CleanNoise is an online tool that removes background noise from audio and video files using artificial intelligence. It is designed to eliminate common unwanted sounds such as hum, hiss, wind, fans, and background chatter, while restoring the clarity of the primary voice or audio. The tool processes files up to one hour in length and supports a range of formats, including MP3, WAV, M4A, and FLAC for audio, as well as MP4, MOV, and MKV for video. Users can upload files by dragging and dropping them onto the website or by clicking a choose file button. No sign-up or account creation is required to use the basic preview functionality. The workflow consists of three steps. First, the user uploads a file. Second, the AI automatically analyzes the recording, detects the background noise, and removes it. A free 30-second preview of the full quality result is played instantly, allowing the user to compare the original and cleaned versions. Third, if satisfied, the user can download the complete cleaned file. Payment is only required for the download, with options including a single file for 0.99 USD, credit packs, or a Pro subscription. The Pro plan offers 15 hours of processing per month, batch processing, history, and priority support. The user can also choose the output audio format among MP3, M4A, WAV, or FLAC; video files are returned as video with the cleaned audio track. CleanNoise is built for situations where voice clarity is critical, such as podcasts, interviews, voiceovers, lectures, and online calls. It can clean room tone and background hum from multi-guest recordings, reduce wind, traffic, and crowd noise from on-location audio, and fix noisy recordings from platforms like Zoom, Meet, or Teams. An additional option allows the user to remove echo or reverb from recordings that sound muffled or low quality. The tool does not require the user to manually select a silent section for noise profiling; the AI handles detection automatically. No editing skills are needed, and the entire process is designed so that users can hear the result before committing to any payment.