Overview
Resound is an AI-powered podcast editing platform engineered to automate the tedious aspects of post-production. Built by professional audio engineers responsible for top-charting shows like Culpable, Resound utilizes proprietary machine learning models to automatically detect and flag filler sounds (e.g., umms, ahhs) and long, awkward silences exceeding three seconds. Following an 'empower, not replace' philosophy, the tool allows creators to maintain full creative control by reviewing each suggested edit before deciding to 'cut' or 'keep' it. In addition to manual click-and-drag trimming, Resound features an Enhance tool that automatically mixes, masters, removes background noise, and normalizes audio to optimal loudness standards. Supporting both single track and multitrack editing, users can export their finalized projects in WAV, MP3, or AAF formats. With an intuitive workflow designed to reduce editing time by up to 80%, Resound is trusted by over 20,590 creators. The platform also offers developer API access and is actively developing future features like video exports, stutter detection, and semantic filler word removal.