.
▶️ Watch Full VideoIt can remove steady background noise remarkably well, and that is most of what makes home audio sound cheap. But a studio sound is mostly a quiet, treated room and a close mic - software cannot fully remove echo or rebuild a clipped, distorted word. Record clean first, then clean up lightly, and the result genuinely comes close.
As shown in the video, you load an audio or video file and the tool separates the vocal from the background noise, so fan hum and room noise drop away and only your voice remains prominent. You then save the cleaned audio and use that file in your edit.
Not usually. Run the cleanup first and judge it on headphones. Re-record only if the take is clipped and distorted, or if echo and other voices behind you are so strong that the cleaned voice sounds unnatural - those two problems are cheaper to fix by recording again in a better room.